Good day and welcome to the upstart second quarter 2023 earnings call. Today's conference is being recorded. At this time, I would like to turn the conference over to Jason Schmidt, vice president of investor relations. Please go ahead.
Good afternoon and thank you for joining us on today's conference call to discuss upstart second quarter 2023 financial results. With us on today's call are Dave Gerard, upstarts chief executive officer and Sanjay Datta, our chief financial officer.
Before we begin, I want to remind you that shortly after the market closed today, upstart issued a press release announcing its second quarter 2023 financial results and published and investor relations presentation. Both are available on our investor relations website, IR dot upstart dot com.
During the call, we will make four looking statements, such as guidance for the third quarter 2023 relating to our business and our plans to expand our platform in the future. These statements are based on our current expectations and information available as of today and are subject to a variety of risks, uncertainties and assumptions. Actual results may differ materially as a result of various risk factors that have been described in our filings with the SEC. As a result, we caution you against placing undue reliance on these four looking statements. We assume no obligation to update any four looking statements as a result of new information or future events, except as required by law.
In addition, during today's call, unless otherwise stated, references to our results are provided as non gap financial measures and are reconciled against our gap results, which can be found in the earnings release and supplemental tables.
To ensure that we can address as many analyst questions as possible during the call, we request that you please limit yourself to one initial question and one follow up.
Later this quarter, upstart will be participating in the Goldman Sachs, CommuniCobia Plus Technology Conference, September 7, and the Piper Sandler Growth Frontiers Conference, September 12.
Now I'd like to turn it over to Dave Girard, CEO of upstart. Good afternoon, everyone. Thank you for joining us on our earnings call covering our second quarter, 2023 results. I'm Dave Girard, co-founder and CEO of upstart.
I told you last quarter that I was hopeful Q1 was a transitional one for upstart, and I continue to believe that's the case. I'm pleased we delivered quarter on quarter growth in Q2 for the first time in more than a year. And more importantly, we achieved record high contribution margin in positive cash flow, a result of our efforts over the past year to improve efficiency and operating leverage in our business. This is despite an environment where banks continue to be super cautious about lending. Interest rates are as high as they've been in decades, and capital markets remain challenged.
A close look at our financials in Q2 suggests that upstart has the opportunity to grow quickly and profitably when we return to a normalized economy. I'm also pleased to see clear signs that inflation is ebbing. Despite a continued strong labor market, our lens on inflation is different from that of others. From our point of view, wage growth in excess of goods inflation is a new and positive development, particularly for the less affluent segments of the U.S. that we tend to serve. The market is increasingly optimistic that the Fed can achieve their 2% inflation target without a serious recession. While the recession remains a possibility, our view is as likely to be a shallow, white-collar recession, one less likely to result in significant unemployment for less affluent Americans. And unlike 18 months ago, the Fed now has readily available tools to handle a significant slowing of the economy. They can lower rates to spur growth once again.
We continue to be confident that our core personal loan risk models are properly calibrated and have been so since November of 2022. Thus, we expect these recent vintages to deliver at or above target returns. Funding markets remain cautious and risk-averse. Banks and credit unions are generally focused on deposits on liquidity, while capital markets are beginning to show signs of normalization. We added another committed capital partner in July, and are in conversations with several more interested parties. We also completed a securitization after the close of Q2 with significantly tighter spreads than our prior deal earlier in the year. Meanwhile, we continue to manage upstart cautiously but optimistically in a funding-constrained environment. Every week, I remind the upstart team to focus maniacally on improving every aspect of our business, strengthening our company for a time when the markets will inevitably return to center.
As I said to you last quarter, I focused our team's energy on improving upstart in four key dimensions. First, best rates for all. The core thesis of upstart is that superior AI-enabled risk models will improve access to credit for all. And the company that can build superior risk models faster than anyone else stands to benefit from this dramatic transformation of the lending industry. In this light, I want to share an exciting breakthrough. Something we call parallel timing curve calibration. This is a technique aimed at accelerating the pace of model calibration and thus model development. The challenge with launching a new model and lending is that you have to wait many months to see how it performs in the real world. If you're originating three-year loans, then you need to originate some loans and then watch them perform for 36 months to have clear feedback on model calibration across the timing curve. But with parallel timing curve calibration, the new model can be used to re-underwrite all in-process loans from the past, generating new predictions for how they will perform in their remaining months. This is not a back test. The new model is used to predict how all outstanding loans in the platform will perform in coming months, not how they perform to date. In this way, within a few months, you can have a clear signal as to calibration across all months in the timing curve. This results in a dramatically faster calibration process for new models. From the point of view of our lending partners and credit investors, this is a giant win because it means we provide a tighter and faster feedback loop regarding model performance. We're very excited about its potential to extend our leadership in AI lending and are in the process of patenting this technique.
