Most of the AI-and-jobs conversation focuses on headcount. That narrative is real, but it’s only half the picture. The other half is happening inside corporate IT budgets, where companies are quietly building their own AI-powered tools to do what Microsoft, IBM, Oracle, and Salesforce used to do for them. It’s less visible than a layoff announcement, but the dollar figures involved are just as large, and in some cases larger.

Call it hiring AI as the new consultant. Instead of paying a vendor’s subscription fee or a systems integrator’s hourly rate, these companies are pointing internal engineering teams, aided by AI coding tools, at the enterprise software they already pay for and asking a simple question: could we build this ourselves, cheaper?

At a moment when every basis point of margin matters to investors, that question is being asked more often and answered “yes” more often than before. Here are four publicly traded companies doing exactly that.

Starbucks Builds AI to Cut $400M in Enterprise Software Costs

Starbucks (NASDAQ: SBUX) spends roughly $400 million a year on software, according to comments its CTO made to employees in an internal forum reviewed by Bloomberg. The company is now building AI-powered replacements for a Microsoft inventory-tracking system and an IBM maintenance-management platform, with internal rollouts possible by late 2027. It’s also been developing homegrown point-of-sale software to eventually replace Oracle Simphony.

The effort ties into a broader $2 billion turnaround plan, and the enterprise technology division is on pace to cut its own budget by about $30 million this fiscal year, roughly a third of that from software specifically.

Klarna Uses AI to Slash Costs, SEC Filings Show

Klarna (NYSE: KLAR) has been the most transparent of the group, disclosing AI-driven savings directly in its IPO filings. An internal AI tool that classifies and routes customer service conversations delivered about $4.9 million in savings over twelve months.

More broadly, the company says AI helped cut sales and marketing costs from $531 million in 2022 to $355 million by mid-2025, including a 75% drop in outside marketing-agency spend. Klarna also runs an internal AI knowledge assistant, called Kiki, and an AI tool that explains credit decisions to support agents, both aimed at reducing reliance on external systems and staff.

Shopify Makes AI Adoption a Hiring Requirement

Shopify’s (NASDAQ: SHOP) version of this shows up as policy, not a product announcement. CEO Tobi Lütke told employees in an internal memo that teams must prove AI can’t do a job before requesting new headcount or resources, calling AI use “a fundamental expectation.” The company built internal tools, including a proxy layer and dozens of connected AI agents, to make that mandate practical rather than aspirational.

The intent isn’t to replace a specific enterprise software vendor the way Starbucks is. It’s using AI to hold headcount and internal tooling spend flat while the business keeps growing, which shows up on the income statement the same way.

IBM Cuts HR Costs With AI, Then Quietly Rehires

IBM (NYSE: IBM) built an internal AI assistant called AskHR to automate routine human resources work: leave requests, payroll questions, and internal paperwork. The company says AskHR now handles about 94% of those interactions without human involvement, contributing to $3.5 billion in productivity savings in 2024 against a $2 billion target.

IBM cut roughly 8,000 HR-related jobs on the strength of that automation, then quietly rehired in some areas after gaps in service quality emerged. It’s a useful reminder that these tools cut costs, but not always as cleanly as the initial announcement suggests.

Does This Actually Move the Needle?

Two caveats are worth noting before you invest in this thesis. First, none of this shows up as its own line item in a 10-Q. Companies don’t break out “software costs” separately from wages, occupancy, or general corporate overhead, and new FASB rules requiring that kind of expense disaggregation don’t take effect for most large filers until fiscal years starting in 2027 or later. Numbers like Starbucks’ $400 million figure come from internal comments reported by journalists, not audited disclosures. Investors are taking management’s word for it.

Second, building this software isn’t free. Industry estimates suggest a mid-sized internal tool that once cost $300,000 and six months to build can now be done for roughly $30,000 to $50,000 in six to eight weeks, thanks to AI-assisted coding.

