🖤 Upstart Returns to the Black. FIS Trims Its Own Forecast. Toast Keeps Cooking.

0:00Right now, a local diner that's just, you know, using the right software to route its kitchen orders is actually a safer bet for investors than a massive multi-billion dollar global bank bank. It sounds completely backwards, but yeah, it's absolutely true. It is. And welcome to the deep dive. We are taking you into the war room today, really looking at the hidden architecture of the financial world. The stuff happening behind the scenes. Exactly. So if you follow sports, you know August is NFL roster cut season. Oh, yeah. The brutal part of the year. Right. It's that highly calculated window where like every single team trims the fat, making these brutal decisions to get their roster down to the final 53 players before week one.

0:46And Wall Street is currently running its own version of those roster cuts, aren't they? They totally are. They are evaluating the financial landscape to see which companies have earned their spot, you know, which ones are getting benched and which ones are quietly building dynasties. And we are focusing those evaluations on a very specific sector today. We're looking at the foundational plumbing of the economy. We are. We are pulling our insights from a recent dispatch by FinTechStacks, which just broke down the latest earnings reports of three radically different financial technology companies.

1:16We've got Upstart, FIS, and Toast. Three very different players. Totally different. But our mission today is not to just, like, read you a balance sheet or rattle off stock tickers. I mean, if you wanted that, you could just pull up a financial terminal yourself. Yeah, that would be incredibly boring. Super boring. Instead, we're going to look past the raw numbers to uncover what the distinct trajectories of these three companies really reveal about the actual on-the-ground reality of artificial intelligence. Plus, the very real, often painful struggles of corporate mega-mergers. Oh, those are always messy.

1:52Always. And finally, why the absolute most boring back-end software is suddenly like the most lucrative asset on the market. Okay, let's unpack this. We really need to unpack it because, you know, anyone can look up a quarterly earnings report and see if a line went up or down. Right. Green is good. Red is bad. Exactly. But reading the box score doesn't tell you the story of the game. We are going to explore the actual mechanics behind these numbers, specifically why the market reacted the way it did to each of these three companies. Because the market reaction is everything. Right. Because Wall Street's reaction tells a much deeper story about the widening gap between the hype and the reality in the tech sector right now.

2:31Yeah. And I want to start with a company that completely shattered the prevailing narrative and really earned its roster spot back after a period of, well, just intense skepticism. Upstart. Yes, Upstart. Yeah. For some context for you listening, Upstart is an AI lending platform based out of San Mateo. They were founded back in 2012. So they've been around a minute. Yeah, they're not brand new. Yeah. But the numbers they just posted for this quarter are massive. We are looking at revenue jumping 42 percent year over year. Wow. Yeah. To hit three hundred and sixty five million dollars net income more than doubled to sixteen point five million.

3:06And their total loan originations shot up 50 percent to four point two billion dollars. That top line growth is certainly aggressive. I mean, especially in a macroeconomic environment where lending has generally been cooling off. Right. Which makes it even crazier. But I have to play devil's advocate here, because if you rewind the tape just a couple of years, wasn't AI lending supposed to be like a pandemic era fad? That was definitely the prevailing theory for a while. Right. The source material actually compares Upstart to a football team that got benched for two seasons. During the low interest rate boom of 2021, everyone loved them.

3:45Money was cheap. Exactly. Then the economic wind shifted, defaults started creeping up, and the market just seemingly forgot about them. They wrote them off completely. But now they are suddenly back on the field throwing 40-yard touchdowns in the fourth quarter. So how does a company pivot from being written off as a zero interest rate phenomenon to posting 42 % revenue growth? What's fascinating here is a metric buried a bit deeper in their earnings report. It's not the revenue and it's actually not the loan volume either. Oh, what is it? It's the contribution profit. For Upstart, their contribution profit just had an all-time high of$193 million.

4:25And honestly, that is the number that completely changed Wall Street's mind. Break that down for us because contribution profit sounds like one of those accounting terms designed to put people to sleep. It really does sound dry. Right. Like, why is that the golden metric for an AI lender? Because it is the purest, cleanest proof we have that Upstart's core thesis actually works. OK, how so? Well, contribution profit essentially strips away all the corporate overhead. So take out the office leases, the marketing budgets, the executive salaries. Just ignore all of that. Right. Ignore it and look strictly at the unit economics.