Next, more efficient borrowing and lending. Last quarter, we reached an all-time high of 88% of unsecured loans fully automated. That means instant and automated approval with no waiting, no documents to upload, and no phone calls. This matters a lot because even the most accurate loan pricing model is useless if applying for a loan is too time consuming or laborious. The notion of building an entirely software-driven credit origination process, one that can run 24-7 in a fully lights-out environment, has been with me since Upstart's founding and was inspired by my years at Google. Please bear with me as I share a short story. In 2003, I was interviewing for Roll at Google. The company was still private at the time, so the world knew little about the financial giants that was growing in Mountain View. At one point in the process, the extra-wembered crew just said that I couldn't interview that week at Google because the entire company was skiing at Lake Tahoe. I thought to myself, that's a great company. Then she said, but get this, the company is still making $7 or $8 million a day in revenue. I thought to myself, no, that's an amazing company. And the idea has stuck with me since. So how have we done? In 2016, we began to pursue the goal of fully automated loans, zero human involvement from rate requests through transfer of funds, approved in a matter of seconds, lights-out. By Q2 2017, 29% of our unsecured loans were fully automated. In Q2 2019, it was 64%. In Q2 2021, it was 69%. And in Q2 2023, this past quarter, it was 88%. Automation doesn't just allow us to scale originations faster than headcount. It creates a wow moment for consumers who have never experienced such a fast, effortless loan application process. Recently, we began to brand this fast track. Something we should probably have done years ago. This breakthrough experience is the signature of Upstart and the lenders that we served.
Next, more resilient. In addition to ongoing initiatives to strengthen the funding side of our marketplace, we continue to optimize our fixed costs. This increases the leverage in our business so that Upstart can thrive across future economic cycles. In Q2, we identified another $7 million in annual technical infrastructure costs that we can eliminate, bringing our total annual cost savings and tech expenses to nearly $17 million. We continue to hire very modestly and only in strategic situations. We also achieved a contribution margin of 67% are best ever by a long shot. This is a sure sign that our focus on efficiency is bearing fruit.
A principal driver of this record contribution margin was our efforts to build a stronger relationship with our existing customers. As a result of these efforts, 38% of our originations in Q2 came from repeat borrowers, also a record for us. And as a consequence of that, we also saw record low acquisition costs per loan in Q2.
Next, expanding our footprint. We continue to make progress in our newer products and are excited to see the progress we'll make through the rest of 2023. In the second quarter, we made significant strides in our auto retail lending business. We expanded our footprint from 39 rooftops with Upstart lending implemented last quarter to 61 rooftops today. We also added 12 additional states we now support, covering more than 65% of the US population. We launched new risk models for both our auto refinance and retail lending products, delivering as much accuracy improvement as we've seen in the last year from our personal loan models. We continue to improve our auto recovery performance, reducing delays in recovery cycle by 75%. On the feature side, we launched a new device agnostic in-store application that expands access to desktops, laptops, and tablet browsers. We also brought on our second and third lending partners for auto retail, no easy feat, giving the current market environment. We're also making rapid progress on our small dollar relief loans. These loans started just a few hundred dollars and are currently offered only to Upstart applicants who don't qualify for our mainstream personal loans. For this reason, they're entirely incremental to both our approval rates and our model training set. Our first vintage have now fully reached maturity and our model is now fully calibrated with observed losses in line with expectations for our most recent model version. In a first for Upstart, we began using cash flow data as part of the risk model for small dollar loans. This incremental data has led to increased approval rates and will eventually become available for all our loan products. Our fully automated rate in Q2 for small dollar loans was 90% an incredible achievement that demonstrates the power and impact of AI and lending. In Q3, we'll move beyond offering this product exclusively to those declined for personal loans and will finally enable direct consumer applications.
Last but not least, I'm happy to let you know that our home equity product is officially off the ground with a pilot program in the state of Colorado. We expect a fast follow with the state of Michigan and also hope to be in a handful of additional states by the end of Q3. This is the first Upstart product specifically designed for prime borrowers where a superior process enabled by automation is a richer source of differentiation than loan pricing itself. As a reminder, I mentioned last quarter that we're targeting online approval in less than 10 minutes in a closing process of less than five days for an Upstart powered HELOC, against an industry average closing time of more than a month.
To wrap up, we're not yet certain the economy is headed to a better place, so we continue to be cautious while investing for the long term. You're now beginning to see the benefits of our discipline approach. Regardless of the economy's direction in the coming months, I'm confident that we're building a better, stronger enterprise for the future. We're in the poll position to lead the industry to an AI enabled future, one that represents a giant leap forward for both borrowers and lenders. And we do this not because of fascination with AI, but because of what brought us here, the potential to dramatically improve access to credit for tens or even hundreds of millions of Americans.
There are many dimensions along which you can weigh our efforts to make Upstart stronger, speed of model development, strength of unit economics, low fixed costs, demonstrable leverage in our business, improved funding supply, and growing product diversity.
But the dimension that gives me confidence more than any of these is talent density at both the executive and individual contributor level. For those excited about AI and passionate about its potential to improve lives, we know of no better place than Upstart to build a career. And while we're hiring strategically and with extreme caution, our digital first approach is enabling us to hire top talent across the country. More than 90% of job candidates have accepted our offers in recent months, an incredible success rate.