That’s a real cost reduction, but it’s not zero, and it comes with ongoing maintenance, security, and staffing obligations that don’t disappear once the tool ships. A 2026 survey from Retool found 35% of enterprise teams have already replaced at least one SaaS tool with something custom-built, so this isn’t unique to these four names. But industry-wide, it’s still a fraction of the roughly $674 billion companies spent on enterprise software as of a few years ago.

Why This Trend Is Bigger Than Layoffs

None of these four companies is going to swing its earnings per share on internally built software alone. But that’s exactly the point most of the job-loss coverage misses: this isn’t a one-time event, it’s a slow reallocation of spend away from software vendors and toward internal AI-assisted development, one contract renewal at a time.

For investors watching Microsoft, IBM, Oracle, and Salesforce, the more interesting question may not be who’s building AI products to sell, but which of their own customers are using AI to stop buying.

Per Simply Wall St, SBUX stock features a “narrative fair value” of $99.94. With the security closing at $100.65, the implication is that Starbucks is 1% overvalued. Further, the latest closing price is $103.87. If we apply the same logic, SBUX is nearly 4% overvalued.

It’s not difficult to be lured into this frame of thinking. Right now, SBUX stock commands a trailing-year price-earnings ratio of 78. About the same time last year, this metric stood at 33.32. Therefore, the inference is that SBUX has gotten ahead of the fundamentals.

Frankly, I’m no longer a fan of such rhetoric because I don’t know what getting ahead of the fundamentals means. If we think about this logically, there are many possible interpretations and they’re not interchangeable. The phrase could mean one of the following:

• Investors are assigning a higher probability to a successful turnaround,
• investors expect structurally higher long-term growth,
• investors believe Starbucks deserves a higher quality premium,
• investors are simply willing to pay more for cash-flow stability.

If we cut through the semantics, the argument is as follows: there exists a correct relationship between earnings and the SBUX stock price and today’s market price exceeds that relationship. That’s great but my question would be, where does this relationship come from? It can’t simply be that historically, the multiple was lower because that’s merely an observation. It doesn’t establish that the historical relationship is the correct one going forward.

Moreover, such an argument would imply that SBUX stock consumed more good news than is warranted, meaning that the security must give up some value to reach parity with fair value estimates. Unfortunately, we are yet to see an evidenced model that would justify such a claim.

Is Starbucks Overvalued? Possibly but No One Can Say for Certain

Getting back to the original inquiry, is Starbucks stock overvalued? By overvalued, if you mean that SBUX may eventually shed some basis points from its current level, yes, that’s very much a possibility. Over the past five years, the security has lost roughly 12% of value, meaning that it’s quite a choppy affair. Thus, it may mean revert negatively.

Still, the market will be the ultimate arbiter. Until it decides where SBUX stock should go, we’re all left in the dark. That said, I’m not sure if reading past financial statements offers a probabilistic look into the future. If that were the case, you’d expect historians to be expert forecasters of future geopolitical events or sports statisticians being able to call World Cup games.

What we do know is that, in the modern equities market, much of the trading is based on algorithms or rules-based protocols. As such, the price discovery process is likely not random but is responsive to imbalances of bullish or bearish pressures.

Take SBUX stock and its historical weekly candlestick chart. In the past 10 weeks, the security printed four up weeks, leading to an overall downward slope. This bear-leaning 4-6-D sequence has materialized 47 times on a rolling basis since January 2019. Of these occurrences, the median forward distribution over the next 10 weeks (assuming a starting price of $103.87) has been observed to land between $101 and $110, with probability density peaking near $105.80.

That might sound like an edge but consider what would happen if you simply bought Starbucks stock randomly and held it for a 10-week period. At the endpoint, we would expect a distribution between $102 and $108, with probability density peaking near $104.90. Depending on the specific risk-reward ratio, there’s likely not enough variance between the observed signal and the random baseline for SBUX stock to be worthwhile as a debit-side bullish trade.

