Affirm, a buy-now-pay-later platform founded by Max Levchin, is redefining financial services by addressing core weaknesses in traditional credit systems. Levchin’s background—shaped by hardship and a passion for technical problem-solving—fuels a business culture focused on solving hard financial problems, not just easy ones. Affirm operates as a vertically integrated payment network, not a lender, leveraging network effects to grow rapidly, processing over $50 billion in GMV at 30% annual growth. Unlike traditional credit cards, its loans are transaction-specific, with fixed interest rates, no late fees, and repayment plans that go to zero, resulting in better consumer outcomes and lower delinquency. The business uses advanced AI underwriting models that analyze real-time transaction data to personalize lending, improving risk assessment and profitability. Revenue primarily comes from interest on long-term loans, yielding a 4–6% gross margin—stronger than other BNPL models. Network effects accelerate growth: more merchants adopt the platform, increasing access and consumer usage, while existing customers use the service seven times per year on average. Despite early volatility and market skepticism, Affirm has weathered downturns through disciplined operations, flat headcount, and strong retention. Its competitive edge lies in offering longer-term, higher-value loans with superior underwriting, while its merchant-funded zero-interest offers and firm card provide strategic advantages. The business continues to innovate through a dedicated innovation lab, driving new products and partnerships. With a market cap of $25 billion and a stable, resilient business model, Affirm is positioned for long-term growth and value creation in the evolving e-commerce and payments landscape.
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Today, we are breaking down a firm, the by-now pay-later company founded by PayPal CoFounder Max
Levchin. A firm now processes more than 50 billion GMV and is growing over 30% a year. One of
the most interesting ideas we explore is that a firm is better understood as a payment network
than a traditional lender. It has powerful network effects, sophisticated credit underwriting,
and a long run way for growth as e-commerce takes share of retail and by-now pay-later take share
of e-commerce. Joining me today is Fraser Christie, founder and CIO of Sandstone Global Investment.
Fraser has studied a firm closely for years and this conversation will give you a much
greater appreciation for the business and the founder behind it. I hope you enjoy this breakdown
of a firm. So I wanted to start the conversation speaking about Max. From what I understand,
he actually has a very interesting path to being a founder. I think a lot of people know him
from his days at PayPal and the PayPal Mafia, but they probably don't appreciate his full story
and background. I know you've been able to spend time with him over the past couple of years
and it really gets him to know who he is as a person. So maybe just share with us his background
and more just about his uniqueness that he brings to the company. Max's biography deserves its
own podcast and a book as well because he's lived a pretty extraordinary life. But I mean even going
back to PayPal because I think it gives you a sense of the grit. Max was born in Ukraine to a
family of physicists and scientists. They left Kiev when Max was about ten after the Chernobyl
nuclear disaster. He tells this story of arriving in Crimea and he set off a Geiger counter because
he had a radioactive thorn in one of his shoes and they spent five years there with his grandparents
and then moved to Chicago right before the fall of the Soviet Union. Max can obviously speak
English when he moves to Chicago, but he does tell some great stories about the translation issues
in those early years. He wanted to apply to MIT and accidentally called it MTI and the application
letters for example. So he ends up going to University of Illinois where like fun,
fact of history is Mark Andreessen had just launched Mosaic the early web browser. So Max enters
University thinking he's going to be an astrophysics professor and ends up being bitten by the startup
bug and immediately starts hisnesses and wants to be an entrepreneur. And it's actually in that
period of time that the idea for a firm is seeded because coming from the Soviet Union he didn't
really have a concept of credit cards and credit and how it all worked and so he basically just
grabbed a credit card while he was at university and started funding his startups using credit cards
and was paying them back late inadvertently he was doing a lot of damage to his credit rating.
Now unlike a lot of people who never recover when they ruin their credit rating, Max would
subsequently go on to be wildly successful as you mentioned early 20s as the CTO and one of the
co-founders of paper working alongside Elon Musk and Peter Teal and all that cast of characters.
But Max's poor credit rating still haunted him through this period despite being very successful.
The story he tells is he flew to LA after the PayPal IPO to buy a convertible car to presses
you then girlfriend now wife and the car dealer declined the loan because his credit score was so bad
and this is despite you know he could pick up a magazine and he was on the front page as a 20-something
year old so he had to sit there at the car dealer and wait for a wire to clear before he could drive
away and he also talks about his friends pranking him for years at restaurants by having staff
pretend his card had been declined so he had these very personal experiences of the credit card
system not really working for him and for a lot of Americans and people around the world.
A decade after he left PayPal, Max started a firm with a mission that still stands today which is
to deliver honest financial products that improve lives so there's no late fees, no compounding
balances, no deferred interest, no fine print. When he first started the business with that
mission and he was speaking to people in the industry they thought he was completely insane
because there is a lot of profitability and economics charged in the industry on those types
of mechanisms. He's still sort of known as Max the founder of PayPal but I think if we roll
forward the clock five years ten years we think he will well and truly be known as Max the founder
of a firm because this business will ultimately we think be more influential than his kind of act one
and it's important to know that Max is obviously very technical I mentioned he was the CTO of PayPal
they were sort of early pioneers in fraud detection and cryptography and all these really interesting
parts of processing payments on the internet. The culture and the DNA and the people that have
firm highs is deeply technical. Max wanted to set out securing the type of mathematical talent that
otherwise ends up in scientific research or hedge funds building models to make money in split
second decisions. He's been able to attract a lot of talent both because he is technical but also
the mission of the business is to kind of dramatically improve the credit ecosystem around the world.
Are there other ways where the spirit of Max shows up in the business? One is maybe he's
technical so right he hires very high caliber technical talent. Other other ways that seem
significant. The biggest one for us is Max talks about this framework he has in his head of
starting businesses of the problem to be sold has to be hard valuable and fun. HVF was the
name of his incubation which is how a firm has started to? Yes I think the hard in HVF is the
really interesting piece. Max lends in to solving hard problems and that goes to we want to
solve the problem of unsecured lending large amounts of a long periods of time to consumers
and not have get out of jail mechanisms like late fees and compounding balances and those sorts
of things. The business has been running almost 15 years and they've nailed that and continue to
evolve and improve and get better but Max's personal DNA of leaning into hard problems you see
throughout the whole organization and I think despite in its early days particularly as a listed
business being pretty high on the stock based comp offenders list and those sorts of things
they have gone through the process of getting a much more disciplined head count has been flat
for a number of years now. GNA has been flat for half a decade stock based comp has been flat
for half a decade they're willing to actually make hard decisions and do the hard things to make
their business stronger for the long term. When we did this with Alex Rampell who actually happens
to be a co-founder of a firm a couple years ago on Visa what we did was we walked through an example
of a simple card transaction when someone taps their card how the money moves who's involved
which intermediaries are kind of taking a piece of it so I'd kind of like to start with doing that
but for a firm let's say I'm online whether Shopify or Amazon and I want to buy a cafe so I go ahead
I click a firm in the checkout let's just assume I click monthly payments can you just like walk us
through exactly what happens from there on out where the people involved where is the money flowing
through who's on the hook for the actual payments we just go through that as much details you can.
The highest level we think of a firm as kind of the American Express or the payment network
built for the internet in any commerce.
And so if we walk through a transaction, I'll help give a sense of why that is the case.
And so to use your example, a consumer is on a merchant's website, Amazon target, whoever
it may be, and they want to buy something typically reasonably material, the average purchase
price for an affirmed transaction is about $250, so let's say it's a couch.
Let's assume this person is not already in a firm customer, but when they get to the
checkout, they see the offers for a firm financing, so there might be a 0% interest loan over
three months, a 20% interest loan over six months, and a 25% interest loan over 12 months.
Now this point, these are just theoretical offers because a firm hasn't actually pulled
your credit history yet.