While much of the world is debating how to return to the office full time, we're very happy with the results of our digital first approach. I will close with a huge thank you to all Upstarters, as well as the family and the friends that support them. We're on an incredible mission together and it wouldn't be possible without each of you. Thank you and now we'd like to turn it over to Sanjay, our Chief Financial Officer, to walk through our Q2 2023 financial results and guidance.
Sanjay? Thanks, Dave, and thanks to all of you for joining us today. We're pleased with our return to sequential growth and e-bit-out profitability this past quarter. As our work to unlock committed funding, rationalize our fixed cost base and expand margins begins to bear fruit. We accomplished these objectives despite ongoing macro challenges for our lending partners. And despite a US borrower whose recovery from the stimulus-driven effects of 2021 and 2022 has yet to fully materialize. Our best measure of borrower delinquency trends, the Upstart Macro Index, has tread water over the past few months, and in fact even seen a more recent seasonal increase versus earlier 20 to 1.3 levels, as we came off of the favorable tax refund seasonality that ran through April.
Despite a continuing recovery in the disposable income stemming from the ever-strengthening labor market, any incremental earnings over the past quarter have been directed almost entirely towards higher consumption, which has continued to increase in lockstep. And consumer balance sheets have not benefited from incremental savings as they had earlier in the year. Despite these latest dynamics, we believe our underwriting models remain well calibrated to this environment. And we are expecting our vintages since late 2022 to deliver or exceed their targets.
On the funding side of the ecosystem, thanks remain conservative in managing the asset side of their balance sheets, generally seeking to rationalize loan positions and conserve cash in aggregate. The ongoing supply of loans on offer in the secondary markets by sellers anxious for liquidity contributes to a challenging market dynamic, with loan books being sold at bargain prices and creating no shortage of buying opportunities for selective investors. Our view is that it will take some time for the market to work its way through this surpluses cheap available yield. Despite this, we continue to pursue a number of promising discussions with prospective funding partners, aimed at bringing more committed capital to the platform, and believe that we will be well positioned once the loan market returns to a more traditional state of pricing equilibrium.
With these items as context, here are some financial highlights from the second quarter of 2023. Revenue from fees was $144 million in Q2, comfortably above our guided expectation of $130 million, aided by a beneficial mix shift towards institutional funding, as well as ongoing take-rate optimization. Net interest income was negative $8 million, largely owing to higher than expected discount rates and unrealized fair value adjustments on some existing assets, as well as the impact of rising borrower charge-offs, particularly in our legacy R&D portfolio. They came together, that revenue for Q2 came in at $136 million, slightly above guidance and representing a 40% contraction year over year.
The volume of loan transactions across our platform in Q2 was approximately 109,000 loans, up roughly 30% sequentially and representing over 43,000 new borrowers. Average loan size of $11,000 was up 4% versus the same period last year, but down sequentially due to growth in small dollar loans.
Our contribution margin, a non-gap metric which we define as revenue from fees minus variable costs, borrower acquisition, verification and servicing, as a percentage of revenue from fees, a minute 67% in Q2, up 20% points from 47% last year, and 7% points above our guided expectation for the quarter. Continued investment in loan processing automation and fraud models have led to a new high in fully automated rates at 87%, bringing down loan onboarding costs and improving the conversion efficiency of our marketing dollars. Higher numbers of repeat borrowers have similarly improved our overall cost per acquisition, and a mixed shift towards institutional funding has benefited our take rates. Taken together, our contribution margins are stronger than they have ever been.
Operating expenses were $169 million in Q2, down 35% year over year, and 28% sequentially, as workforce restructuring initiatives announced in Q1 are now translating into reduced operating burn. In addition, as they have alluded to, we have done a significant amount of work to improve the efficiency and decrease the overall expense of our technical infrastructure, which represents a large portion of our fixed cost base. Declines in other categories, such as sales and marketing and consumer-customer operations, were largely in line with the decline in the loan volumes that drive them. Altogether, Q2 gap net loss was $28.2 million, and adjusted EBITDA was positive $11 million, both comfortably ahead of guidance. Adjusted earnings per share was $0.6 based on a diluted weighted average share count of $91.0 million.
We ended the quarter with loans on our balance sheet of $838 million, down sequentially from $982 million to prior quarter. Of that amount, loans made for the purposes of R&D, principally within the auto segment, represented $493 million of the total. Just after quarter close, we completed a one-off $200 million ABS transaction funded entirely from our own balance sheet. As you may recall, we traditionally sponsor ABS transactions on behalf of our loan buyers, who are usually the principal economic agents and loan contributors to the transaction. In this case, we took the unusual step of funding a deal from the Q2 Vintages accumulated entirely on our own balance sheet. We did this both to reset the market understanding for how our more recent Vintages should be expected to perform, as well as to serve as a visible signal to the market of our confidence in the adjustments that have been made by our own underwriting models in adapting to the new environment.
