Good afternoon and thank you for joining us on today's conference call to discuss Upstart's Third Quarter 2020 financial results. With us on today's call are Dave Girard, Upstart's 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 Third Quarter 2020 financial results and published an investor relations presentation. Both are available on our investor relations website, IR.Upstart.com.
During the call, we will make four looking statements such as guidance for the fourth quarter of 2023 relating to our business and 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 and certain fees 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 a non-GAP financial measure and are reconciled to 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.
为了确保在通话过程中我们能够回答尽可能多的分析师问题,请您仅限制在一个初始问题和一个后续问题上。
Later this quarter, Upstart will be participating in the JMP Securities AI Forum November 29th and Wedbushes Disruptive Finance Virtual Conference December 1st.
Now I'd like to turn it over to Dave Gerard, CEO of Upstart.
现在我想将话题转给Upstart的首席执行官戴维·杰拉德(Dave Gerard)。
Good afternoon, everyone. Thank you for joining us on our earnings call covering our third quarter 2023 results. I'm Dave Gerard, co-founder and CEO of Upstart. While 2023 continues to be a difficult environment for consumer lending, I can state with confidence that we're making rapid progress in building the world's first and best AI lending platform. We do this with a focus on our mission and with an optimistic eye toward the transformation of an industry that is inevitable over the next decade and beyond.
In the third quarter, rates are at an all-time high in our marketplace, higher than we expected them to be reflecting both decades high interest rates and significantly elevated risk in the consumer economy. This is not a path we would have chosen and is obviously not constructed to our growth, but it reflects the reality of operating responsibly in this environment.
That said, we believe the economic trends continue in the right direction. Inflation is waning, interest rates presumably are peaking or have peaked. The jobs market remains strong. In many retailers are suggesting that consumer spending is softening. We continue to look for a return to normal for personal savings rates, which are highly correlated with risk and therefore with pricing on our platform.
From a financial perspective, we'd of course prefer to be growing quickly, but this is the time when it's wise to be operating in a conservative mode. In that light, we were e-bit.positive for the second straight quarter. Our contribution margins are still near record highs, and finally, we remain confident that our personal loan models are calibrated, and upstart powered credit is performing as expected right now. Not only are we financially secure, we also continue to invest in our AI platform.
Last quarter, we launched model 15.0, the latest version of our core personal loan underwriting model. This new version increased our model accuracy by about 15%. The largest improvement we've seen since we began tracking improvements in 2018 by about a factor of 1.5. Our previous most impactful model launch added personalized timing curves, what we've come to call our loan month model, for a giant accuracy improvement. This version improves the accuracy and precision of these personalized timing curves and also as personalized macro effects for the first time.
Last week, we also launched an upgraded version of the upstart macro index to account for seasonal patterns and repayment behaviors. Over the last decade, we've measured a distinct seasonal pattern with respect to loan repayments. The time from January through April represents the best seasonal loan performance in our experience, likely due to borrowers receiving extra cash in the form of state and federal tax refunds. Performance then generally degrades marginally each month until the early fall and then flattens or modestly improves through the end of the year. With a seasonally adjusted UMI, we'll offer more accurate lens into changes in the financial health of consumers and natural results in less volatility in loan pricing and approvals from month to month.
Our auto retail platform saw a huge boost recently as we partnered with a major OEM to implement our software in support of the launch of a new vehicle. Our technology powered their consumer reservation, deposit and customization system for this amazing new vehicle and was implemented quickly at more than 99% of all of their dealerships in the U.S. We see this as a harbinger to a future where consumers can choose exactly the car they want online and have it delivered directly to them with none of the friction and inconvenience many associated with the car buying experience. We're partnering with leaders in the industry to unlock this future.
Separately, we also expanded our roster of car dealerships that have gone live without start lending from 61 to 69. We added support for rooftops in Arkansas, Maryland and Virginia, expanding our reach to 70% of the U.S. population. We also signed agreements with two of the largest national non-prime auto lenders to help fund our auto lending solutions.
I'm also excited about the progress with our home equity product. As of today, the Upstart HELOC is available to homeowners in Colorado, Michigan, Washington and Utah and we expect to be live in Alabama, Kentucky, Tennessee and Washington, D.C. in the coming weeks. We've received encouraging feedback from applicants about how fast and easy the process is even at this nascent stage. A home equity product helps diversify our business in two critical ways. First, it's a very prime product. The annual loss rate is expected to be 1% or less. And second, it's a countercyclical to a refinance product because it's an effective way to tap equity in a home during a higher rate environment such as we have today. More than 90% of HELOCs are offered by banks and credit unions today. So it's a good fit with the Upstart platform and our partners. We'll bring some pricing advantage to the HELOC market over time. But there are two predominant advantages we expect to see sooner.