So, I don’t actually disagree with the general concept that the popular barista is modestly overvalued. As a heavy entry to a long-term investment, I probably wouldn’t touch it at this hour. It’s not because SBUX stock has gotten ahead of the fundamentals; rather, the observed market mechanics of the aforementioned signal don’t justify an aggressively bullish position.

One Nuance to Consider for Starbucks Stock

Although the forward 10-week distribution of outcomes following the flashing of the 4-6-D sequence for SBUX stock doesn’t lead to great results, the trend isn’t orderly and linear. From the aforementioned sample, the median pathway has been observed to peak at week 5, resulting in an estimated price target of $107.

As such, I probably wouldn’t be comfortable with exceeding the implications of the 105/107 bull call spread expiring Aug. 7. Here, SBUX stock would need to rise through the second-leg strike to trigger the maximum payout of approximately 67%. Frankly, I’m not too hot on the relatively low payout. However, this is somewhat mitigated by the relatively low cost per spread, which comes out to $120.

Breakeven lands at $106.20, which is interesting because the market is assigning a probability of 42.2% that SBUX will reach this threshold. That’s largely calculated by the distance (in terms of standard deviations) the threshold is away from the current spot price, assuming a risk-neutral, log-normal distribution of outcomes.

Where my model comes into conflict with this Black-Scholes-derived calculation is that I don’t necessarily believe that all stock market returns are always log-normal in nature. Instead, I believe that the distribution of outcomes is influenced by the balance of bullish or bearish pressures within a given time period (which in turn may trigger rules-based responses).

Subsequently, I believe that the probability of profit (or the probability of breakeven) should be higher than 42.2%. How much more is a very difficult question to answer.

I do know that in week 5, the expected exceedance ratio (or the chance that SBUX stock rises above the starting price of $103.87) following the flashing of the 4-6-D signal is 61.7%. What would be the probability of SBUX reaching $107 at week 5? We don’t know precisely from the data because we don’t know how many times SBUX stock has equivalently reached the exact price of $107.

That said, the odds are no better than 61.7% and are likely somewhat below this figure, around 53% to 55%, if I had to guess. Even so, this estimate would be conspicuously better than 42.2%, making SBUX stock possibly intriguing for a short-term bullish trade.

Meanwhile, a different opportunity quietly developed elsewhere.

As investors focused on AI, several consumer stocks continued generating billions in revenue, strengthening operations, and rebuilding investor confidence while expectations drifted lower. That’s where I’m looking today.

Nike Is Reclaiming Ground

Few companies command the kind of global brand recognition Nike (NYSE: NKE) does. Professional athletes wear its products. Amateur athletes train in them. Consumers across every major market recognize the swoosh instantly. That kind of brand equity takes decades to build and billions of dollars to replicate.

No wonder why Nike generated $11.3 billion in revenue during its latest fiscal 2026 third quarter, including $11.0 billion from the Nike brand itself, while wholesale revenue reached $6.5 billion. Management spent the last several quarters reducing inventory, rebuilding wholesale relationships, and sharpening product execution after a period that tested investor patience.

The stock chart now shows those efforts beginning to gain traction.

Shares recently traded at $45.20, above the 20-day moving average of $44.54 and the 50-day moving average of $44.25 after spending months building a base in the low-$40 range. Trading volume remains elevated at roughly 14.35 million shares a day while the stock continues working toward its 200-day moving average of $59.23.

Revenue, inventory progress, and improving price action now point in the same direction. The share price still sits far below levels investors once considered normal for Nike, creating a setup not only where operational improvement carries the potential to matter far more than it would during periods of peak optimism, but also a buying opportunity for the bulls.

Starbucks Continues To Benefit From Scale

Starbucks (NASDAQ: SBUX) built one of the most recognizable consumer brands in the world by turning a daily habit into a global business. More than 40,000 stores now serve customers across dozens of countries, creating a footprint few restaurant companies can match.

Starbucks produced approximately $229.9 million in operating income during its latest quarter 2 2026 earnings while maintaining an operating margin of 40.5%. Those figures reflect a business that continues generating meaningful profits despite facing the same consumer pressures affecting much of the industry.