Our corporate liquidity position at the end of Q2 remains strong, with $510 million of total cash on the balance sheet, and approximately $558 million in net loan equity at fair value. Looking ahead, while there remain good reasons to be optimistic about the general longer-term direction of the US consumer, in the short term, we remain circumspect about the timing of the recovery of borrower delinquency trends and the recovering health of the funding markets more broadly. In particular, until we see a definitive inflection and reversal in the trajectory of UMI, we will continue to err on the side of being very conservative in our assessment and pricing of borrowers.
With this context in mind, for Q3 of 2023, we expect total revenues of approximately $140 million, consisting of revenue from fees of $150 million and net interest income of approximately negative $10 million. Contribution margin of approximately 65%, net income of approximately $38 million, adjusted net income of approximately negative $2 million, adjusted EBITDA of approximately $5 million, and a deluded weighted average share count of approximately 84.5 million shares.
Notwithstanding the promising direction this past quarter, there is still much work to be done to restore our business to the scale and growth that we aspire to. We have made encouraging recent strides in execution, operational discipline, technological innovation, and deal making. And while we await emergence from the combined jetwash of the funding macro and the borrower delinquency trends that are running their course, we will continue to push for further progress in all of these areas. When we are finally clear of the environmental turmoil around us, we are convinced that our business will be as formidable as ever.
Thanks to all of the teams at Upstart who continue to execute ahead of expectation. This has obviously not been an easy past few quarters, but I am confident that we are pointed in the right direction and that we have the right people in place to seize the once in a generation opportunity that remains before us.
Or as we like to say internally, we are under the maple tree. With that, Dave and I are happy to open the call to any questions. Operator? Thank you. If you would like to ask a question, please signal by pressing star 1 on your telephone keypad. If you are using a speakerphone, please make sure your mute function is turned off to allow the signal to reach our equipment. Again, if you would like to ask a question, please press star 1.
We will take our first question from Simon Klinch with Atlantic equities. Please go ahead. Hi guys, thanks for taking my question. I really interested in, I guess, what levers you. or perhaps how you respond when you start to see the UMI flat or flat nor improve. What are the levers that you would be able to pull? And how should we think there for about the speed at which you can start to get a recovery in your conversion rates and your general loan growth and your market share gains as a result of that?
Thanks, Simon. This is Dave. Basically, we are watching UMI trends and effectively maintaining what we hope to be a buffer between the assumptions that are in a new loan model or in the loans that are being produced in any particular time to the trend in UMI. So as we will hopefully see over time, UMI trending back down, at some point, the underlying assumptions in the models will stick with that. And again, maintaining. always aiming to maintain a buffer, but it should trend down. So UMI, as you see it, really is the output of what's going on out there in the economy. And we always want to stay ahead of it. And the best thing we can really do is make sure UMI is as accurate and as recent as possible. That's why we're continuing to innovate on it. But it will be a good indication of when the assumptions that will go into the next loans that are being originated.
Okay, I understand. And just as a follow-up then, I was wondering maybe Sanjay could talk through the slide on the long-term funding commitments and you'll share the risk and just make sure we understand sort of what's going on in that particular situation, for example. Yeah, hey, Simon. This is Sanjay. Happy to do it. Yeah. So we have a new slide in our materials that's meant to sort of pull together the punchline or essentially what we have at risk as part of our committed capital partnerships. They're a little bit hard to pull together in the financials directly because the contracts are a little bit different and they're all accounted for a little bit differently. But I guess at a headline level as part of those deals, we have invested or co-invested today on the order of $40 million. So that I guess you can think of as the maximum exposure we have that $40 million over time will be worth as little as zero, or as much as around $80 million, $83 million, I guess, depending on, you know, the time and extent to which these loans over or underperform. Our best current estimate, given the trends, is that that $40 million, we believe is on track to be worth about $52 million. Just a marginal overperformance there. But that's something that we will obviously forecast and interact with you guys over time.
Okay. Thanks. We will take our next question from Lance Jesserone with BTIG. Please go ahead. Hey, thanks for taking my question, guys. First one's just around, you know, kind of the governor on your growth right now, which is that 36% APR, any commentary or color around how many you kind of have to turn back right now because they're, you know, the risk model is turning above 36%. And, you know, how should we kind of think about that going forward in the coincides of where you see, you know, fed funds going.
Hey, Lance. Let's see. So I guess that that 36% APR cap with the current levels of UMI is a significant constraint on our business. In fact, I think as we stand today, it's probably the bigger constraint on growth, you know, on our platform. It's very punitive from the perspective of our approval rates, which are quite low right now.
How to think about this evolving going forward. Well, the 36% APR cap will not change that that's something that is sacred to us as you am I declines. And so, as Simon said in his question, as, as our observed the observation of UMI declines over time because presumably the macro economy coming back into equilibrium. We will accordingly reduce the forward assumptions being fed to the model. And that will essentially reflect lower loss estimates over time. And that will pull. And those rates were currently excluded from our credit box. They'll pull them back into the approval universe. So that's the mechanism by which we would expect to grow as loss rates in the economy subsided in the UMI comes back down.