The first is speed and ease of access because the banks and credit unions that originate most HELOCs today take more than a month on average for the applicant to receive funds. We're aiming for less than five days. Second, our existing platform unlocks customer acquisition advantages that others can't match. Each month, more than 80,000 homeowners apply for a personal loan on Upstart. Some large fraction of them can and will be better served with a home equity product that offers a lower rate. After all, personal loans in HELOCs are just two different ways to solve the same customer need. By integrating our personal loan in HELOC application processes, which we expect to do before your end, will take a giant step toward becoming customer-centric rather than product-centric. The trade-offs between price, time, and effort will change over time and will help applicants choose the best product for them.
Now let's talk about the funding side. By the difficult lending environment, we've seen some great success with credit unions in the last couple of years. We attribute this to the fact that credit unions are extremely focused on delivering the products that their members want with an intense focus on the quality of experience. They also map well into current and future Upstart products with approximately $29 billion in personal loans, $266 billion in auto loans, and $82 billion in HELOCs funded by credit unions each year. So we're doubling down on credit unions by building features and capabilities that will strengthen our partnerships. In recent weeks and months, we upgraded the Upstart Performance Console to enhance visibility into originations and loan performance trends, improved connectivity to the core systems that power credit unions for naturals and operations, delivered features that make it easier for new members to join a credit union, and enhance their partner's ability to cross sell other products to existing members. We're also unlocking loan participation, where a loan originated by one credit union can be fractionalized and sold to a network of other credit unions. This significantly improves liquidity in the system and allows us to reach the long tail of small credit unions in an economic and constructive way.
On the capital market side, we continue to pursue a large number of committed funding partnerships in order to strengthen the reliability of loan funding on Upstart. With banks retrenching, paying more for deposits, and likely facing even more imposing capital requirements, we believe it's important to find alternative sources of funding, even for the primers of loans. We're in discussions about partnerships and structures that can enable at-scale funding across the entire credit spectrum and are excited to innovate in this space.
Lastly, we're investing significantly in servicing and collections, a vital part of our business where improvements can go directly to the bottom line. We recently launched a new version of our funded borrower dashboard, which is the experience of borrower's fee while in the process of repaying a loan. We also recently launched our first mobile application, which is initially focused on loan repayment.
Servicing in collections is clearly an area where AI can lead to better results than we believe the surface area upon which we can apply our AI expertise is broad. We've brought some incredible new talent to this aspect of our business and are excited about its potential.
To wrap up my remarks today, there are plenty of reasons to remain optimistic about upstart. First, even with our race at all time highs, we continue to grow fee revenue in investing our teams and core AI. Second, our models are learning and improving at an unprecedented pace, creating more separation from traditional approaches to lending. Third, the competition to serve mainstream American consumers with responsible lending products has waned considerably given the challenges in the markets in recent years. In fourth, we believe there's an inevitable period of normalization in both rates and risk levels return to long-term averages. That will provide upstart with a tailwind over a multi-year period in the future. We aren't waiting around for that period, but we'll certainly be ready when it arrives.
Speaking of the future, last week I had the privilege of participating in the US Senate's AI Insight Forum. It was a very productive bipartisan discussion on how to maximize the benefits of AI while mitigating risks. I focused my remarks on the lessons we've learned on our journey to use AI responsibly to help establish America as a global leader in AI-enabled lending. Hearing about the challenges other industries are facing deploying AI, reinforcing me that lending is one of the most compelling examples of how AI can clearly improve the lives of all Americans. I left more excited than ever about the opportunities ahead of us.
Sanjay? Thanks, Dave, and thanks to all of you for joining us today. We're coming off the quarter of mixed results in Q3, with narrow misses on revenue and margins against success nonetheless in maintaining positive adjusted EVITA and sequential growth and fee revenue. We continue to operate in a challenging and fluid macro environment.
Real consumption continues to hover at levels which we believe to be unsustainable. Incomes continue to lag consumption growth, despite the positive trend in labor participation, as the ongoing decline in government transfers, still receding from stimulus-era highs, offsets and wage gains from the return to work. The residual savings rates in the economy have consequently continued to languish at historically low levels.
This consumer reality continues to be reflected in elevated borrower default trends in an upstart macro index, now adjusted for seasonality, which indicates a stable level of loan defaults throughout most of this past year, albeit one which remains remarkably high. Poor ability to approve borrowers in this environment has remained the constraint on platform growth for most of the past quarter.
On the funding side of our business, banks continue to manage balance sheets conservatively and seek to unwind existing asset positions in secondary markets. The decline in aggregate deposit base, which started in mid-2022, has now thankfully eased, but anemic savings rates are so far hindering a rebound in liquidity. More responsibly, the institutional funding markets remain distracted with a bounty of trading opportunities coming from the banking sector.