Shares recently traded at $101.59, above the 20-day moving average of $100.28, the 50-day moving average of $100.84, and the 200-day moving average of $91.72. Roughly 7.05 million shares change hands daily while the stock continues building on a recovery that began earlier this year.

Price action often reveals where capital is moving before headlines catch up. Investors spent months discussing slowing traffic, China concerns, and operational challenges. The stock spent the same period climbing above every major moving average.

Scale, profitability, and strengthening momentum rarely travel together by accident.

Starbucks already possesses the store network, customer loyalty ecosystem, pricing power, and brand recognition required to benefit when investor attention broadens beyond technology.

Target Quietly Rebuilt Momentum

Target (NYSE: TGT) spent the last several years navigating shifting consumer behavior, inventory challenges, inflation pressures, and changing spending patterns. Investors responded by pushing the stock into one of the steepest drawdowns among large retail names.

The business continued producing results.

Target earned $1.71 per share during its quarter 1 2026 earnings and a revenue beat of $25.44 billion. Those figures came from a retailer operating thousands of locations, maintaining nationwide brand recognition, and generating billions of dollars in annual revenue.

The stock currently trades at $133.17, comfortably above the 20-day moving average of $126.60, the 50-day moving average of $125.89, and the 200-day moving average of $106.95. Average daily volume sits near 7.29 million shares while the stock continues building a higher-high, higher-low structure after climbing from the mid-$80 range reached last year.

Investors searching for consumer exposure don’t need to imagine a turnaround scenario or project aggressive growth assumptions. The company already generates earnings, already generates cash flow, and already possesses the infrastructure required to participate in a stronger consumer environment.

Why This Shift Into Consumer Stocks Matters

The strongest opportunities rarely emerge from the most crowded trade on Wall Street.

Granted, AI deserved much of the capital it attracted. Revenue growth, infrastructure spending, and demand for computing power created one of the most compelling investment themes of the decade. Investors recognized that early and benefited accordingly.

At the same time, capital concentration creates opportunities elsewhere.

Nike generated $11.3 billion in quarterly revenue while rebuilding technical momentum above key moving averages.

Starbucks produced substantial operating income, maintained a global footprint exceeding 40,000 stores, and pushed above its 20-day, 50-day, and 200-day moving averages.

Target generated $22.44 billion in revenue while climbing more than 50% from last year’s lows and establishing one of the strongest charts in the retail sector.

What you’re seeing are figures that best describe businesses executing in the real world while capital remains focused elsewhere.

Eventually, stock prices and business performance find each other.

Nike, Starbucks, and Target already possess the scale, financial resources, and improving technical setups required to benefit if capital begins searching beyond the market’s most crowded trade. The companies continue generating revenue. The earnings reports continue arriving. The charts continue improving.

Wall Street won’t ignore those combinations forever.

Yet, NVIDIA Corporation (NYSE: NVDA) reported Q1 earnings for FY27 with a revenue of $81.6 billion and diluted EPS of $0.76 instead. That contradiction was the most fascinating part of the quarter because Nvidia did not merely overcome a headwind that could have crippled most companies; it produced numbers so large they almost buried China’s story.

And the deeper I went, the harder it became to view NVIDIA as “just” a semiconductor company going forward.

China Has Crippled Growth Stories Before

Apple Inc. (NASDAQ: AAPL) regularly faces scrutiny whenever Chinese sales slow. Nike Inc. (NYSE: NKE) spent years treating China as a critical growth engine before slowing demand became a recurring concern. Starbucks Corporation (NASDAQ: SBUX) spent decades building China into its most important international growth engine. Yet, increasing local competition has pressured the company to explore strategic alternatives for its China business as growth slowed

That’s how global markets normally work. When a major market weakens, growth slows, and investors reassess expectations.

NVIDIA faced something far worse than slowing demand.

The company disclosed that H20 export restrictions resulted in a $4.5 billion charge during the quarter. It also disclosed an additional $2.5 billion in H20 revenue it could not ship due to those restrictions.