And then in terms of July data, I know there's been some alternative data sources out there, but anything you can kind of frame around July data and where it's coming and how do you kind of see that in terms of a quarter or in terms of a monthly run rate through August and September. You're asking about July data then? Yeah, yeah. I don't we're not in a really really in a position to comment at all on July numbers. Hopefully we'll have a good report for you when we when we talk about two three. Got it. Thanks.
We will take our next question from Ramsey Ella fall with Barclays. Please go ahead. Hi, thanks. This is John coffee on for Ramsey. I was wondering, Sanjay, if you could tell me a little bit more about the loan balances you have on the balance sheet. I know some came off in Q two, I think from some of your new partners. Clearly those got built up a little bit again. Could you just maybe talk briefly about how much to think about the cadence of those loans in the balance sheet for the remainder of the year and if that like billion dollar mark is still sort of like maybe sort of an informal high water mark that you won't go beyond or have you rethought that a little bit.
Hey, John. I guess a specific comment, a general comment, the comments specific to Q two would be. Yeah, it is true that while the net loan balance from Q and Q two went down. We sort of went down farther and then built it back up. One of the things we were doing very deliberately was to build up some very, very fresh collateral to be able to put into an ABS deal. And that ABS deal, as I said in my remarks happened after the end of the quarter. So those loans sort of stood on our balance sheet at the end of the quarter and shortly after we put them into an ABS deal to be done usual for us to run an ABS deal off of our own balance sheet, as I said, but there's a couple of important reasons for why we wanted to do it. We wanted to put fresh collateral into the securitization reporting so that people could see how the models of change and how they, you know, how they might expect freshly freshly originated loans to perform. So that's maybe one dynamic that's specific to the quarter. More generally, I think our construct is not changed. You know, we're comfortable going up to a number around a billion or so in loan assets. And, you know, that's the number that leaves us with still, I think, a comfortable amount of cash to continue running the business and add some safety stock. And, you know, within that within that parameter will sort of flex up and down as we, as we believe, benefits the business. All right. Thanks, Ajay.
We will take our next question from Rob Wildhack with autonomous research. Please go ahead. Hi guys. Just another question about the committed capital co-investment. I do appreciate the detail and the slides there. How are changes to that reflected in the income statement and does that mean that there's a plus 11.5 million impact in the second quarter from the markup over the 40.2 million.
Yeah, here Rob. So the short answer is no that that impact is not in the P and L. I wish you were that simple. And the other thing is we've done a couple of different deals and contractually they'll have their nuances.
I think the result of that is that they're all being accounted for in slightly different ways. Some of it is showing up in the balance sheet as a beneficial interest. Some of it is showing up on the balance sheet under a restricted assets. Some of it is being fair valued. Some of it is being carried at cost. So I think the difficulty of trying to pull all those different accounting treatments together and create a clear picture is the reason why we're just going to put it on one slide for you. But you know the short answer to your ultimate question is no it's not really hitting the P and L in a way where fair values being, you know, recognized and that interesting combined.
Okay, thanks.
And then of the two billion longer-term funding commitment you announced in May, how much of that was funded in the second quarter? I mean, I would say approximately, you sort of remove the back book component that was a component of that original deal roughly a quarter.
Okay, so one quarter in excess of the 352 that you sold.
Got that, Rob? No, I think he dropped for me quickly. Oh, sorry. I just said that that's correct. That's correct. The state you made beyond the basketball sale. It was about a quarter of the remainder.
Great. Thanks. Sorry about that.
We will take our next question from James Fawcett with Morgan Stanley. Please go ahead.
Thank you very much. I'm just hoping to get a little bit of clarification really quickly here. And maybe I missed it in the guide you're looking for around a minus 10 million. That is interesting. Com in the third quarter. Is that being driven by loans on the balance sheet or the way that funding commitments work through the P and L just trying to make sure I understand that mechanism.
Yeah, James. Yeah, I would say a major factor. In that number is the fact that by and large are a balance sheet now, particularly after the ABS deal we completed which where we cleared out most of our recent sort of core personal and the remaining balances are R and D and a lot of it is very seasoned. And some of those older vintages of say how long you know how long from a year and a half ago. Their charge-offs are starting to to to grow both because they were originated at a time where our models were still, you know, sort of in calibration and as well they were originated in an environment that was, you know, and has rapidly deteriorated. So on some of the you can think of this partly as some of the cost of doing R and D. We've got a book of R and D loans now and and the charge-offs are elevated.
Okay, great.
And then, you know, I guess just as related to demand and originations. Like, how are you thinking about the impact from from higher take rate. And, and, you know, how should we think about how those could move and how overall origination should trend at least on a sequential basis through the rest this year and into 24.
Thanks.
Thank you.