And so the consumer decides that these loan terms sound interesting, and so they click
on the Affirm button at checkout to set up an account.
They provide a few details like their mobile number, name, date of birth, and the last four
digits of their social security number, a firm then matches not only the data from the
transaction, so what is the merchant, what is the basket size, what are the skew details,
with the data from the credit pool to finalize the terms of those offers.
Assuming a firm is still happy to underwrite the transaction and the consumer is still happy
with the finalized terms, the consumer selects the offer that they're happiest with and they
check out, the consumer then pays that plan in line with the terms agreed at the point
of sale, and that's a very key distinction versus a credit card.
The interest rate is fixed, the repayment schedule is fixed, and the balance is paid
to zero according to the rundown of the plan.
In terms of the actual flow of funds on the merchant and the Affirm side, let's say the
purchase price was the $250 a firm pays the merchant, the $250 less whatever fee they
agree, a firm receives for the transaction, so let's say it's $5, and that's called
the merchant discount rate or the MDR, that MDR varies widely depending on the merchant
and the type of loan, but we can kind of get into the specifics of that later.
In this instance, let's say a firm keeps the $5 and sends the $245 to the merchant,
a firm then also makes money on the interest payments paid by the consumer when it is
an interest bearing loan.
So the merchant's happy, they've essentially secured a transaction from a customer that
they otherwise wouldn't have converted.
The customer is happy because they were able to purchase this couch on attractive terms,
and so collectively, the mechanism makes a lot of sense for all the parties involved.
Now on the funding side, about half the loans a firm originates, gets sold to third parties
and moved off balance sheet, and about half remain consolidated on balance sheet, that's
still utilizing third party facilities.
So the things we would highlight in that transaction, the customer acquisition is extremely efficient.
You can imagine the more merchants that have a firm check out the more customers see those
offers, the more customers a firm acquires, there's very real network effects, very much
like an American Express.
And the second thing we would highlight, and we're going to probably talk a lot about
this, is just how different that credit-underwriting process is to a credit card and how different
that customer experience is to a credit card as they're paying back a line.
Half of US credit card holders today have a revolving balance, the average credit card
balance in the US is $7,000.
There are mechanisms with credit cards, whether it be variable interest rates, compounding
balances, late fees that mean people can end up being really unfortunate scenarios where
they're constantly trying to pay down debt over many many years.
That process does not happen with a firm.
Every loan is underwritten on a transaction by transaction basis, and they are designed
to be paid down to zero.
So these are much better for consumers, and the data shows they end up with much better
underwriting outcomes.
I've actually heard Max say that the credit card has been the best form factor for payment,
and he couldn't really imagine that being disrupted, but obviously he's working on doing
that, and his background is in cryptography and antifraud at PayPal, so he spent a lot
of time thinking about quantitative ways to underwrite, maybe just walk us through some
of the ways that a firm is approaching underwriting that traditional credit cards haven't been
able to build up.
The clearest and biggest difference here is that they're underwriting transaction by transaction.
If you imagine a credit card, you're approved for a general purpose line of credit, maybe
it's a few thousand dollars, and you're kind of told, "Good luck, don't spend it all
at once," and you're kind of left to figure it out on your own.
A firm is doing every single transaction uniquely, whether that is interest rates are changing,
the economy is changing, the type of purchase you're making.
They're always feeding that through their models to adjust who they're lending to, how
much they're lending to, and what rates they're lending at.
So that's the core structural difference when you then sort of go the layer deeper.
The business has talked a lot about the use of AI and transformer based underwriting
models, particularly at their recent analyst day, and so they're basically seeing every
time they release a new underwriting model, which is on a call at six, seven-month cadence,
they're getting materially better underwriting outcomes, and this is as they load more and
more data into those models to train over time.
So what you're seeing is you've got the core model of underwriting on a transaction basis,
gives you a step-function better outcome, and then also a firm sophistication in the
team, and the models they're building gives them another step-function change in underwriting
outcomes.
For context, when we compare credit or underwriting metrics versus businesses like a
company, a firm gets better outcomes, and that's reasonably material when you think a
synchrony would talk about having 75% of its customer base being prime, whereas a firm
would talk about, call it, 50% of their customer base being prime.
So despite the differences in the customer base, the firm process ends up in better underwriting
outcomes.
It's an interesting segue, because I was going to ask about what the expansion opportunities
would be from better underwriting.
One of is you can just service more potential customers, whether that's prime or non-primest,
that's one.
Are there other things, whether from a demographic perspective or otherwise, that being much
better at underwriting opens up different pools of merchants or consumers that maybe other
peers or other card payments would want to touch?
It sort of impacts the whole network.
Merchants are happy because they're getting more sales.
There's more consumers that browse the website that can actually transact.
Consumers are happy because where maybe a credit card wasn't approving them for a limit,
maybe a hundred dollar loan for a very short repayment schedule can be approved by someone
like a firm.
So they're also getting access to credit.
And typically what we see when, again, a firm is talking about their business, is that
frontier of we can approve more of these people across more, let's call it credit score
bands, and end up still with very, very strong repayment rates and very low delinquency levels
because they're optimizing the dollar amounts and the terms for each individual.
I do just want to highlight, there is a big misconception that all of BNPL and all of
these financial technology businesses that have credit aspects to them are generally lending
to non-prime customer bases.
Like the credit card industry and other traditional lending industries, it's the full spectrum.
So yes, you get some players that are predominantly lending to subprime, but then someone like
a firm, as I mentioned, their average customer is actually generally prime, particularly
when you look at the dollars they're kind of lending rather than custom account.
And it's also just not young people, it actually kind of skews perhaps older than you would
think.
Ages 30 plus is kind of the age bracket.
And so the product isn't a kind of subprime lending to people that otherwise couldn't
have access to credit.
It's a much broader pool of the population.
And I would just sort of re-highlight and double down on the statistic that half of US
credit card holders are sitting on revolving balances.
And so there's this huge portion of the population that haven't necessarily been served by a great
product.
They're suited to them historically.
And a firm is targeting that part of the population.
They're not targeting the American Express platinum card holder that wants points and
airport lounges.
It maybe takes a step back and set the stage on the actual business.
So I want to spend some time on the economics and unit economics, because I think a lot of
people in the here, buy now, pay later, they may just assume, right?
It's just like that merchant discount rate where the merchant pays a fee and that's the
business.
Or you have these very simple, no interest, pay and acts or paying for types of installments
or options.
But from reading and hearing more about the business, it's actually much more complicated
and layered than that.
And there are pretty much various products.
I think there are four primary revenue streams for the business.
So maybe you could just walk us through the different sources of revenue, how they fit
together, the volumes for each in terms of GMV.
It certainly is one of those businesses that can feel very complicated when you look at
the PNL, but at its core, when you think about the biggest line items, it is reasonably
simple.
There are basically three types of offers that affirm, generates GMV from.
So there's interest bearing, the 0% loans, and then the pay and ex.
And basically, let's call it in round numbers, 70% is in that interest bearing category.
in the rest of the world.
is evenly split between 0% loans and the Paynex. And so if I were to split Paynex and 0% loans
look pretty similar from a Paynex perspective and then interest bearing looks different so I'll
split it really into the two categories. So if you look at Paynex you're buying some jeans for
$100 and you're agreeing to pay $25 over four installments. The primary way a firm makes money
there is on the MDR that we've talked about. So that's negotiated. Merchant by merchant, big
merchants get a smaller MDR, small merchants get a higher MDR. Interestingly the MDRs on the Paynex
transactions are generally trending towards credit card rates over time and are sort of almost there.
The 0% loans because the interest is being funded by the merchant, those MDRs are still very high.
But that's typically where you see the big merchant revenue or network revenue coming from.