On the other hand, significant amounts of institutional capital have been recently raised for upcoming deployment into credit, and the volume of discussion and negotiation aimed at setting up for 2024 remains encouraging. With these items as context, here are some financial highlights from the third quarter of 2023.
The revenue from fees was $147 million in Q3, slightly below our guidance of $150 million, and marginally up from $144 million last quarter. Our underwriting of primer, higher income borrowers has become more conservative over this past quarter as their loss rates accelerate and converge with the broader default trends across the borrower spectrum.
This has been a headwind for our volumes and few revenues over this past quarter versus our contemplated guidance. Net interest income was negative $12 million in Q3 owing to continued elevated charge-offs in our R&D portfolio as well as a one-time change in our charge-off process for loans and bankruptcy that had the effect of pulling some charges forward into Q3. Taken together, net revenue for Q3 came in at $135 million, slightly below guidance, and representing a 14% contraction year over year.
The volume of loan transactions across our platform in Q3 was approximately 114,000 loans, up roughly 5% sequentially, and representing over 70,000 new borrowers. Average loan size of $11,000 was up 9% versus the same period last year and sequentially flat. Our contribution margin, a non-gapped metric which we define as revenue from fees minus variable costs for borrower acquisition, verification, and servicing as a percentage of revenue from fees. Came in at 64% in Q3, up 11% points from 54% last year, but 1% point below our guidance for the quarter. We continued to benefit from high levels of loan processing automation and fraud modeling efficacy, achieving another new high in percentage of loans fully automated at 88%.
Operating expenses were $178 million in Q3, down 17% year over year, but up 5% sequentially, as increasing sales and marketing spend somewhat offset continued savings in engineering and product. All together, Q3 gap net loss was $40.3 million and adjusted EBITDA was positive $2.3 million, both roughly in line with guidance. Adjusted earnings per share was negative $0.5, based on a diluted weighted average share count of 84.4 million.
We ended the quarter with loans on a balance sheet of $776 million before the consolidation of securitized loans, down sequentially from $838 million to the prior quarter. Of that balance, loans made for the purposes of R&D principally auto loans sat at $447 million of the total. In addition to loans owned directly, we have consolidated an additional $196 million of loans that were sold from our balance sheet into an ABS transaction earlier this quarter, in which we retained a total net equity exposure of $43 million. As described in our prior earnings call, this transaction was somewhat unusual for us and designed to serve as a visible market reset, as well as a public vote of confidence in our current degree of model calibration.
Our corporate liquidity position at the end of Q3 remained strong, with $517 million of unrestricted cash on the balance sheet, and approximately $425 million in net loan equity at fair value. We continue to watch for signs of moderating consumption, improved savings rates, and reduced credit defaults in our economy as precursors to a broader normalization of consumer fiscal health. Until we see such signals, our operating assumption is that the macro environment will remain constant. And in such a scenario, our business growth will predominantly come from model upgrades and from improved underwriting accuracy, both of which we consider to be squarely in our set of core technical competencies, and ones in which we have demonstrated a strong historical record that's delivering growth over the years.
With this context in mind, for Q4 of 2023, we expect total revenues of approximately $135 million, consisting of revenue from fees of $150 million, and net interest income of approximately negative $15 million, contribution margin of approximately 62%, net income of approximately negative $48 million, adjusted net income of approximately negative $14 million, adjusted eBITDA of approximately zero, and a diluted weighted average share count of approximately 85.6 million shares.
That is all for our prepared remarks this afternoon. A shout out to all of the upstart teams who have kept their heads down and they're resolved strong over the course of the past year spent in an excruciating external environment. Our business today is a much stronger one in a number of very tangible ways than it was before the onset of this post stimulus hangover. And when the winds eventually settle, your work will be manifest and brightly shine.
With that, Dave and I are happy to open up the call to any questions. Operator? 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, press star 1 to ask a question.
We will take our first question from Simon Klinch with Redburn Atlantic. Please go ahead.
我们将从Redburn Atlantic的Simon Klinch提问第一个问题。请开始。
Hi, everyone. Thanks for taking my question. I was wondering if I could start with your comments around private credit and the encouraging pipeline for the 2020 for the long-term funding commitments. Could you just expand on that a little bit more in terms of, I guess, the scale of long-term funding that you would hope to get and how much, how we should think about that in terms of visibility and the potential growth beyond this year?