For sure. Our rates are kind of as high as they've ever been I believe. And that part of that is a function of you, you, am I being super high part of it is the return demanded by the market is much higher, of course, related to fed rates. And also our take rate is high and all three of those contribute to the rates being high.
We would anticipate those things kind of coming off together. So, you know, as you see you and my trend down and maybe at some point interest rates will trend down as well. But also our take rate is probably higher than we would see it being in a kind of normalized scenario. So all three of those very high driving price for high. And for sure the reason, you know, I mean, the counter to that is that the market for, you know, the loan demand is very strong. And for that reason, that's why you're seeing, you know, very low, and so that's kind of the place where we are today prices for credit are super high demand remains super high. And that sort of nets out to where we are right now.
Okay.
Thank you.
We will take our next question from Reggie Smith with JP Morgan. Please go ahead.
Hey, thanks for taking my question guys. I guess kind of a follow up to the last question sounds like absolutely pricing is up right now. How do you guys think about, you know, managing adverse selection? Maybe talk a little bit about some of the sensitivity people may exhibit to price. I see that you're approval conversion rate is down. And I know there's two components to that. I would imagine approvals are down, but maybe you could talk a little bit about the acceptance of these offers as well. I'm just going to follow up.
Thank you.
Yeah, hey, Reggie. Sure. So let's see a little bit about adverse selection. Adverse selection tends to be an impact that is greater where the market or the segment is more competitive. So when there's a lot of sort of competing alternatives. And you try to raise your rates, you'll typically suffer from adverse selection. And of course, the, you know, when segments are less competed adverse selection is less of an effect. In our case, for, you know, a lot of the segments where we tend to learn a lot of volume. You know, even with higher rates, we tend to still have the best rates available. So even with higher take rates and higher loss assumptions. And we, we, in many instances, they're still significantly below what you might think it was the market clearing rate out there based on the, on the credit scores. And so in that instance, you know, there's not a lot of discernible adverse selection. If we were to try and raise our take rates significantly and very highly competed segments very prime borrowers, then it's something that we would be thinking about a lot more. And your second question, you read, it was about acceptance rates. Yeah, yeah. Yeah, it's very simple. It's a pretty classic sort of supply and demand construct, whereas we raise our rates and not only do our approval rates go down because of the 36% if you are cut off, but for those who remain approved, they'll be less likely to take a loan. At least what we've observed in our data is that people who don't take loans with us don't necessarily take them from a competing source. The majority of them just, you know, don't take the loan. So it causes people's demand to reduce. Sure. Got it. And one quick follow up on the, the co investment and I appreciate the disclosure. How should we think about that book? Are these loans coordinated to the rest of the structure? Is there certain ratio that you must hold relative to what you run through the committee facility? Did any, any color you could share there would be helpful for kind of modeling and thinking about that? Thank you.
Sure. Yeah. I mean, they do tend to sit in the equity part of the stacks, if you will, where, you know, loan transfer, you have sort of senior money and maybe mezzanine money and sort of equity or residual money. This tends to be at the equity side of the. Of the stack. There's no. There's not necessarily any sort of specific ratios. I think each time there is an investment made by one of our capital partners, we tend to have a co investment that you know, varies depending on the relationship. I just said, so I guess there's no way to kind of think about or know how large that could be like, do you have expectations over the next few quarters like public deck of the. None that we're talking about explicitly, but I guess I would say, like we considered this to be a part of the overall sort of risk budget of the business and we've talked about making sure we stay at or under a level of about a billion dollars in asset risk and, you know, this is part of that envelope. So, you know, I would anticipate over time. I think we're going to try to do with you guys is have a conversation about the overall sort of risk position and risk budget of the company and we'll certainly have some views on on how big we would ever want that to get. I understand. Thank you so much. We will take our next question from Juliano, with compass point, please go ahead. I'm going to add a new risk sharing disclosure. I would be curious about and I realize this period is probably somewhat different because you did a loan sale and you had some of the forward funding agreements funding in the quarter. I'm curious if you can provide a rough sense of how much, you know, principle that that that risk 40 million or so of, you know, up down risk sharing covers.
Hey Juliano, yeah, on the order of 800 million. Very helpful. Then, you know, the next thing I'd be curious about is just thinking about from a funding perspective, you have to build up the balance sheet and then just those some during 3Q of the ABS deal. I'm curious if you have a rough sense of how much balance sheet, so how much the volume was that flow through the balance sheet during the second quarter. So, thank you.
Yeah, I don't think we have that explicitly broken out, but I think that's something that you could probably deduce from the cash flow statement. We can point in the right direction when we chat later.
I think that's something that we can do with the funds as well. And the only question I think which is a little bit of a follow up. Obviously, you know, on the forward funding agreement side, you've mentioned, you know, in the past roughly 500 million per quarter, you mentioned some additional partners. I'd be curious if that number changes and obviously that will impact kind of where the risk sharing goes because you know, you may not have large loan sales going forward. Be curious just to get their perspective on that.