The second pool of transactions which is the 70% of GMB is the interest bearing loans.
This is a different kind of economic structure because the MDRs are actually very small here,
smaller than the Paynex or the 0% APR loans. The vast majority of the economics are coming through
the interesting come that the consumer is paying to a firm. And so that's the way to think about
the revenue. Paynex is mostly coming through merchant revenue, interest bearing loans is mostly
coming through interesting come. And then the way to think about well how profitable are these
products and a firm discloses this in their recent investor forum. Those Paynex, those shorter
terms, smaller dollar value loans generate RLTC margins or gross profit margins of about 1 to 3%
of GMB. Whereas the interest bearing loans generate a gross profit margin of 4 to 6% of GMB.
So you can see the smaller ones, 1 to 3% interest bearing larger value, 4 to 6% of GMB,
which is why when you look at the firms P&L, it's actually very healthy,
particularly when you compare it to other businesses in this landscape. Because they gravitate
more to these interest bearing loans, they're very profitable. That number is after all of the losses,
all of the funding costs, we've talked about losses being higher on the interest bearing side,
obviously, it's the longer term loans versus the short term loans. That's after all of that.
It's still just a much more profitable product to be sitting at interest bearing loans.
And I think that was the concern with the card product is if people just start using the
a firm card everywhere and start doing more short term Paynex style loans, maybe the economics
won't be as good. But interestingly, people are using the a firm card. The mix of transactions
is actually even more heavily weighted to interest bearing loans than the core business.
And so it's actually an extremely profitable product. Because as I mentioned,
a firm isn't actually generating that much MDR from interest bearing loans when it's directly
integrated with merchants. So the difference when using a card or buying direct online for those
interest bearing loans is not materially different to a firm. All in, I talked about the different
gross profit levels relative to JMB blended a firm generates about a 4% gross profit on JMB margin,
which is industry-leading. Before we started recording, you were talking about how it's a payment
network, although it's also kind of a lending company. And right now it's maybe even valued more
like a traditional lending company, less like a payment network in terms of just like the overall
multiple visa and mastercard are seeing much better multiples than a firm is today. But it is
definitely a payment network and has network effects. So I'd love for you to just describe the
payment network component of the business. So I'll make the distinction between master card and
visa and American Express. All three are payment networks that as most listeners will know,
master card and visa are purely just the rails. And then the card issue is sitting on top,
extended the credit. And so they've kind of disaggregated the credit from the payment network.
American Express vertically integrates. And so they have the payment network because they're
directly integrated with merchants around the world as well as extending the credit.
American Express is a wonderful business and is very well covered by news media. But it has always
traded at a multiple discount to visa and master card because there is a credit component to it.
And so that's why when we talk payment network, we very specifically talk American Express because
a firm has also integrated the payment network in terms of having direct integrations with
merchants or be it online instead of the cafe down the road or the restaurant down the road,
but also having the credit sit on top. Proof of that network effect when we sort of just
think at the highest level is that a firm today processes over 50 billion of GMB still growing
over 30% a year. And that's actually growing faster than it was a few years ago despite the
business now being 2 to 3 times the size. And so rather than seeing kind of an asymptoting
growth rate as the business scales, it's actually being able to maintain or accelerate growth
at scale, which is a good indication that the network effects are very real.
So a firm benefits from all the same network effects that are well studied for a business
like American Express. As more merchants integrate the a firm button, it's available in more places
for consumers to adopt. And then as more consumers become a firm customers, it becomes more
interesting for more merchants because there's a larger consumer base to drive more revenue.
And if you're a merchant assessing which the MPL button to install, you're generally going
to gravitate to the one with the largest customer base because it's generally going to drive
the highest amount of purchase volume. That network effect also feeds through other parts of the
business. For example, since IPO, the average user has increased their usage from two transactions
a year to seven transactions per year because the product is available in more places,
existing customers are seeing a firm and using it even more. And what's also interesting is
in any given quarter, about 95% of transactions are from existing customers.
And so the flywheel is working both in terms of acquiring customers, but also in how frequently
they're using the product. And that translates to things like sales and marketing's cash spend
is very low and has barely moved in dollar terms since 2021 because you have this very efficient
customer acquisition flywheel where most customers, the vast majority, are signing up when they
see an offer that is attractive to them on a merchant's website. And so a firm is not pouring
money into Instagram ads or WorldCup sponsorships to expensively acquire customers that is very
neat flywheel. But these network effects are really important. There's a lot of apps out there
and they've been very successful and they're growing quickly in their good businesses. But you sort
of go into the app, apply for a loan and it kind of loads it onto the account or kind of onto a
virtual card and you then go spend it in the world however you want. That process doesn't have the
network effects that a firm does. And so those other products, we wouldn't call those payment
networks. We would call those lending businesses, whereas a firm has vertically integrated the kind
of lending in the credit and the payments network. And that's why it looks more like the internet
version of American Express, whereas the credit coming out of the credit loaded onto a mobile app
or a virtual card looks more like the kind of historical credit card ecosystem. And so we think
a firm will grow larger, faster, for longer because of the network effects and deserves to trade
at a premium multiple because of that flywheel. I heard that their CAQ is actually negative.
Yeah, so if a customer signs up on a merchant's website, a firm makes money on that loan and they've
just won a customer, it's negative CAQ for customers that come through that channel. If I was being
really picky, when they originally sign the deals with Shopify and Amazon, they did issue equity
to those players. So if you sort of incorporate the amount of equity, they issued to those to merchants
in particular, there is a cost to the CAQ of customers that comes through those two channels. But
generally for the average merchant, the negative CAQ pace is very real. A firm also has these two
double tailwinds, kind of this Pac-Man effect of like we have e-commerce eating more and more of
retail e-commerce is let's say a trillion plus and retail is a multiple of that seven or eight
trillion. So like both of those numbers are probably going to continue to grow and e-commerce is
going to eat more and more retail at the same time you have BNPL by now pay later eating more and more
of e-commerce. So I'd love for you to subscribe some of these tailwinds.
This is kind of the growth for the TAM thesis you perfectly articulated. You've essentially
got e-commerce taking share of retail and the U.S. leads a lot of Western countries on this
front with e-commerce representing about 20% of sales. But the reason that perhaps and listeners
may be wondering why there's an Australian talking about an American payments business,
the reason Australians and Australian investors are generally interested in these business models
is BNPL adoption in the U.S. is actually very early and the countries and regions that actually
adopted it the earliest and the fastest were actually places like Australia and Sweden and Europe
because after pay and Klan are we're kind of born in those regions. So today BNPL is about 6%
of e-commerce in the U.S. That number is about 15 to 25% depending on if you picked Australia or
Sweden or other European countries. So we think BNPL and we use that term loosely what we actually
mean are these merchant integrated payment options so after pay Klan are a firm that in America can
triple and then you're also in terms of it's penetration of e-commerce and then e-commerce is also going to take share of a retail
So you've got these double tailwinds at the industry level and then a firm itself is the market share later
It has about 50% market share and it's actually gaining share. It's growing the fastest in the US in the US
Specifically not international so it's got about 50% market share in the US and it's gaining share and it's actually growing
Faster at its larger scale than both Clarner and after pay and so again when we think about network effects
Typically once you have that escape velocity
It's very hard to catch the market later and it's a good segue into
Agentech commerce because we think
Agentech commerce only accelerates those two kind of industry level tailwinds
We talked about in the sense that agentech commerce is only going to result in more retail
happening online and
Agents are going to be great at figuring out what the best
Credit and payment options are when you're checking out and a firm
We can get into the specifics of how it does it but is an exceptionally good option for a very large chunk of consumers
That are actually optimizing for the best financing offer not just where they get the most points
Could we walk through an example with agentech commerce because I actually think that the stock had dipped on the news of
News and maybe even instinct and rock bots and you have now dots
Maybe there's just like a lot of uncertainty
Everyone in payments is a little uncertain at the moment or how these things are gonna impact it
It certainly seems exciting on one side
It could also be a little scary on the other
Can you maybe just articulate a little bit more about the potential upside and
Maybe why the stock had dropped a bit and some of the concerns that agentech commerce presents
So I think all of financial services and lending and payments
Dropped on the idea that agents will just be better at comparing and contrasting offers
Which is right?