Yeah, hey, Simon. Sanjay here. Thanks for your question. Yeah, I guess the comment was maybe an allusion to the fact that in the ongoing discussions that we're having with the number of counterparties, obviously in the vein of securing a longer-term committee to sell capital, I think the volume and the depth of those discussions has been on a good trend. And it feels like there's a lot of counterparties that are exploring this asset class that are newer to the asset class that have freshly raised capital. It's probably related to what we all read about in the private credit space is becoming very big and very interested. What that means with respect to 2024 and future plans or maybe visibility we have into the capital base, nothing concrete yet, unfortunately. I think it's just an encouraging trend for us and it sort of reinforces our view of the direction we're taking.
Okay. Thanks, Matt. And just as a follow-up, I'm just turning to a very high level of automation at 88%, coupled with the very low conversion rates and the high contribution margins. I just want to, when we get to the stage where volumes start to recover, just for modern purpose, should we effectively assume that as conversion rates rise, that level of automation is not sustainable and so we would expect, I guess, the incremental costs to rise and push that contribution margin down? Is that the kind of mass that we should be thinking about?
Hi, Simon. This is Dave. I don't think so. There is an obvious relationship between the rest of the funnel and the sort of automation level. So it could go up and down because it just changes in who's applying and things like fraud rings that could drive the automation level down when our systems are kind of blocking fraud rings, things like that. So there are some reasons it can not always go up and to the right and, in fact, hazard or time. Having said that, I don't think it sort of has the relationship that you are suggesting.
Good afternoon and thanks for taking my questions as well. So following up the last round of questions, kind of similar vein, focusing on not so much funding, Sanjay, but I guess balance sheet retention. We've been obviously seeing a lot of non-prime lenders announce more kind of private capital partnerships lately, forward flow arrangements, the ABS markets. The ads are still wide, but they are tightening. Given all of that context, irrespective of the demand environment, is there a planned trajectory in mind that investors should think about in terms of effectively winding down the balance sheet exposure? We realize there are always going to be so-called testing loans, but when the residual from the securizations factored in, it looked like it was kind of flatish, quarter to quarter and kind of wondering when you would imagine the loans held for investment or sale to be substantially lower.
Yeah, David, thank you for the question. I guess at a headline level, nothing explicit to really share with respect to how we would view the balance sheet evolving over the course of the next year. We said in our remarks, the explicit constraint on growth right now is on the demand, is on the borrower's side and the approbability of the borrowers. And is that relaxes presumably over the course of time and as our platform rescales, obviously the goal is to use as much third party capital as is available in that rescaling. And that will be our goal, but it's, you know, I don't think we have any explicit guidance or predictions on how that will evolve over the coming quarters.
No, I understood. And maybe just to follow up on credit, you know, it looks like the fair value adjustment, it was about another negative kind of 40 million this quarter. I would imagine that that's typically made up of current period losses as well as any mark to market adjustment. And you kind of give us the breakdown of those and also as we think about sort of your guidance in Q4, for net interest income, I mean embedded in that is another kind of fair value adjustment and loss figure. You know, is it possible to give us kind of the charge off figures for the retained balances that was embedded in the Q3 number as well as the Q4 guide?
Yeah, I mean, I think I will just say that, well, first of all, the components of fair value are the actual charge offs being incurred by the loans and the balance sheet. Any unrealized fair value adjustments we're taking to those loans when we mark them up and down as the assumptions evaluation change and then any realized gains or losses we take on sales or securitizations. And I'll just say that by far the biggest component in Q3 are the charge offs themselves. And a lot of that is we said, you know, we've got about half a billion dollars of auto loans on our book that were, you know, made sort of in the vein of R&D almost a year and a half ago now back when we were in a very different environment and that half of our loan book is unsprightly taken on excess defaults right now. And I think all of those facts will remain true in Q4 as well. You know, the largest component of fair value in general is the actual charge offs being incurred by the loan book.
We will take our next question from Lance. Jeff, you run with BTIG. Please go ahead.
我们将请Lance发表下一个问题。Jeff,你在BTIG任职。请继续。
Thanks for taking my question, guys. You know, a lot of the pressure on the top line has been, you know, the rates coming in about 36 percent. As we come into an environment where, you know, it's more likely than not than we see, you know, rate cuts possibly next year, you know, combined with the UMI, it looks like your UMI is starting to kind of level off a little bit. How should we think about the interplay kind of between the two and how that impacts, you know, your conversion rate and how, you know, where the APRs are coming in below 36 percent. So, you know, is it just a linear like for like basis, whereas the rates start to come down and then the conversion rates start to go up? Or, you know, what are the contribution between that and the UMI and where rates are?