The amount of committed funding. Recorder expectation has grown. Yeah, that has changed last quarter that was mentioned was roughly 500 million per quarter. I'm curious if that has changed with the new funding agreements and based on the current arrangements in place. I would say not in a meaningful enough way to, you know, re announce it, if you will, as Dave mentioned, we did. We are working with a new partner in the capital world and they're now a contributing to our funding. But some of our constraints now are on the board side. And so I think, you know, given that we're probably in a similar ballpark. That's very helpful.
I appreciate the questions and I will jump back into you. Thank you. We will take our next question from David Sharf with JMP Securities. Please go ahead. Good afternoon and thanks for taking my questions. A lot of been asked. I guess these are kind of extensions of what's already been offered up. But Sunday, you know, just back to, I guess, the funding side and how it impacts kind of how you're thinking about originations. I know you've reiterated sort of the comfort level of that billion dollar ceiling on retained assets. But is there any sort of targeted roadmap in it? And then I, you know, for year end where you'd like to get the balance sheet contracted to? Should we be thinking about all these new funding partners as vehicles for stepped up asset sales in the second half? Just trying to get a sense how we ought to think about the on balance sheet exposure going out six months. And ultimately how much room you have to, you know, re accelerate volumes when the macro environment dictates it.
Hey, David. Sure. Let's see. I mean, a lot of it is dependent on the environment, of course. I mean, in an ideal world. What we love to do is reduce the balance sheet significantly. Apply it to R and D and begin to maybe apply more of it. Very surgically to these, you know, committed capital type co investments where we can unlock much larger. Cool, the third party capital. That's the ideal. Now we're in an environment where. Borrow demand is high funding markets are tight. And frankly, the collateral has. A lot of excess value. I think that their price for very high yields. And we can. Provide a lot of value to the business with one extra dollar origination. From the perspective that, you know, we obviously unlock a lot of take rate and then. Similarly, I think we've loaned their price for the deal. So it's a, it's a rational economic decision in the current environment. We love a normalized environment where there was, you know, plenty of third party capital. To satisfy the board demand. And we weren't in a position of using ours, but. You know, that will require essentially a normalization of the UMI and a normalization of the funding markets.
Got it. Sorry to say whether that will happen by the end of the year or not. I understood it. Maybe a follow up. You know, regarding the. The negative fair value marks, you know, again, this quarter. Were the downward revisions, are they mostly related to kind of discount rate prevailing rates? Is it more credit performance related or is it just based on. You know, with so many underperforming loans for sale out there, you know, just kind of prevailing market. Data points you're seeing and kind of related to that is it sort of evenly distributed. Those fair value decreases to personal loans and auto is a more concentrated in auto. Sure. Yeah.
So in Q two. There's two things of about equal magnitude. One was on the unrealized fair value side where some of our assets, notably some of the co-investments who made. In some of these deals, they were, you know, they had applied to them a much deeper discount rates and we are anticipating by the third party value.
So that was a sort of an unrealized value reduction. And the other was what I mentioned earlier, which is, you know, predont well, I mean, our R and D portfolio, which is predominant. You know, they're, they're getting to a level of charge off. Now that are bringing down the, the NII line.
I think if you're thinking about Q three and forward it's, it's predominantly the latter. It's, you know, old loans in the auto segment that were originated in a very different environment with a model that was still undergoing calibration. And so now that, you know, I think we've learned a lot in our calibration of the auto product and in terms of the scale and timing of that R and D effort.
I think there's some great learnings we've had and how we will apply differently to, you know, the next set of products that we're going to calibrate. But, you know, the auto book that we have, that's really at the root of the charge offs that are coming through the piano now.
Good afternoon. Thanks for taking my questions. First question, just kind of a big question, a picture question about your funding partners. You know, when we last spoke about the, the Castaway $2 billion, I think that was a proof of concept. So just wondering if you could talk about kind of the conversations they have to play even having from, from potential partners and kind of the mix between institutional investors versus the banks and other guys. And presumably, this capital investment side is very helpful in seeing that the assessed value is higher than the initial capital invested.
So presumably that implies that the performance is better than kind of the initial agreement. So just sort of wondering if you could talk about the appetite over your discussions with your partners. Thank you.
所以可以推测这意味着性能优于最初的协议。所以,我想知道您与合作伙伴讨论时的兴趣程度。谢谢。
Sure. Yeah. So a couple of questions in there. This is Sunday. I'll sort of talk through them. The first question really is about the nature of discussions around these sort of capital type deals. We've done a couple of deals now. They obviously have a different flavor, but they all sort of get to the same thing, which is it's a, it's a counterparty that has the wherewithal to spend through, you know, through a cycle and for some committed period of time.
And in exchange, we think there's some pretty attractive return profiles for them. And as we've shown, we're willing to put our skin in the game alongside. And I think that's, that is on the one hand a very attractive conversation right now. And I think there's a lot of people who are engaging. On the other hand, as I said, you know, it's a, it's a market with a lot of distraction in it right now. And so these conversations are making progress, but I think they are, you know, there's a lot of company.