But I think the important thing when we think about a firm is it's
Directly integrated at the checkout at the point of sale and that they
Personalize the offers that a customer is seeing in the sense that there are multiple options
And they are tailored specific for that transaction and that user particularly when that user is already in a firm customer
And so when you're buying that couch from target for $250
The credit card paying a high interest rate the revolving balance the terms and conditions
Doesn't necessarily stack up that well against something like a firm where there's multiple options
Affirm and we can get into the founding story, but there are no late fees
There's no hidden terms. There's no junk or gunk as Max Levson would describe it
What you see is what you get and then the other thing that helps a lot is often the merchants are actually
Subsidizing the affirm loans. So if I give the example of the 0%
Loans that a firm offers the merchant is actually subsidizing that. So you buy your 250 dollar catch
You may get an offer for a 6 or 12 month 0% loan
no credit card or
Credit app can compete with that type of offer and so you can imagine when
Instinct or Muse is doing your shopping for you and you go great. I'm ready to check out
That's what I want it goes just so you know there's a 0% offer from a firm here. We think that's actually the best
It's going to be better for you to use rather than your high interest credit card and you go fantastic
Can you fill it out for me and get it done and of course it's got your name and mobile number and email address and
Potentially last for numbers of the social security number and so it can fill it all out for you
So there's actually less friction than there is as a human to sign up for one of those offers
The affirm product is built for e-commerce
It is e-commerce native and it's only going to be better in a world of agents or more rational
Less emotional decisions on what the best credit option is I'd also say
We haven't talked about max and the team
But this is a San Francisco business highly technical and you already see it today in the integrations they have a firm is very happy
Providing the credit in a white label fashion to things like digital wallets. So shop pay is the canonical example
Shop pain stormance is essentially just a white label version of a firm
We would anticipate that as agents
Want to build wallets into their businesses a firm will build the credit aspect of those and share economics with them in the same way
They have done that to date with businesses like shop fire
Maybe a naive question, but assuming that you can see multiple options at checkout
So whether it's a firm or Clarna or after pay or one of the smaller players
Why a firm would be so much better for just like an average consumer the key distinction
Without being too dismissive of after pay obviously. I'm an Australian. I have a sort of an emotional affinity for after pay
But in the US really today the two main competitors are Clana and a firm will be a firm is
2x the size plus of Clana in the US the key distinction is the types of products and the types of loans they offer a firm has always
Historically gravitated to higher ticket size
Interest bearing longer term loans much harder problem to solve if you're lending someone
$500 over 12 months as max would say there's 12 times that consumer can decide they don't want to pay you back
Clana has more typically gravitated to the kind of $100 pair of jeans paying three paying for
short term loans and they have very different credit underwriting outcomes
Affirm has shown you on their monthly installment plans your cohorts typically have a loss rate of about three and a half percent
On those more traditional bnpl short term low ticket size loans the loss rates are more like one percent
Now why do I highlight that a firm offers and has a long history of offering the full suite of credit products from those pain three pain for
0% loans through to
Many listeners may remember they originally the biggest part of their business when they listed was actually financing peloton bikes on kind of 24-36 month time frames
They can service a much broader selection of merchants and products or they have experienced servicing a much larger set of products and merchants
Then Clana has historically
Clana is moving into these longer term loans
But still that when you look at their business the vast vast majority is the pain x
Style product and so when you're an agent and you're on a merchant's website a firm is generally going to have the broader
suite of options and the firm is also committed to things like no late fees
No penalties, whether Clana still does make money on those sorts of mechanisms
So there's some kind of nuances and quirks in the kind of terms and conditions
But fundamentally we would just say a firm has taken the time to solve the hardest problem of
big loans over long periods of time and has backfield the easier loans
Whether it's Clana kind of started on the easier loans and is now trying to figure out how to do the harder loans
And so today when you sort of see the results a firm is kind of larger growing faster on more merchant websites in the US
And that's where there's less head-to-head web both buttons coexist than probably people think
What was some of the reasons that
Australia and that's specifically after pay and then Clana specifically in Sweden and other countries in Europe
Why were they the pioneers of this specific technology? This seems like it would normally come out of Silicon Valley
And you said a firm is a San Francisco company yet Clana I think started in 2006
Affirmed in start until 2012 talk about like what was some of the ingredients for this starting in Europe in Australia
Clana had been around for a long time the firm had been around for a long time
But the
Ruck market fit moment of really these occult and pay-in-x paying for whatever it might be these shorter-term loans
Didn't happen until the late 2010s
but the big moment occurred
In the US when COVID hit and the NPL volumes kind of 3x in a year through that
2020 period
And I think what was interesting is at that time a firm had been doing these longer-term
Interest bearing loans or monthly installment loans with businesses like peloton
But the pain for type phenomenon hadn't really hit the US because after pay had started in Australia Clana had started in Europe
When COVID hit it was actually those shorter-term loans that all of a sudden took off
A firm actually went from being the biggest business to sort of being one of three and
The market shares were probably actually going against them
And again, it's sort of interesting talking to Max about that period of time
Because we sort of cast our mind back and think that must have been pretty nerve-wracking
You were the first mover in the US but very quickly these international players started taking share
But he sort of reflects on that point I spoke about earlier where
His philosophy was always starting with this really hard problem
And then backfilling with the easier problem rather than trying to go the other way
And so while you had this
The product market fit usage explosion in COVID in the US since then you've seen
Max and affirms philosophy of we want to be able to offer everything to merchants and customers actually come to fruition and they ended up signing Amazon and Shopify and Costco and a bunch of these
Super large merchants I can get just happened to be the founders happen to be there when the business model was created and in terms of penetration
Getting the U.S. and affirms specifically engentee commerce may be one tailwind that will help them close the gap in terms of penetration where in Sweden in Europe
It's 20% Australia might be 15% it's much larger than what it is here in the U.S.
So what are some of the levers or tailwinds that a firm can kind of ride in terms of closing the gap and just growing overall penetration
So interestingly only 75 of the top 250 U.S. merchants are on the Affirm platform
We'll have the Affirm button integrated into their checkout. So there's still a lot of growth
just from the
Enterprise sales motion of turning up to these merchants and getting a firm integrated
Affirm now does offer a
Card to those customers that effectively come through the core funnel
So this is someone that has signed up for an affirm loan through a integrated merchant
They're views the app they've kind of repaid a loan and affirm now offers this card and the card can basically toggle between debit and credit using the visa network
The customer can either pay now pay later or pay now and decide later as they like to say and that card
Let's affirm reach install payments and the online merchants that aren't
Integrated with a firm. So you can be shopping for furniture in store and still take advantage of a multi-month interest bearing loan from a firm
And that product has been very popular so that about 20% of users and GMV now comes from card and it's still growing over a hundred percent year on year
The mechanism is kind of the same in the sense that a firm is still underwriting every transaction and interestingly
They still maintain very strong unit economics because the card
Fees they earn are basically the same as what they would otherwise get on these interest bearing loans with an integrated
merchant but what's interesting is the firm now has all this data of where their customers shop
At merchants that aren't integrated with a firm and so it's a great sales tactic when you walk into a new merchant and say hey
Our customers are already spending X million dollars with your business
We think we can drive an uplift of why dollars to your revenue if you'd it integrate us directly into your a commerce site
that flywheel
He's also spinning to kind of help that core engine of the core pain its network with the direct merchant integrations
Why do you think penetration isn't higher on the enterprise side?