Hey, Lance, this is Dave. Great question. Generally speaking, both UMI and kind of underlying rates have both been, as we've said, moving up pretty much constantly for the last year and a half or even longer. And those, each time that happens to either of them, they are additive in effect to the price of a loan in the marketplace. And as you said, because we have a kind of a sharp line at 36 percent where we don't offer loans above that, that means people are being knocked out of the approval box and declined increasingly as those two go up. I would say generally speaking, the UMI effect is maybe, is larger than the interest effect, the interest rate effect. But they both push in the same direction. They both work to make prices higher. So to your point, you know, not to project where things will go, but assuming rates do come down and assuming over time UMI comes down, those will both certainly become tailwinds to us in essentially, you know, lower rates and improveability. And thus the funnel metrics that's driven by those. So it's very fair to say as those things go down, it would be what we would consider a normalization of our funnel and our overall pricing and everything else. And we certainly look forward to that.
And then, you know, pivoting a little bit to the HELOC product, I'd be interested to kind of hear the first reactions, essentially, you know, what is the approval, the funding time, what are the margins looking like for the product? How's consumer feedback been? Any color that you can give there would be great.
I would say generally, again, this is Dave, I would say it's probably too early to quote conversion rate, things of that nature. But still, in its early stage, we are still kind of, this is kind of the part of the product where we're very quickly making funnel improvements that can be leaps and bounds, but they're off of a very modest start. So, but I will say generally, the world expects HELOCs to take a long time and to be a very difficult process. That's just the backdrop of us coming into the market. So it's not, we can look really good and people can be very pleasantly surprised and we're still kind of saying, wow, we're just a shadow of where we're going to be in six months or a year with that product. And that's kind of where we are.
I think we have a process that's probably still better than you can get elsewhere on the market, maybe not everywhere, but what most people are experiencing when they go out looking for a HELOC. But at the same time, we're not even a shadow of the way where we're going to be down the road. So, but it's working, it's good. We're launching more states and, you know, each week or two of development is typically a big step forward for us because there's just so many obvious things that we're improving as we get started.
We will take our next question from Peter Christensen with Citi. Please go ahead.
我们将从花旗银行的彼得·克里斯滕森先生这里提问。请继续。
Thank you. Good evening and thanks for taking my question. I was just curious, you know, with long-sized being kind of flattish sequentially, just curious if we should think of average loan size as a function of available capital or capital supply or I guess more or less an issue of what's going on in consumer credit right now. And I guess as a follow-up, just curious if we should think of loan size impacting the contribution profit margin.
Hey, Pete. Sanjay, thanks for your question. So I think your question is about loan size, not loan volume, correct?
嘿,皮特。桑杰,谢谢你的问题。所以我认为你的问题是关于贷款规模,而不是贷款数量,对吗?
Correct, yes.
正确,是的。
Okay, yeah. Loan size, let's see. I mean, there's a couple of different impacts. I would say the biggest one is borrower mix. So, you know, all else equal the sort of more low-risk borrowers you could think of maybe in a traditional sense, the primary borrowers that you have will tend to be able to be approved for larger loan sizes and riskier borrowers in contrast lower loan sizes. So if you have, for example, a macro event such as we've had where there's a lot of people being nudged outside of the approval box at the riskier side and then, you know, consequently you have a primary borrower mixed in before you would expect to have larger loan size and vice versa. So borrower mix is one, you know, overall sort of risk and approval is another. All else equal as loss rates get higher in the macro, UMI gets higher, we would generally sort of on the margin be approving folks for smaller loans than in a very, you know, constructive environment. So I would say it's really down to mix. I wouldn't necessarily view loan size as a sort of inherent or fundamental metric for our business in any sort of significant way. Although it is true just answering your last question, it is true that all else equal a larger loan size will lead to a healthier contribution margin.
That's helpful. Thank you. And to, sorry, just as a quick follow up, I guess, how should we think about what borrowers are requesting versus what they're being approved for? Is there a meaningful difference there in this environment?
Yeah, I would say that, you know, relative terms, they've gone in very much in the opposite directions. I think the request for credit, the underlying fundamental demand for credit is as high as we've seen it in quite a while. And there's a lot of underlying demand from borrowers. Conversely, our ability to approve them is as limited as it's been in our company's history as a reflection of the UMI. And so you sort of have them at cross-purposes right now.
We will take our next question from James Hossett with Morgan Stanley. Please go ahead.
我们将会从摩根士丹利的詹姆斯·霍塞特那里提出下一个问题。请提问。
Great. Thanks. On to follow up on that last question, you know, clearly you guys had to tighten things up. And, you know, given the low savings rates is that demand for credit seems understandable. But what are you seeing in terms of actual conversion that is offers for loans that are actually converted into loans and what that origination looks like? Are you seeing any movement in that metric?
Hey, Jim. Yes, sir. You're asking about the conversion rates?
嘿,吉姆。是的,先生。您是在询问汇率转换吗?