5:00It answers the fundamental question, does Upstart's artificial intelligence actually make money on each individual loan it touches? Ah, so it measures the raw efficiency of the machine itself. Precisely. Because in the lending business, your entire survival depends on pricing risk accurately. Right. If you guess wrong, you lose money. Exactly. And traditional banks, they use FICO scores, which essentially just look at a borrower's past payment history. Which is pretty one-dimensional. It is. But Upstart's AI algorithm looks at hundreds of non-traditional variables. Things like education, employment history, even cost of living.

5:37To predict whether someone will default. Yes. And hitting a record$193 million in contribution profit proves that their AI isn't just, you know, a marketing buzzword to attract venture capital. It's an actual working thing. Right. It is a highly functioning mechanism that accurately prices risk and generates real profit on a per loan basis, even when the economy gets tougher. Which means they aren't just buying growth by handing out bad loans to anyone who asks. It is profitable, sustainable growth. Exactly. And that ties directly into the broader corporate strategy executed by their CEO, Paul Gu.

6:13He's had an interesting run lately. He really has. And when you look at his commentary for this quarter, he was remarkably disciplined. He highlighted that this massive growth was funded without issuing new equity. I want to pause on that because that is a crucial distinction. It's huge. Yeah, because in the tech world, a lot of companies achieve 50 % growth simply by printing more shares, selling them, and using that cash to just buy market share. Yeah, but doing that dilutes the value for existing shareholders. Exactly. You are essentially saying Upstart paid for this comeback themselves. They generated their own momentum.

6:48Furthermore, they successfully moved their secured products like auto loans, for example, toward profitability. Which has been historically tough for them. Very tough. And they saw a distinct reacceleration in their core personal loan business as well. All of this combined resulted in a return to GAAP profitability. And GAAP stands for Generally Accepted Accounting Principles, right? Exactly. It is the strictest, most standardized accounting measure we have to determine if a company is truly making money. No loopholes. No funny math. Right. And because they hit that mark, they confidently reiterated their full year guidance of roughly$1.4 billion in revenue.

7:28Yeah. And$294 million in adjusted EBITDA. And for those listening who might get lost in all the alphabet soup, adjusted EBITDA is essentially their core cash profit before dealing with taxes and weird accounting anomalies. Exactly. Just the cash they are generating. And the market clearly understood the assignment here because shares surged more than 15 percent on this news. The big takeaway is that Upstart didn't just beat their quarterly estimates. They proved that algorithmic underwriting can survive a full economic cycle. Yes, they proved the tech works. Right. They executed flawlessly on a single core competency.

8:05But, you know, what happens when a company tries to find that same profitability not by perfecting one piece of technology, but by buying up entirely different companies? Ooh, that brings us to the M &A strategy of FIS. And this is a fascinating contrast. Upstart found profitability through hyperfocus. FIS is trying to find it through massive corporate surgery. Corporate surgery is a good way to put it. And looking at the numbers, FIS technically won their quarter. I mean, adjusted earnings per share came in at$1.48. Which is solid. Yeah, it beat the Wall Street estimate of$1.47, and it's a solid jump from the$1.36 they posted a year ago.

8:47Definitely. On top of that, they showed a 29 % revenue growth. Now, it is important to note that this revenue jump was heavily aided by a massive$13.47 billion acquisition of global payments issuer solutions business earlier this year. And we have to remember, a$13 billion acquisition is a seismic event for any company. Oh, absolutely. It fundamentally alters the balance sheet overnight. Right. But I am looking at these numbers. A massive earnings beat, a 29 percent jump in revenue, a 13 billion dollar strategic acquisition right after they spun off WorldPay. Sounds great on paper. It does. So what does this all mean?

9:28Because it just doesn't square with the market reaction. Not at all. The market actively punished them. Their shares went sliding. What is Wall Street seeing that the raw earnings report is hiding? It comes down to a dynamic we can call winning the box score but losing the crowd. Okay. I like that phrasing. Yeah. You can point to the historical data, the quarter that just closed out in August, and say, look, we won. The revenue is up. Look at all this money we made. Right. But institutional investors are inherently forward-looking. They do not care about the money you just made. They care about the money you were going to make six months from now.

10:04Which makes sense. And the real headline for FIS, the one that actually triggered the sell-off, was their guidance cut. Wait, so they lowered their expectations for the rest of the year? They did. They lowered their full-year adjusted EPS guidance down to a range of$6.15 to$6.24. Oh, wow. And they also trimmed their total revenue guidance to a window between$13.63 and$13.70 billion. In the financial markets, when you beat the current quarter but simultaneously cut your forecast for the rest of the year, the market is going to heavily penalize you. Because it signals that whatever momentum you have right now is just a mirage.