That is $7 billion of impact connected to a single product line. For most companies, a disruption of that magnitude would dominate the quarter. For NVIDIA, it became background noise.

NVIDIA Showed How Little China Matters

The quality of numbers NVIDIA released this quarter is disturbing, but in a good way.

Revenue reached $81.6 billion. Gross profit reached $58.8 billion. Operating income reached $44.1 billion. Operating cash flow reached $48.8 billion. Free cash flow reached $26 billion.

The board also approved an additional $80 billion share repurchase authorization.

When you compare this to the $7 billion connected to China again, NVIDIA still generated enough cash in one quarter to fund entire industries.

But make no mistake, this story isn’t about how NVIDIA survived China’s restrictions. In fact, focusing on that alone could cause a fatal misinterpretation of these earnings, which could lead you to a false conclusion about the AI boom and where it’s headed.

What I’m trying to tell you is that the global AI spending has expanded so rapidly it absorbed the restrictions that broke down the internet a couple of months ago.

And nowhere was that reality more visible than inside the Data Center business. Let me explain.

What Selling The Capacity Behind An Infrastructure Race Looks Like

A step further in this report, you’d bump into Data Center revenue climbing to $75.2 billion, up 92% year-over-year.

Not only that, Gaming also generated $3.8 billion. Professional Visualization generated $509 million. Automotive generated $567 million.

Place those figures next to each other, and the transformation becomes impossible to ignore.

The old NVIDIA still exists, which is where most investors’ theses are stuck.

But the new NVIDIA completely dominates it. The company no longer looks like a chipmaker benefiting from AI demand. It looks like the company supplying the computational backbone behind one of the largest infrastructure buildouts in modern history.

The quarter repeatedly pointed toward the same destination; Blackwell systems ramped. AI factories expanded. Sovereign AI projects accelerated. Inference demand continued climbing.

The world’s largest technology companies, the government and enterprises… Everyone is still spending because, before an AI model can reason, before a robot can navigate a warehouse, before an autonomous vehicle can interpret its surroundings, someone must build the computing infrastructure first. And NVIDIA is sitting at the center of it all.

A Powerful Uptrend

NVDA exploded higher following earnings, confirming what had already become one of the strongest charts in the market. The stock recently broke above the key $200 resistance zone, turning a level that capped rallies for months into potential support.

Technically, NVDA remains firmly above its 20-, 50-, and 200-day moving averages, signaling a strong momentum across multiple timeframes.

The earnings-driven surge also pushed the stock toward the upper boundary of its rising channel near $235-$240. While some short-term consolidation would be normal after such a sharp run, the trend remains firmly in the bulls’ favor as long as NVDA holds above the $200 breakout area.

At the moment, buyers continue treating every pullback as an opportunity to gain exposure to the AI infrastructure buildout.

The Spending Still Hasn’t Hit The Wall

Of course, Wall Street keeps searching for signs that AI spending will cool.

NVIDIA’s guidance told a different story.

The company guided for approximately $91 billion in Q2 revenue despite the continued impact from export restrictions.

That may be the most important figure in the entire report.

Because guidance arrives after management has already seen customer orders, deployment schedules, capacity plans, and infrastructure demand.

And yet the company still expects another leap higher. This is why NVIDIA is losing billions of dollars tied to China, while still producing revenue, profits, cash flow, and guidance that most corporations could not generate under ideal conditions…could go down as the most critical AI story in decades.

And if this infrastructure race keeps accelerating faster than global tension, the company’s biggest challenge may no longer be finding customers. It may be keeping up with them.

Fundamentally, one of the more exciting elements of the Golden Arches is the fruits of the company’s product innovation. Following the pilot program of the beverage-focused CosMc’s concept, McDonald’s recently announced a major strategic undertaking. Rather than just building more standalone cafes, the fast-food giant is integrating CosMc’s tech and menu into its core locations.