It's kind of a win-win solution the merchant kind of knows that conversion rates will be higher
Maybe average orders will be higher to and then consumers also obviously happy
They're able to like pay overtime and have these various options. There's flexibility to it. Why hasn't penetration necessarily been higher
It's an education process and it also kind of occurs industry by industry
So what do I mean by an education process?
There are many businesses that just view
Card acceptance as a cost. How do I lower that cost? How do I have add in and brain tree and strut beat each other up?
So that my processing costs are as low as they can possibly be
And they don't necessarily view it as a strategic lever to drive growth
So it's an education process to say integrate a firm into your checkout
We show all these various offers the cost to the merchant can vary considerably
For an interest bearing loan the MDR the merchant pays
It's kind of similar to what they would pay for a card transaction
But if there's a 0% loan that's merchant funded that can be high single digit
MDR and so some merchants look at that and dinkits are
excessive and totally unnecessary way to drive
Revenue but I think what a firm would say is
Well, you can either do a 20% store-wide sale and every customer that turns up is getting a discount
And it's lower gross margins on all those sales and you have a bunch of customers that otherwise would have paid full price
That are now getting a discount
This is it these sort of 0%
APR loans are a clever way to effectively discount but do it on a personalized basis customer by customer
And so when you think about that phased approach to discounting over particularly for a fashion business over the life of that season
Maybe you start with the 0% loans to help move some volume and then end up in the kind of 20 or 30% discount
A firm tries to educate merchants on the strategic merits and the strategic value
But it just takes time to win those merchants
You do see it also sort of happen industry by industry that all of a sudden once
And Amazon all of a sudden
Launches a firm and this happened in 2020 2021
A lot of other e-commerce players then follow very very quickly because they realize hey the biggest business has decided
This is a valuable tool
We don't have to overthink this lets integrate and so
It's kind of the ground game of going industry by industry business by business and educating them on the merits of the product
We would love it to be faster, but that's the process
Do you have a sense of churn and maybe the traditional sense of churn
Which I assume it would be pretty low because it's just another option that's available at checkout
But at the same time you can see companies some very big like Walmart try to do this themselves and kind of move off of
Affirm also notably it cuts the other way where apple tried to do this
I think it was apple pay later and they
Sunset of that because the underwriting side is actually just like very very difficult
They just went with a firm. I think they integrated clarinet as well
So maybe just talk about that side of the business people maybe trying to build it their own or just overall churn for a firm
The way the company thinks about churn engagement over time is more on the consumer side
So I'll share some of those stats
But basically what you see is cohort steadily expanding over time
They initially start typically
purchasing through a firm offers twice per year
A few years ago the average was a couple of times per year and today the average transaction count is about seven times per year
So you can see that when consumers join they typically
Increase their usage of the product over time. So the consumer value prop is very clear the customer
churn pieces interesting
I don't have the specific set off the top my head, but it's very very low and Walmart is kind of the recent exception
And basically what happened is Walmart turned off a firm and turned on its own one pay
powered by Klaner by now pay later offer
What is interesting is the economic impact to a firm was actually quite minimal for two reasons
The first is that wasn't a very profitable merchant. You can imagine Walmart
Needs their suppliers up on terms and so it's not particularly profitable despite being a lot of volume
So what you do lose is the cac but again powered by a firm white label of a Walmart digital wallet is less exciting from a cac perspective
The other interesting thing though which the company recently disclosed is and I think they use the word large majority of customers that were shopping with Walmart
Are still shopping with Walmart by a firm. They just use the card
So they still prefer a firm. They still have loyalty to the brand. So they've got access to the firm card
And they pay with the firm card and select the interest bearing loan or the offer that best suits them
When they're shopping other install or online with Walmart
There's some kind of interesting nuances and I think people probably thought the Walmart churn was going to be worse than the reality actually was
We talked about covid which is when they went public in 2021 and they went through this wild ride of
I think the market kept doubled on the first day and then after some period of time
macroeconomic
Changes impacted the business
Peloton's stock and business cratering also had a very heavy impact
I think the stock went down 80% 90% plus but there's such a resiliency part of the story
And a lot of that probably has to do with max and the people leading the business
I know we talked about earlier some numbers it's growing on a much larger base
But maybe we just give us the center. How big is it? How fast is growing? Is it profitable?
The journey has certainly been wild. I think it listed at about $49 a share
Closed day one almost $100 a share got to about $175 a share a year later
And then bottoms during the rate height cycle at $9 so more than 90% drawdown
Max's LTI massively underwater
Broke as the piling on with sell ratings and price target downgrades
I can imagine that would have been a very very tough time for the business to go from kind of a
Market dialing in that class of 2020-2021 IPOs to where they were during that period
But roll forward a few years and today share prices back to about $60 to $80 depending on the day
It's about a 25 billion dollar market cap business on a fully-dollar basis
And trades at about 20 times
Adjusted P I'm stripping SBC out of that number
GMV is about 50 billion dollars growing 30% a year and they generate
Revenue less transaction costs RLTC, which is effectively gross profit with about two billion dollars a year
And so that's the rough shape and size of the business as it exists today
When you go back through the case study of the share price journey that the business has been on,
it was obviously overvalued in those early years.
The big part of the share price decline is going from 20 times rubbing you to 20 times PE.
When you actually look at the rate height cycle and the impact on the business,
it was actually only one quarter, the December 22 quarter,
where we weren't shareholders at the time and weren't following the business closely,
but kind of looking back at the trajectory of the business.
As a long-term shareholder, when that result printed,
it would have been reasonably terrifying.
Growth slowed dramatically, margins were down, materially,
and it sort of felt like the numbers were in freefall.
But by the next quarter, it had already inflicted and margins had improved materially.
And then the following quarter, both growth and margins, were reasonably healthy.
Revenue, less transaction costs, which is their version of GrossPrivate,
is something that management talks a lot about.
Other specific metrics that are important to understanding a firm as a business,
whether it's relative to other businesses or just independently,
what are the things that you guys care about and see that are improving or accelerating over time?
It'd be ones for us. We're obviously looking at JNV growth.
We're looking at JNV growth X-card,
so how healthy is the core online business with direct merchant integrations versus the card business?
The card business is fantastic, and it's helping to grow custom usage in the network,
but that core flywheel still needs to be firing,
which is important that that's firing for us.
So JNV and the two constituent pieces are really important for us.
The exact blend between the types of loans
doesn't bounce around a lot and is somewhat less interesting to us.
The GrossProfit or the RLTC is important because it captures all of the revenue of the business,
so the merchant discount rates, the interest, the gain on sale piece,
and then nets it off against the funding costs that they're paying on their debt facilities,
as well as processing costs in terms of their customers paying back the loans,
as well as all the credit loss type costs.
So it really captures that core economic engine of what dollar value is left for a firm
to then pay its corporate business in terms of sales and marketing R&D and OPEX.
As I mentioned, we do benchmark that sales and marketing number compared to other Fintech
and financial services businesses, again, just to get a sense of are these network effects real
and the answer is yes.
We're really tracking the GNA R&D SPC, those sorts of wine items very closely.
GNA has now been essentially flat in dollar terms for five years.
SPC has essentially been flat in dollar terms for six years.
And so where this was one of those classic Silicon Valley businesses that was a pretty
egregious offender on things like stockbass comp when at first IPO'd.
The levels it now reports are well and truly in line with even what the Mag 7 would report
in terms of stockbass comp, so it's middle of the road.
It's not offensive relative to plenty of other businesses that are out there.