10:46Exactly. It's temporary. So what is causing that? I mean, if they just bought a$13 billion revenue engine, why are they lowering their forecasts? The primary culprit is soft capital markets growth. We are seeing significantly slower sales cycles and delayed tech implementations across the entire banking sector. And that dynamic is pushing revenue that FIS thought they would recognize in Q3 or Q4 deep into future quarters. Let's dig into that phrase, delayed implementations. Because in a B2B context, what does a slow sales cycle actually look like? I imagine it's not just a bank manager forgetting to click update on a software package.

11:25Not at all. Think of it like trying to merge two massive metropolitan hospital systems. Well, that sounds like a nightmare. Right. You can buy a new hospital, sign the paperwork, and claim you now have twice as many beds. But if the new hospital's patient database cannot communicate with your existing patient database... The doctors literally cannot do their jobs. Exactly. And the reality of upgrading banking infrastructure is incredibly fragile like that. I bet. If a legacy bank wants to implement a new FIS software module, it requires months of testing, security audits, and massive data migration.

11:58Right. Because if one thing goes wrong... Transactions fail, money goes missing. So when macroeconomic conditions get tight, bank CFOs simply delay these projects. They just say, let's wait until next year to merge the databases. But wait, didn't FIS CEO Stephanie Farris explicitly point to continued bank investment in tech modernization and AI as a bright spot on the earnings call? She did. It sounds like she was trying to reassure investors that the banks still, you know, want to upgrade. She was absolutely trying to do that, but investors clearly didn't buy the reassurance. And this raises an important question about the reality of what the source material calls roster surgery.

12:37Going back to our NFL analogy. Exactly. Look at the sheer scale of the corporate maneuvering FIS has undertaken over the past two years. It's been chaotic. Right. They spend an astronomical amount of time, legal fees, and operational bandwidth spinning off their stake in world pay. Just getting rid of it. Yeah, and almost immediately after that, they turn around and pay over$13 billion for the issuer solutions business. Which means they are constantly in a state of operational whiplash. Exactly. And the guidance cut is a harsh reminder from the market that integrating that much M &A does not happen in a straight line.

13:14No, it's never seamless. Merging vastly different corporate cultures, forcing distinct ancient technology stacks to somehow talk to each other and aligning entirely different sales teams. It creates massive internal friction. Yeah, you might win the quarter on paper because you injected a newly acquired company's revenue into your ledger, but the operational friction slows down your future velocity. Exactly. The hangover from the merger is dragging down their core business. So Upstart wins by executing purely on their core AI engine. Yes. FIS stumbles because the physical bureaucratic reality of merging megacorporations is bogging them down.

13:55Perfect summary. Which brings us to our third company. FIS is suffering from these slow sales cycles and cautious bank executives. But our third company is operating in a space that notoriously has the thinnest margins and the highest failure rates of any industry. Yet they are acting like the economy is just booming. They are completely ignoring the macroeconomic headwinds. It's wild. We are talking about Toast, founded in Boston in 2011. And to say they are growing would be a massive understatement. Oh, absolutely. Gross payment volume, which is the total dollar amount of transactions processed through their systems, rose 22 percent year over year.

14:3422 percent. Yeah. To a staggering 60.7 billion dollars. Their subscription and fintech gross profit jumped 31 percent. Incredible numbers. Undiluted earnings per share hit 26 cents, which exactly doubles the 13 cents they reported in the same quarter last year. The financial metrics are incredibly strong. But honestly, their physical footprint expansion is what really stands out in this report. OK, they added roughly 9 ,500 net new restaurant locations in a single quarter. Just think about that scale. It's insane. That pushes their total active base up 22 percent year over year. And here's where it gets really interesting.

15:13Oh, if you look at the food industry from a consumer perspective, especially this past summer, the entire conversation is driven by flashy viral trends. Oh, totally. You open TikTok and it's all diner core aesthetics,$50 matcha lattes and highly visual front facing fats. The glamour and the marketing of the restaurant world. Exactly. But Toast represents the deeply unglamorous utilitarian reality of how an actual physical restaurant functions. It's the gritty stuff behind the scenes. Right. I look at Toast and I realize they have essentially become the plumbing and the electrical grid of the food service industry.

15:51That is a great way to describe them. They are completely invisible to the customer sitting at a booth at a local diner eating a burger, right? But they are absolutely essential to making sure the kitchen doesn't collapse into chaos and the staff actually gets paid at the end of the night. That invisible back-end layer is incredibly powerful, and it really explains why their revenue is so resilient. Toast has quietly maneuvered itself to become the default operating system for the restaurant industry. The default. Yeah, they aren't just processing credit cards anymore. They are running the kitchen routing, the employee payroll, the inventory management, and even the digital loyalty programs.