Yeah.
是的。
Yeah. I think our metric finished quarter was around 8.5%. So meaning of all applicants who fill in an application and submit about 8.5 of them become funded loans.
I think at our peak, that number was closer to 24%. Got it.
我记得我们的最高点时,这个数字接近24%。明白了。
And can I just ask for a clarification? What about, um, that's of all applicants. What about of a approved loans that actually ultimately convert? Any sense what that looks like?
From loans that are approved and offered to funded loans, I believe, is on the order of about a third? About a third. Okay. That's helpful.
我相信,从批准和提供贷款到实际放款的比例大约是三分之一吧?大约三分之一。好的,这很有帮助。
And then I wanted to go back to the committed capital partners. Just any additional color that you can provide in terms of the things that they are looking for, whether it be specific metrics or catalysts to get them moving forward.
And if you feel like for them, maybe it's the same thing as we're talking about for borrowers that we kind of would like to, people would like to see underlying rates come down and then for your own metrics, you, oh, my, come down.
Just wondering if your potential committed capital partners are kind of waiting for a similar relief across the market or if there are other issues that they're watching.
我想知道你潜在的资本合作伙伴是否在等待市场出现类似的减轻压力,或者他们还关注其他的问题。
Sure, yeah, thanks James. Let's see. I'll certainly for counterparties that are, so would they newer to unsecured consumer credit, there's a lot of investigation of the asset class itself.
With respect to upstart, I don't think it's as much about whether rates are going to move or UMI is going to move. It's more about developing a confidence in their diligence that we are going to hit the targets that we claim, meaning when we predict loss estimates, they are accurate and so they care a lot about our accuracy rather than the absolute direction of rates in the economy right now.
And then there's clearly a macro component as well. All of these counterparties have credit committees and macro committees that take point of view on broad asset allocation and what the right timing is for these investments.
And so many of them are actively engaged with us in asking what we're seeing in our data with respect to macro trends and loss rates in the different segments of the borrower base.
So that's sort of, I think, at the highest level how they would think about the framework of investing with us and then with respect to specific deals.
所以,我想,这是他们在最高层次上对于与我们投资框架的思考方式,以及与具体交易有关的方面。
As we've said before, you could sort of broadly class counterparties into some that are interested in maybe earning a premium on the return right now and they're trying to understand where that can come from, certainly in an irate environment like today's that they can lock something in.
It can look very good down the road a year from now if the economy changes. And then there are others who are less interested in return premiums, they're interested in predictability and that's where, as we've said in the past, in some instance, because we have a very precise understanding of our model calibration.
Hi, thank you. This is John Cauffion for Ramsey. My first question is on slide 21 and you may have already answered this and I missed it. But when I look at the cadence of the auto-secured loans, it looks like that halved from Q2 of, well, last quarter to this quarter. I was wondering if you could just talk a little bit about the drivers there for what caused that.
Yeah, yeah. Thank you for the question. Yeah, auto-lending, I would say, is currently subject to all of the same sort of dynamics and forces as our core business, meaning rates themselves have risen and default trends look very similar to what they look like in the unsecured world.
Maybe there's some slight timing differences. But in terms of the relative level of increase in default rates, they very much mirror what we've seen in our core business.
也许存在一些微小的时间差异。但就违约率的相对增长水平而言,它们与我们核心业务所见的情况非常相似。
Just as our core business has had to retrench, as we've had to recalibrate our models, as a lot of people, as Dave described, have fallen above the 36% line and out of the approval box, a lot of those dynamics are very similar in auto as well.
With the difference that auto being a more nascent product for us, we've been calibrating a newer model in real time, whereas with personal lending, I think we've got a very sophisticated model that we're just kind of make sure that it stays calibrated to the macro environment.
So, this is a short answer. There's a lot of the things that have happened to our core business have also conspired to restrain auto-lending volumes a little bit as well.
所以,这是一个简短的回答。我们核心业务发生了许多事情,这些事情也有些限制了汽车贷款的规模增长。
All right, that's very helpful. And I just wouldn't follow up question. Last quarter, when you reported in August, you already had a month behind you, that being July.
So, given that you had your Q3 guide, what was the biggest surprise? Given that you still have two months to go, what was the factor that, you know, I know it wasn't a big miss of guidance, but there was a miss. What was the thing that you thought essentially was the thing you were wrong on, or was the biggest surprise there versus what you originally thought of?