We do also obviously track credit losses and those sorts of things just to make sure
there's no material issues in their kind of health of the business, but those sorts of things
get more into the nuances, the core kind of how fast and how big is the network becoming
the kind of where we're spending most of our time.
Inherently in keeping GNA and headcount flat, it also means that you're not laying off people,
which presumably with a very technical team and a very tinkering mindset with AI,
you may be able to lay off people, but that seems to be not his method or in his DNA.
But Henry Elenbogen, who came on to invest in the best, talked up Max.
This is being his act two and that he gave a story where like you would actually go to
different departments and see how they were leveraging AI.
Does that still feel true in how the different methods of management and leadership that Max
imputes?
Definitely. Max is reading scientific papers late at night on AI.
We caught up with Max a few weeks ago and he said one recent weekend he used AI to build
an app to control all of the TVs and stereos in his house because he was sick of hunting around
couches for remotes. He's an engineer. They are extremely technical. 70 or 80% of code is already
being deployed by AI. You compare that culture and that leadership team, how AI build they
are with every other credit card business on earth. It's just not a fair fight or a fair comparison.
The reason we backfoundal ed businesses is this alignment piece because the founders are
economically tied to their businesses and care deeply about pursuing growth opportunities and
taking advantage of big transformational innovations like AI. Just for context, Max's salary is
less than $40,000 a year. He owns no cash bonus. He owns a couple of billion dollars with a stock
and does earn an LTI of stock that's tied to the financial performance of the firm.
And interestingly, the two presidents of the business to your point on longevity of the team,
those two presidents have been with the business eight to ten years and they each own a hundred
million of stock plus, which is more than most CEOs of US public businesses. So the alignment is
there through the organization and starts with Max. They've even recently made some sort of
org design tweaks so that Max is now spending more of his time in what he's kind of calling his
innovation lab in a firm. And so the two presidents kind of effectively run the day-to-day of the
core business. And then Max has a small team of engineers and product people to basically build
the next suite of kind of growth levers to layer on top of what already exists in the business.
This is like the zero to one idea that's inside the business and a firm card is kind of spun out
of it. Exactly. So a firm card we've mentioned 20% of JMV growing a hundred percent year on year.
That is a product that spun out of this innovation lab. A lot of what we're talking about on
the merchant funded zero percent loans network. Where are the brands? So you can imagine
Adidas can fund a zero percent loan when someone buys an Adidas t-shirt on Amazon or Amazon could
fund the zero percent loan. That behind the scenes network has kind of been built out of this
innovation lab. Max is very focused on making sure the whole organization is obviously
implementing AI and we've already talked about it being in their underwriting models.
But also the innovation coming out of a firm continues long into the future. We haven't
talked about it but edge is another example where banks are going to start white labeling
a firm's offering. So imagine you're a regional bank. Your customers have a debit card but you
historically haven't played in credit cards because it's just too competitive a space.
You can now turn on functionality in that debit card like the a firm card where your
customers can kind of move between debit and credit offers and a firm powers all that. Does the
underwriting? Does the servicing builds in the kind of functionality into the regional banks at
to manage the repayments? So it's another way that a firm thinks of itself as a payments network
and in the same way you can have a I'm going to get this analogy wrong because I'm not American
but a Delta American Express card or an American Airlines American Express card. Today you can have
the shop-pay installments powered by a firm or the regional bank hybrid card powered by a firm
and so a firm wants to be everywhere and it wants to be the payment network. It's not trying to be
the primary bank account like a lot of other FinTechs are kind of racing to be. So in the same way that
the JP Morgan's and the Bank of America's and the cities exist to be a kind of full-service
traditional bank American Express exists as a payment network. They still accept
the positives and those sorts of things from a funding perspective but at its core it's a
payments network and a firm is very closely aligned to American Express in that sense.
We've talked a little bit about interest rates and now it's particularly important as rates are
going up quite fast and one could say that a firm's vote is really it's incredible credit
underwriting which we've talked a lot about and it's only getting better now as they moved into
some different architecture with the transformer based architecture and it's access to capital
markets. So I want to spend a good amount of time just talking about what maybe lease understood
and most important particularly for this environment where the money actually is coming from to
service some of the loan portfolio what happens when interest move particularly upwards you could
intuitively say and maybe this is reductive that like they're borrow money to lend money and if
interest rates are going up that's presumably quite bad but maybe just levels that is there on
the capital market side of things and interest rates. The key principle to think about on the
funding side of the business is a firm is trying to build out a diversified range of funding
sources with lots of redundancy so they have different investor types banks insurers and other
institutions funding these loans securitized non securitized on balance sheet off balance sheet
static revolving fixed and floating rates the list goes on a firm is in the process of getting
a banking license they will also have consumer deposits as a piece of the funding mix and the idea
is that if you have the broad group of funding sources you're never reliant on any individual
piece if for whatever reason the private credit market has issues or the banking ecosystem
has issues or insurance companies are having issues, unless the whole system dries up,
a firm has built a very sophisticated capital markets engine to ensure it's got this
diversified funding base with plenty of redundancy. So the outcome of this diversified funding
strategy is about 50% of loans are off balance sheet in forward flow facilities and static ABS
facilities and then the other 50% is on balance sheet in warehouses and revolving ABS
facilities and you can imagine the warehouse is typically where a lot of the redundancy is
because you fund the loans by the warehouse and then think about where you want to move them
subsequently. But it's not a case of your sudden building up lots of loans on balance sheet
and then three quarters later sell a big chunk. The split between on balance sheet and off balance
sheet and the splits between the different funding sources is very consistent and constantly managed.
The key risk you have on the funding side of the business is more in the short term
and this goes to the 2022-2023 scenario. But a firm when it writes the loan to the consumer
and the consumer accepts the loan, the interest rate is fixed. So if the average loan term is
11 or 12 months, the interest rate is fixed over that period of time. A small portion of the
funding base is floating and so if the Fed lifts rates very quickly in serious magnitude,
you have this short term gap where you're not earning any more interest on that pool of loans
that's kind of amortizing and you've got to wait for the new loans at the higher interest rate
that you're charging to kind of flow through the book. Because the book turns so quickly,
I think I mentioned within a quarter 50% of the loan book would be on the higher interest rate
and within two quarters 75% would be on the higher interest rate. So it's one to two quarter
air pocket. That's really what we saw in 2022-2023. Because that book turns quite quickly,
rates have to move very quickly and very sharply to sort of have a material impact. So for example,
in the most recent reporting, I think the business said if rates rose by 100 basis points,
it would have caught a $90 million impact to the PNL and this is a business doing
$2.5 billion a gross profit this financial year. I think the bigger issue is if rates go from
0 to 5% and you have a 500 basis point increase, the net causes a big issue. 50 to 100 basis points
over the course of many months or quarters doesn't have as much of an impact. What's also interesting,
the mechanism is slightly different to a credit card. Let's say a firm was offering 12-month
loans on a $500 catch at a 15% interest rate and then the Fed lifts rates and now of sudden the
firm has to charge a 25% interest rate for the new loans it's writing. That actually chops out
a bunch of the loans they were otherwise writing at that lower interest rate. There are a certain
pool of consumers that turn up and a firm says that's good credit and good underwriting to offer
someone a $500 loan at a 15% interest rate but it's not good credit and we don't think it's
worth the risk to offer that same person a $500 loan at a 25% interest rate. The bigger issue in
these air pockets is actually growth slows materially because a firm just stops writing loans to
a portion of their user base that they were previously and because the interest rate being charged
to the consumer on the loans outstanding doesn't change you don't necessarily see a huge blowout
in credit losses. Credit losses did rise in 2022 but typically it's because there's a whole bunch
of other debt that consumers have that's variable rate and so they sort of get squeezed elsewhere
in the credit ecosystem. It's a combination of growth and margins and it's one or two quarters
of impact and that's only in those moments where 2022 was the largest and fastest rising interest
rates in 40 years or something the average durations of interest rates shouldn't have a material
impact on the business. When we think about these credit businesses it's not like a credit card
portfolio where you have a whole bunch of people sitting on a revolving balance paying the
minimums every month with balances that are compounding on variable rates so that when interest rates
rise they were paying 15% on their revolving balance announced 25% and so all of a sudden you have
this huge washout of credit losses. A firm the mechanism that it impacts the P&L and the business
is different and we think healthier and lower risk than what you would see in these credit card
businesses which is why and we can talk about valuation. The network effects alone make the business
more like an American Express than a capital one or a synchrony but also just how the credit
hits the P&L and what happens in these downturns also makes a firm a better business than the capital
ones and the synchronies. Now the fair argument is that obviously Amix has a very affluent customer
base a firm is called the average American. Arguably there's some sort of trade off there between
different customer base but operating in a faster growth part of payments in the sense that
we've talked about B&PL taking share of e-commerce which is taking share of retail and so you've
got this big tailwind behind you relative to Amix which is that more traditional card network.