Specifically, McDonald’s is launching its Refreshers and crafted soda line nationwide, including its high-margin items such as its dirty sodas and energy drink collaborations. Financially, specialty beverages carry significantly higher margins than food products like hamburgers. By capturing a slice of the multi-billion-dollar industry, which is currently dominated by Starbucks (NASDAQ: SBUX), MCD stock could benefit from a sizable boost in same-store sales.

Such an optimistic outlook is supported by McDonald’s massive and loyal consumer base. Further, with digital transactions increasingly ramping up across the discretionary retail sector, the fast-food giant has taken great steps to integrate the latest tech. This has resulted in a conspicuous pickup in systemwide sales in key markets.

What’s really fascinating amid the K-shaped economic recovery is McDonald’s ability to capture market share from consumers facing recent financial headwinds. Because of the increasing pressure both economically and geopolitically, many patrons who would rather eat at fast-casual restaurants like Chipotle (NYSE: CMG) are trading down to McDonald’s.

Even better, because of the investments the company has made, the trade down doesn’t feel that much of a compromise. With MCD stock in a slog over the past year, now may be an intriguing time to consider opening a long-side position. Additionally, an intriguing market signal has made this prospect all the more enticing.

Using the Inductive Approach to Trade MCD Stock

Obviously, the whole idea of estimating what may happen in the future is to profit from the potential move before it happens. It doesn’t really do you much good to read a story waxing poetic about what did happen — unless you’re into that sort of thing. Of course, forecasting comes with a certain degree of risk because no one knows exactly what will happen.

To help narrow down the odds, traders use induction, which is a fancy term for pattern recognition. An inductive methodology relies on the uniformity of nature or the assumption that the future will resemble the past. It’s not a perfect, foolproof approach, but when dealing with the unknown future, it’s the best (and only) philosophy we have.

For example, technical analysis is highly inductive. If you see a head-and-shoulders pattern, you have been taught that there is a high probability that the target security will fall in value. Apparently, people have studied head and shoulders — and supposedly, a great many of these patterns end up in bearish trends.

However, no one (to my knowledge) has quantified these claims. We don’t know what the success ratio is for these technical patterns. Further, no arbiter exists to objectively define what these patterns are and when they are valid.

To help get around this dilemma, I prefer to use a discretized inductive analysis. We take the infinite realm of the scalar signal and convert this data into discretized signals. In this manner, we’re quantifying what a signal actually means and using that quantification to calculate a forward distribution of likely events in the future.

There’s no really elegant way of expressing discretization, so let me cut to the chase. What I’m doing is conditioning data associated with the last 10 weeks to find out what is likely to happen in the next 10 weeks.

It’s no different than comparing a baseball player’s career batting average to his batting average when there are runners in scoring position (RISP). If there’s a favorable discrepancy between his aggregate average and his RISP average, that’s conditioned data that can be used to one’s advantage.

Turning Theory into Action for McDonald’s Stock

Let’s move into some practical applications, particularly for options traders. Using a dataset going back to January 2019, if you were to hold McDonald’s stock at random for any 10-week period, you would statistically come out a winner due to the security’s upward bias.

Specifically, out of 362 rolling 10-week sequences, 228 of them have risen above the starting price. That gives MCD stock an exceedance ratio of 63%, which is fantastic. It’s also somewhat expected, given the blue-chip status and reliable nature of the Golden Arches.

Drilling into the details, if we assume a starting price of $301.84 (Tuesday’s close), MCD stock — using an inductive calculation — would be expected on average between $298 and $315. Probability density would likely peak at $305, meaning that random speculation over the aforementioned period should more often than not lead to a modest return.

Of course, we’re not interested in trading MCD stock randomly; instead, we’re specifically targeting the current signal to see if there’s a meaningful advantage over the aggregate baseline. In the last 10 weeks, MCD has printed only three up weeks, leading to an overall downward slope. Under this 3-7-D condition, the 10-week forward distribution noticeably shifts toward the positive end of the profitability axis.

Nominally, if we assume the same $301.84 starting price but under 3-7-D conditions, MCD stock will likely range between $290 and $360. Probability density is projected to peak at $330, which is a considerable improvement over the aggregate forecast.