Yeah, thanks. Great question. I'll highlight two things that we sort of alluded to in our remarks. One of them is, just with respect to the transaction volume, the transaction revenue, one of our model launches this quarter, allowed us to essentially measure the sort of macro impact along the lines of what we do for UMI, but at a borrower and a segment level, which is a greater level of granularity in terms of macro sensitivity in the borrower base. And what that model quickly understood is that what's happening in very recent months is that the, what you might think of as the primer or the more affluent borrowers are sort of starting to accelerate in their default trends, whereas the less affluent borrowers who were earlier affected last year in the sort of environment that we've been through are now much more stable. And it led us to be, I would say, a little bit more conservative in our approval of more affluent, sort of primer borrowers. And so that was one impact that I think versus what we had contemplated in our guidance was a bit of a delta. And the second one was just sort of a mechanical thing that showed up in net interesting come. But it had to do with essentially a process change around the timing with which we were charging off bankruptcy loans. We went from the resolution of the bankruptcy to essentially the announcement of the bankruptcy and it had the effect of pulling some charges forward from future quarters up into Q3. And that's something that we weren't expecting when we announced guidance.
Hi guys. I wanted to ask about the co-investment summary on slide 20. Next quarter, the 40 million co-investment was marked up, 11 million, so up 30. And now the 66 million is up, but it's only up to 7 million or like 11%. What were the drivers behind that markdown versus the second quarter?
Yeah, thanks, Rob. That was a great question. Yeah. What you're seeing there is maybe a bit of retrenching in how we're valuing that. So it's representative of what you might think of some headwinds over the past 90 days in how all of that system is performing. Look, one of the things that's on our minds that I think is relevant here is we're not necessarily adjusting this valuation for current seasonality. And it occurs to us we're in the worst seasonal part of credit right now. So credit, it is at its best from a seasonal standpoint in the sort of February to April standpoint, time frame, and it's sort of at its worst in the October, November timeframe. And so I think some of what's happening here is that like the seasonal headwinds, the credit performance are making this asset maybe look a little bit worse than it will in six months. And we haven't necessarily gone to the level of sophistication of adjusting for seasonality. So I think that's part of the story there. But some of it also may be durable and therefore what it would indicate is that stuff is performing marginally worse than it looked 90 days ago.
Okay, thanks. And then on the committed funding partners, those initial agreements, the ones in place now, I think they were described as $2 billion in funding for the next 12 months. So that was roughly spring 23 to spring 24. So of the existing agreements, could you remind us what's locked in for beyond spring 24 and for anything that's not, what's the process or arrangement for extending or renewing those agreements?
Sure. Yeah, thanks. I guess I would say we haven't necessarily given specific numbers beyond the spring. I do think there were some announcements out there in the public which alluded to some longer timeframes for some of those agreements. And so some of those we expect to continue. I think with the other ones, as we get towards the sort of one-year mark and depending on how happy the counterparties are and how happy we are and how well everything is performing, you might imagine that there will be discussions around renewal. So I think we'll be undertaking those probably in the near.
Okay, thanks. We will take our next question from John Hecht with Jeffries. Please go ahead.
好的,谢谢。我们将接受来自杰富瑞的约翰·赫克特的下一个问题。请开讲。
Afternoon guys. Thanks very much. So just, I think you did about 1.2 billion of grown originations and it looks like you cleared nearly a quarter of that through your on-balance sheet securitization. So further remaining 75-ish percent, I'm wondering, can you just let us know what was the characteristic? Were they kind of bank buyers that have been around for a while? Were they more credit funds? Were they more tied to the counterparties and the forward flow agreements that you just were talking about? How do we think about the mix of that disposition?
Sure, yeah. Thanks for the question. I mean, maybe just one clarification about the securitization. It was executed in Q3, but a lot of the loans that were sold into the securitization were originated in Q2. So it wasn't necessarily a component of Q3 origination. I think at a higher level, yeah, we sort of have these three channels, if you will, of funding.
One is the bank and credit union channel where they are typically doing the origination themselves as a lender. There is our sort of traditional forward flow channel, and now there's a newer channel of what you might think of as a committed capital. I think in rough terms, the forward flow and the bank channel numbers are somewhat comparable, and the channel by which we are providing loans into committed partnerships where we call in mess is slightly larger than the other two, but there's a pretty good balance across the three.
Okay. Thanks very much. No, I have. We will take our next question from Juliano Bellonia with Compass Point. Please go ahead. Just kind of going back to the committed capital investment disclosure that you have. I'm curious, you know, it may have come up early in the call, you know, roughly seeking what the balance is of loans that you have outstanding that you have that debt-convested structure attached to at this point.
Yes, thanks Juliano. I think that's disclosed in the few, I don't know the exact number on my fingertips right now. Last quarter, if you recall, the co-investment represented approximately 5% of the total, and I think that's probably still a relatively consistent ratio.
Very helpful. In this slide, there would be a similar brief question to have related to the revenue from fees. Is there any, do you have the numbers for the platform or for all fees versus the servicing income for the quarter and how that breaks down for the period? And the genesis of that is to kind of back into what the take rate was on originations.