So we've covered now the economics the modes underwriting models the team the funding the mechanisms
behind it and I want to talk about like where it goes from here management has been pretty
aggressive and has laid out a plan to roughly doubling the business to 100 billion in GMV maybe
just layout where the different levers are to get there where you feel the most conviction and maybe
the most skeptical. If I start at the highest level of the 10 and then we can drilling to the next
few years the stats are somewhat overwhelming in the US alone is about $1.3 trillion of credit card
balances outstanding. Thus a firm's total loan book on balance sheet and off balance sheet of
about $20 billion. A firm is a spec relative to the US credit card ecosystem even if you look at
GMV where a firm processed $50 billion if you added up these Amasta card dynamics as credit card
volumes it's about $13 trillion each year so a firm is still tiny relative to the overall
opportunity not suggesting it's going to ever be as big as visa card master card or amics
but there's still a lot of room to grow even if we were to just pick capital one capital one
processes over 15 times a firm's GMV each year so a firm is large in the sense it processes $50
billion of GMV and is integrated with some of the biggest merchants in America but there's still a
very long way to go and I think when you speak to Max and when you hear Max on podcasts and earnings
calls you get that sense that they are still very early and he is very ambitious about where he wants
to take this business these sort of medium term milestones they set themselves that these investor
forums every few years are the stepping stones along the way it's not a final endpoint where investors
should assume the business hits the wall at a hundred billion of GMV and never grows from
their or grows at industry card volume from there so if we're then to drill into that medium term
framework as I mentioned they delivered they have a junior end but they delivered about 50 billion
of GMV to June of this year they're targeting a hundred billion greater than 25% and your growth
on that path so it works out they'll get there within a few years in theory and when they
communicate to the market they are very explicit about what is in that guidance and what is not in
that guidance and so what is in that growth target is the core US business plus the card plus
international edge which is their white label offering for the US banks and agentic commerce sits
on top of that so if those two products were to be successful we would expect that 100 billion
of GMV to actually end up being higher so if we focus on very quickly running through those three
pillars core card international we've talked about the core e-commerce is still taking share of
US retail at a touch over 20% share BNPL can still triple it share of US e-commerce if you look at
benchmarks elsewhere in the world and a firm is about 50% market share of BNPL and expanding so
you've kind of got the triple tailwind in that core business the added context is only 75 of the
top 250 US merchants actually use a firm will have a firm integrated today so that core business
should continue growing very nicely through the future the second big lever is the card product
again this isn't a product that's being advertised widely with very high cax like a lot of other
card products that are out there it's purely for the consumers that are already coming through
that core customer acquisition funnel and it allows consumers to pay now pay later or pay now
and decide later and spend in store and with online merchants without a direct a firm integration
it's already called 20% of users and GMV growing very very quickly and has been hugely successful
and delivers great unit economics to a firm at roughly the same rates as the overall
broader business potentially actually a little bit higher there is the obvious downside from card
is you're not getting the product level data
from the merchant integrations.
What's interesting is that hasn't seen to have hurt
underwriting outcomes.
What a firm would say is it just makes personalizing
offers a lot harder.
So when you're integrated with a merchant,
you're getting all this really rich data
from what you've clicked on, what you added to the basket,
what you took out of the basket all the way through.
You can imagine all the data points.
And so ultimately, what offers you're showing
can be personalized not only to the user
and their kind of history of free payment
and the offers they've selected,
but also the types of things in the basket.
So that's the card.
The third piece, and this is more nascent
and the company would suggest is a smaller driver
of growth is the international piece.
There's a range of perspectives on international.
You can imagine, we've just mentioned that BNPL
is already reasonably saturated in a lot of overseas markets.
When you think about Europe or places like Australia
and New Zealand and recognition where it's due,
Clana has a much stronger international business
with a very large merchant and consumer base
and they've built a great payments network
in this international region.
But what's interesting is a firm is kind of getting pooled
into these international markets
by its existing US merchants.
Whether that's Shopify or Costco,
some of their largest partners,
I think see the value of the broader suite
of credit products and want to bring them into places
like Canada, the UK and Australia.
The international business in and of itself
is interesting as just a driver of growth
in and of its own right.
But it's actually in our mind, strategically very important
to have to continue winning businesses
with US merchants.
There are examples of merchants with global footprints
and I'll pick on an Airbnb or eBay
that actually went with Clana globally
because they just wanted one button
to hit a global customer base.
And today a firm can't really do that.
Over time, as a firm opens in more regions,
we think that head to head on Clana for some of those merchants
actually gets stronger so that there's no reason
why anyone shouldn't go with a firm
because you can imagine, at the end of the day,
if you're a US-only merchant,
a firm, the network effect is basically subject
to the economics not being wildly different.
You generally prefer to pick the platform with the most users
because it's going to result in the most transactions.
The same is true globally.
So if you're a global business,
it's hard not to pick Clana today
because there's so many regions
where they have a large customer base
and they're going to result in more transactions.
Over time, we think that'll change
but that's why the international business
is important to build.
Even though I think some investors would be skeptical
that that market is saturated
and maybe there's no point going after those markets.
Those three buckets are what's in the actual
greater than 25% growth, 100 billion of GMV.
The business was then very deliberate
and specific that a firm and agentic commerce
were incremental products to that growth.
And so Edge is the white label for regional banks
and then agentic commerce will involve a myriad of things
from personalized offers through the direct integrations
with personal agents as well as AI more broadly
through the business.
- When you speak to skeptics of a firm,
what are they most worried about?
Is it mostly just around the concentration risk
which seems to have been mitigated to some extent
even when you lose a player like Walmart
and maybe they had high volume
but it wasn't super profitable.
So it didn't make such an impact to the business.
But in general, I think the numbers are pretty concentrated
across the top five and then even Amazon
being like the number one which is over 20% of the business.
How much of it is it just around concentration risk?
Obviously, interest rates have an impact too
but we covered that maybe just hit on concentration risk
and any other significant risks to the business.
- We're not strictly bank investors
where more found a lead growth investors.
When we speak to our network,
the number one thing people worry about
is that they're just not comfortable with credit businesses
that is just too hard, requires too much work
not in their circle of competence.
The issue is not so much a firm specific
as it is just where they play.
I think there's also a lot of misconceptions.
We speak to a lot of investors that still say,
oh, they're just lending to subprime customers
that can't otherwise get credit cards.
It's a hyper competitive industry.
What's the competitive advantage?
And what's interesting is it was very similar
with Afterpay in Australia.
The investor community was generally very dismissive
of Afterpay when it was listed here
because again, their personal experience,
our personal experience is very different
to the types of customers that use a firm
where typically not sitting on revolving credit card balances
and where typically optimizing for points
and travel and airport lounge access.