And any investors selective right now has a lot of interesting options available. Some are, you know, ad hoc and one off others are more programmatic like the ones we're talking about with them. And so I think that it's proven to be an interesting and attractive option, but in a crowded field right now.
The, the split between institutional money and bank money. I would say, as we said in our remarks, some of our take rates benefit a disorder because there was a further shift towards institutional money. It's no secret that banks have challenges right now with liquidity. A lot of them, as we said, are looking to harvest cash. And so, you know, that that that was a, that was a sort of a mixed shift that happened in Q two, it wouldn't surprise me.
If, if that trend held or continue to be two, three. As for, as for the, the, the sort of the committed capital that we outlined in our investors slide. And how to think about it. I guess, first of all, we're saying that, you know, the, the, a large part of that. Initial investment of capital on our part wasn't just new originations.
As you recall, there was a backbook transaction. That was a part of the Catholic deal that you mentioned. And so there was a sort of a one time sort of retention of basis in that deal. That's part of the 40 million.
I would say most of the new originations that we. Produced under the guys are these committed capital deals in Q two are sort of on track and at par, if you will. The majority of the upside that we have between the 40 million that we invested in the 50 that was sort of, you know, assessing or forecasting is has to do with how the, the backbook itself was priced and how it was expected to perform and it is in fact, you know, beating those expectations.
So it's less, I would say, a reflection of new originations, more reflection of the, of the backbook, which is a pretty sizable portion of that 40 million. I guess the other implication is as you think about how that might grow in the future, it certainly won't grow at the close of 40 million dollars a quarter based on the agreements we have in place.
Okay, that's super helpful. A quick follow up. So the take rates presumably from the, the mix shift and funding, it wouldn't be unreasonable to assume that the take rate holds or even gets better going forward. Just wanted to confirm that. Thank you.
So in aggregate, you can see that we've sort of guided to relatively flat contribution margin next quarter, maybe marginally lower. And so I think you could probably infer from that that our take rates, we're assuming that they're going to be roughly stable to this quarter in the medium to longer term as Dave said we would expect with a normalizing economy for our take rates to slowly, to slowly subside.
And we have time for one more question and we will go to Simon Klinch with Atlanta equities. Please go ahead.
我们还有时间回答一个问题,接下来请Simon Klinch与亚特兰大股权交流。请提问。
Hi guys. Thanks for taking my second question. I'm actually wondering, maybe Dave, if you could talk a bit more about the parallel time and curve calibration because I guess I'm not the most tech savvy person and it sounded an awful lot like back testing to me, but you say it is. And so I'll be really interested in how it differs or why isn't it back testing and why you, I guess, what this really means in terms of your ability to capture the next wave of, well, actually managed through the next cycle that we see in much better fashion than you have done in the last couple of years.
Yeah, sure. Simon, I mean, it ultimately comes down to being able to calibrate a model as quickly as possible, which really just leaps you into developing the next model and so at the heart of it, it's about, you know, model development speed. But the way it generally works is, you know, a back test is when you, you know, you apply, you apply a new model to a bunch of old loans and see if it can accurately predict their outcome. I mean, that's sort of the way that models are developed in the first place is is something like a very large back test. It's essentially what AI training is. But in this case, what we're actually doing is not predicting the past, but predicting the future for loans that a different model had originated. And so what that really means is I said earlier, normally, you know, if you have 36 month loans, if you want to get accuracy, see, see that, you know, the performance of the model to the entire timing curve, you need to wait 36 months, of course. But if you have a diverse set of loans that were originated all sorts of times in the past several years, even in the first month, you're getting observations into all 36 months of the timing curve. And that's because you have re underwritten model loans that were originally done under a different model, but you're not predicting the past you're predicting what they'll do in the next month and the month after that. So that's what's really unique about it is, it is the true model, it is predicting, you know, future performance of loans, but it's predicting the future of loans that it didn't originally was not originally used to originate. And that's kind of the magic of it is it just gives you a lot more data about the performance of your loan specifically about the timing curve. Then you could get, which would normally again take much longer time. And that's the heart of it. It's, it's a very novel notion. It helps you have a very clear understanding of how your models performing very, very quickly. And, and not all goes toward towards speed.
Okay, great. Thanks. I'm going to go back to school on that one. Thank you. We might try to write something up on this to get for the for the nerds who really want to dig deep into how this something like this works. We will probably try to put something out there.
And that concludes today's question and answer session. I will turn the conference back to Dave Gerard for any additional or closing remarks.
今天的问题和答案环节到此结束。我将把会议交还给戴夫·杰拉德,以便进行其他或总结性的发言。
Heidi, thanks to everybody for joining us today. I'm confident that financial services and lending in particular will be one of the bright shining stars for AI in the coming years and in the coming decades. And we believe a show company better position to leave that transformation than upstart. Thanks for joining us today. We'll see you next time.