16:30Okay, walk me through how that actually translates to such massive profit margins for Toast. Because a restaurant operating on like a 3 % to 5 % profit margin doesn't have a lot of extra cash to just hand over to a software company? No, they don't have any buffer. So how does Toast extract value without bankrupting their own clients? By fundamentally changing the economics of a Friday night dinner rush. Okay, paint that picture for us. Imagine a packed restaurant before this kind of integrated software. A server writes down an order on a pad, walks it to the kitchen, and clips a physical paper ticket to a wheel.

17:05Classic. Right. But if that ticket falls off or the handwriting is illegible, a$40 steak gets cooked wrong. Oh, man. And the restaurant has to comp that meal, the customer is angry, and the server loses time. That one drop ticket represents a massive leak in a business with razor thin margins. The margins just evaporate. Exactly. But Toast's digital ecosystem eliminates that friction entirely. A server punches an order into a handheld device at the table. Boom, instant. The kitchen screen instantly populates it. The inventory software automatically deducts the ingredients and the payment is already pre-authorized.

17:43So they aren't just a convenience. They are actively plugging the holes where restaurants bleed money. If we connect this to the bigger picture, Toast isn't just surviving the restaurant industry's notorious margin squeeze. By making these chaotic environments vastly more efficient, Toast's software has become the literal mechanism allowing these restaurants to survive the squeeze themselves. Oh, wow. Which makes their product incredibly sticky. I mean, if you're a restaurant owner, you might cut back on marketing or you might change your menu to cheaper ingredients, but you are never going to rip out the software that is holding your entire operation together.

18:18The switching costs are simply too high. When your software is the central nervous system keeping your clients' doors open, your churn rate, meaning the number of customers canceling your service drops to near zero. It has to. And your adoption rate for new features climbs and your revenue becomes highly predictable. Because everyone is locked in. Right. They are not trying to predict whether espresso martinis or craft beers will be popular next month. They are the toll road for every single order, regardless of what the consumer wants. That is so smart. And that is exactly why Toast was able to confidently raise their full year 2026 guidance on the back of this quarter.

18:55It is just a brilliant strategic position. So looking at the full board of these roster cuts, we've watched Upstart earn its way back into the black by proving their AI underwriting can actually outperform traditional models and generate record contribution profit. A huge comeback. Huge. Yeah. Then we've seen FIS beat the quarter on paper, but effectively bench their own year because the excruciating reality of integrating massive mismatched corporate tech stacks is just dragging down their momentum. The M &A hangover is real. It is very real. And then we have Toast, completely dominating a traditionally slow August by being the invisible, indispensable plumbing for physical businesses.

19:38Three distinctly different companies navigating three very different market realities. And this is exactly why you, listening to this, should care about the mechanics behind these earnings reports, is that we hear the word fintech, and it is so easy to dismiss it. It sounds like just another buzzword. Right. It is easy to think fintech is just another budgeting app on your phone or some startup launching a neon colored debit card. But what we are really talking about is the hidden architecture of the entire economy. The stuff that actually makes things run. Exactly. Fintech is the invisible algorithmic code deciding whether or not you get approved for a mortgage or a personal loan.

20:14It is the complex, often broken mechanism dictating how massive global banks attempt to upgrade the technology securing your life savings. For better or for worse. Right. And it is the digital nervous system deciding whether your favorite neighborhood diner can actually afford to keep its doors open through the winter. It really is the infrastructure of everyday life. And, you know, looking at the juxtaposition of these three companies, there is a broader trend that I think is worth considering as we wrap up. If we look at how traditional massive banks are delaying their technology implementations, which is exactly what triggered the guidance cut for FIS, while at the exact same time, AI native companies like Upstart are achieving record unit profitability and back end platforms like Toast are becoming the literal survival mechanism for brick and mortar commerce.

21:04It really paints a picture. It does. And it raises a critical question about the future. Are we approaching a tipping point? A tipping point. Yeah. Are we entering an era where the invisible back-end software eventually becomes vastly more valuable and, frankly, vastly more powerful than the legacy banking institutions and the physical storefronts they were originally built to serve? Wow. When the plumbing becomes more valuable than the house itself, that is definitely a thought to chew on. Something to watch over the next few quarters, for sure. Definitely. Thank you so much for joining us on this deep dive.

21:37Keep looking past the headlines. Keep questioning how the mechanics actually work and keep exploring those hidden systems that power your world because the roster cuts are happening every single day. And now you know exactly what to look for.