And so the counter position of a firm
versus a credit card isn't obvious to us
in the same way it is obvious to the average American
who actually just wants to get a great offer
and not end up trapped in a credit card debt spiral.
The pushback is actually normally
based on some of those aspects.
The concentration piece we've talked about,
it can be offset.
It obviously hurts the customer acquisition flywheel
if an Amazon or a Shopify were to turn no doubt.
There are very long-term agreements in place
with both of those companies.
You can imagine Max and Toby,
I understand they're reasonably close.
There's reasons why those partnerships
have been very successful for all the players.
So it would surprise us if those relationships were to end
but it obviously is a risk.
We've talked about the capital market side
and interest rates.
You just see it in the stock price very clearly.
Anytime there's a Wall Street Journal article
that private credit are gating funds
and potentially imploding the stock is down.
I think it's one of those businesses
where when things are going well,
you get a lot of growth investors involved,
when things are going not so well
or the bank guys turn up.
And so there's this constant tension of,
should it trade on 10 times PE?
Should it trade on 20 times PE?
The growth investors haven't necessarily done a whole lot
of work to get really comfortable with the credit.
And so anytime there's a risk, they're straight out.
But similarly, the bank guys don't necessarily value
a founder-led, tech-native business,
those aspects of the culture and the organization,
and the same way the growth guys do.
So in the same way, people were arguing for many years
these amazes on a retailer or a tech business.
I think people today argue is a firm
of lender or a tech business.
And the answer is both.
And it's important to understand both aspects of the business.
There's all the games of how quickly
to consensus estimates come down and all those sorts of things,
but really during a really, really bad,
interest rate hike cycle.
It was one quarter where you would have sort of looked
at each other of, is this business about to implode?
And then the next quarter, it got better
and by the following quarter, you were sort of back.
So I think when you look through the history
and study how the business self-healed through that process,
I think you can get comfort on the credit.
Not to say the share price won't get hurt
if there's major interest rate hikes.
But it's not an existential risk.
I think the way some people would otherwise think of it.
I hope people can appreciate the resiliency of this company
and of Max and of the team, because as we talked about,
it could have died so many different times.
And yet it's still here and growing very fast
with a leadership physician, particularly in the US,
and with plans to expand globally.
I often like to close with a lesson
for founders building a company today.
And I think we've kind of covered that today with HVF,
do things that are hard, valuable, and fun.
That's kind of Max's way.
And so maybe the last question can be for investors.
What's the lesson from studying and investing in the firm?
- We love these businesses that are
tech native, that are operating in what I call non-tech industries,
when they can merge across section of the talent.
So in a firm's case, they have serious underwriting talent,
but they've also got serious engineering talent.
And so you sort of merge all the best things
about a tech company with all of the complexity
of the real world operating business.
And that gives you a competitive advantage
that can't be built by Claude Code, frankly.
And we could run through a list of businesses
that we think fit in this category,
but a firm is clearly one of them.
The biggest businesses in the world,
whether that be Google, Amazon, Apple, Shopify,
have absolutely no interest in extending credit
to their customers, they outsource it.
It's hard and requires a lot of expertise.
And they have core businesses to run.
And so a firm has been able to build its competitive advantage
by marrying its tech talent and its underwriting talent.
And that gives it a competitive advantage previously,
before AI became a huge factor,
and we think a competitive advantage in this new environment.
- Awesome, please, I was thinking through time.
- Awesome, thanks for having me.
- To find more episodes of Breakdowns,
ranging from Costco to Visa to Moderna,
or to sign up for me.
for a weekly summary, check out JoinColossus.com.
That's J-O-I-N-C-O-L-O-S-S-S-U-S.com.
Podcast Summary
Key Points:
Max Levchin, founder of Affirm, has a unique background shaped by adversity, technical expertise, and a deep commitment to solving hard financial problems.
Affirm operates as a payment network with strong network effects, similar to American Express, rather than a traditional lender, enabling rapid growth and customer adoption.
The company uses AI-powered, transaction-by-transaction underwriting to offer personalized, fixed-term loans with no late fees or compounding interest, improving consumer outcomes.
Affirm’s revenue comes primarily from interest on long-term loans, generating a 4–6% gross margin—higher than other BNPL models—and benefiting from strong unit economics.
Affirm’s network effects drive continuous growth, with over 50 billion GMV and 30% annual growth, while maintaining high customer retention and usage frequency.
Despite early market challenges, Affirm has maintained financial resilience and disciplined management, with flat headcount and stock-based compensation for over five years.
The business has a strong competitive edge over rivals like Clarna in offering longer-term, higher-ticket loans with lower loss rates and better underwriting outcomes.
Affirm’s integration with major merchants and its innovation lab drive product evolution, including the firm card and merchant-funded zero-interest loans, reinforcing its long-term value.
Summary:
Affirm, a buy-now-pay-later platform founded by Max Levchin, is redefining financial services by addressing core weaknesses in traditional credit systems. Levchin’s background—shaped by hardship and a passion for technical problem-solving—fuels a business culture focused on solving hard financial problems, not just easy ones. Affirm operates as a vertically integrated payment network, not a lender, leveraging network effects to grow rapidly, processing over $50 billion in GMV at 30% annual growth.
Unlike traditional credit cards, its loans are transaction-specific, with fixed interest rates, no late fees, and repayment plans that go to zero, resulting in better consumer outcomes and lower delinquency. The business uses advanced AI underwriting models that analyze real-time transaction data to personalize lending, improving risk assessment and profitability. Revenue primarily comes from interest on long-term loans, yielding a 4–6% gross margin—stronger than other BNPL models.
Network effects accelerate growth: more merchants adopt the platform, increasing access and consumer usage, while existing customers use the service seven times per year on average. Despite early volatility and market skepticism, Affirm has weathered downturns through disciplined operations, flat headcount, and strong retention. Its competitive edge lies in offering longer-term, higher-value loans with superior underwriting, while its merchant-funded zero-interest offers and firm card provide strategic advantages.
The business continues to innovate through a dedicated innovation lab, driving new products and partnerships. With a market cap of $25 billion and a stable, resilient business model, Affirm is positioned for long-term growth and value creation in the evolving e-commerce and payments landscape.
FAQs
Affirm operates as a payment network and lending platform, offering personalized, transaction-by-transaction loans with no late fees, compounding interest, or hidden terms. Unlike credit cards, which often involve revolving balances and high interest rates, Affirm's loans are fixed in interest and repayment, and are designed to be fully paid off by the end of the term.
Affirm underwrites every transaction individually using AI-driven models that adjust to the consumer’s purchase, economy, and behavior. This transaction-level approach results in better underwriting outcomes, lower delinquency rates, and more accurate risk assessment compared to traditional credit cards that rely on general credit limits and revolving balances.
Affirm earns revenue from merchant discount rates (MDRs) on transactions and interest income on loans. Interest-bearing loans generate higher gross margins (4–6% of GMV) compared to Pay in X or 0% loans (1–3% of GMV), making the longer-term loans more profitable and a key driver of overall profitability.
Affirm benefits from strong network effects similar to American Express: as more merchants integrate its checkout button, more consumers see and use it, increasing both customer acquisition and transaction frequency. This creates a self-reinforcing flywheel where growth in one area fuels growth in the other.
Affirm holds about 50% market share in the U.S. Buy Now, Pay Later (BNPL) market and is growing at over 30% annually, outpacing competitors and expanding its merchant integrations across major platforms like Amazon and Shopify.
Affirm has a deeply technical culture rooted in engineering and AI, with Max Levchin, a former PayPal CTO, leading product innovation. The company uses AI in underwriting and product development, and its leadership is tightly aligned with long-term growth, with flat headcount and stock-based compensation for years.
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