Yes, Juliano. I think those numbers are also disclosed in the queue in one of the notes. And I don't have them on my fingertips again, but I think you will see something like, you know, transaction revenue is maybe 3 to 4x the servicing revenue. Transaction revenue is up about 7%. Servicing revenue is declining slightly as the outstanding balance in the platform declines. But if you want the specific numbers, there will be in one of the notes in the queue. We can point you to it offline if that's helpful.
That's helpful. I appreciate it. And then, you know, thinking about the kids, kind of where you are on the funding side, I realized this is a question you've been asked a few different ways at this point. But when you think about where you are, you know, from an operating perspective, you have to need more volume to get incremental margin and cover your fixed costs. You know, I'm curious, you know, how you're thinking about the cadence of, you know, how funding could come back or how you're, you know, preparing to manage the business, you know, for the foreseeable future. So if this environment persists for a number of quarters beyond, you know, 4Q.
Sure. Yeah. Let's see. Well, as I said, you know, in the remarks, I think there's a lot of, there's a lot of good conversations happening on the funding side that the platform constraint today on growth is on the borrower side and our inability to approve. But in anticipation of that eventually changing, and as we said, I want to one of the earlier questions, that could change because rates dropped. It could change because sort of default trends normalized and UMI drops. And in anticipation of that, we definitely want to have a few more agreements teed up and some partnerships ready to go at that time. But it isn't the gating, you know, item on platform growth currently.
So I appreciate the answers to questions and I will jump back into you.
所以我很感谢对问题的回答,我会回复你的。
Thank you. We will take our next question from Reggie Smith with JP Morgan. Please go ahead. Yeah, good evening. Thanks for taking the question. I was curious, you were talking earlier, I think a previous analyst had asked about approvals and sounds that make you suggest that roughly a third of the loans that are approved are ultimately funded. Can you tell us kind of how that has trended and it changed over time? And then the second part of the question. Do you ever approve borrowers for less than they request? And do people tend to take those loans if you do?
Thanks. Sure, thank you, Reggie. Let's see. The answer to the first question, well, the first question was what has happened to what we call acceptance rates, which is the instance where a loan is approved and an offer is made and what percentage of those are accepted by the borrower and those are currently at the 30% level. They've definitely trended down. I think they probably used to be in the 60s, a couple of years ago before the environment sort of became very challenging. And the intuition is obvious as rates have gotten very high, even though borrowers are getting approved under 36% in some instances, the rates that they are being approved for are quite high and their propensity to accept those rates is a lot lower than it was before.
And the second question had to do with a reminder of your second question, Reggie? Yes, I was curious if somebody comes in with a loan request and it's totally out of whack with their income or debt levels. Do you ever approve them to less or can you do things like that to improve acceptance rates and always your side below? It just doesn't make economic sense to do a loan. Any color there will be a loan.
That's a great question, Reggie, and we absolutely do that. There are many applicants who are asking for loan levels that we are not able to approve them for. What we can do is say, well, we can approve you for a lower amount and very often those are accepted instead. And so that is a component of our acceptance rates and it is a business practice we have. Do you find that those loans tend to perform as well as you would expect? What do they do? What insight could you glean from those types of transactions? They perform as expected on a risk-adjusted basis. Because we are approving them for a lower amount, that adjustment to the risk is commensurate with the risk that we perceive. And so they, at the end of the day, for investors, perform as expected just as full offers do compared to what we call these counter offers.
That makes sense. The last question for me, marketing, I saw was up sequentially. It had been, obviously, down a lot from the previous year. Anything to call out there on the marketing side, competition, advertising, what's driven that? Yeah, Reggie. I think the thing to call out is that we're at the point now where, as we are, as we said, a borrower constrained platform and as we regrow into prior volumes, all of that growth will be paid growth. So obviously, as we've contracted over the past 18 months, we've prioritized organic and unpaid volume, repeat volume, if you will. We've got a great benefit from that. But I think the incidence of repeat loans will start to subside just given the recent volumes on the platform. And as we sort of regrow into higher volumes, such as where we've been previously, you'll see higher incidence of paid growth versus unpaid growth. That will have the effect of bringing up the overall average acquisition cost.
That makes sense. Okay. Thank you. Thank you. There are no further questions at this time. Mr. Gerard, I will turn the conference back to you for any additional or closing remarks.
All right. Well, thanks all for joining us today. We continue to make strides in building the first and best AI lending platform in the market. There is not a company better positioned than upstart to lead this transformation of the international services industry. So thank you and we'll see you next time. This concludes today's call. Thank you for your participation. You may now disconnect.