By now, you know where I’m going with this. We can use the leverage of options to enhance the potential return of this tempting trade.

I really can’t help but gravitate toward the idea of the 325/330 bull call spread expiring June 18. We’re betting that McDonald’s stock rises through the $330 strike at expiration. If it does, the maximum payout comes out to a stunning 410%. Also, keep in mind that the net cost you pay per spread is only $98.

Bear in mind that induction has its risks. I’ve said it before, and I’ll say it again: just because you see a thousand white swans does not mean all swans are white. Still, when you consider the tendency of MCD stock rising to $330 over a 10-week period under 3-7-D conditions and the very reasonable net cost of the bull spread, I can only repeat the corporate slogan.

I’m lovin’ it.

And that’s where the math gets tough for coffee stocks such as Dutch Bros Coffee (NYSE: BROS) and Starbucks Corp. (NASDAQ: SBUX). Both companies are negotiating higher input prices on coffee. Year-over-year revenue increases suggest that consumers aren’t shying away from their coffee fix.  

However, higher coffee prices are weighing on margins. That tension between resilient demand and pressured profitability sets the stage for an intriguing match-up between these two very different coffee stocks.  

Dutch Bros: Growth Story with Tightening Margins

Dutch Bros is still firmly in hyper-growth mode, and the numbers from its Q3 earnings report underscore just how aggressively management is leaning into new units. Total shop count climbed from 950 in Q3 2024 to 1,081 in Q3 2025, with company-operated shops growing from 645 to 759 over the same period.

That expansion helped push total revenue from about 338 million in Q3 2024 to roughly 424 million in Q3 2025, driven primarily by company-operated shop revenue rising from about 308 million to nearly 393 million.  

Same shop sales remain a bright spot, with systemwide same shop sales up 5.7% in Q3 2025, supported by 4.7% transaction growth and a modest 1.0% increase in ticket. Company-operated same shop sales were even stronger at 7.4%, as transactions rose 6.8% and ticket inched higher by 0.6%, signaling that Dutch Bros is still winning traffic rather than leaning solely on price.  

For a growth-focused investor, that blend of unit expansion and positive traffic is exactly what you want to see.

The trade-off shows up in profitability. Company-operated shop contribution margin declined from 29.5% in Q3 2024 to 27.8% in Q3 2025, even as absolute company-operated shop contribution grew from 90.8 million to 109.2 million.  

Company-operated shop revenue grew faster than gross profit, and beverage, food, and packaging costs held at roughly 26% of revenue while labor and occupancy stayed in the high-20s and mid-teens percentages, respectively. Adjusted EBITDA did increase from 63.8 million to 78.0 million year-over-year in Q3, but the adjusted EBITDA margin slipped from 18.9% to 18.4%, reflecting the cost of scaling the footprint.  

Looking ahead, management’s 2025 outlook still leans into growth, calling for about 160 total system new shop openings and revenue between 1.61 billion and 1.615 billion. The company also targets approximately 5% same shop sales growth and adjusted EBITDA between 285 million and 290 million, with capital expenditures in the 240 million to 260 million range.  

The Issue for BROS Stock – Future Growth vs Current Valuation 

That guidance reinforces the core Dutch Bros narrative: this is a story about building a national platform first and optimizing margins later. However, that still means investors have to decide if they’re willing to pay the premium that they’re currently paying for BROS stock. 

Bulls will say that even at 109x earnings, BROS stock is still a value compared to its historic average. The counterargument would be that the company has only been publicly traded since late 2021. So far, investors have bought into the growth now, margin later story, but will want to ensure that the company is in line to hit analysts’ forecasts for 38% earnings growth in the next 12 months.  

Starbucks: Turnaround With Margin Pressure 

Starbucks’ latest quarter tells a different story: less about store growth and more about stabilizing comps and rebuilding profitability after a rough stretch.  

The company ended the fiscal year with a global store count of 40,990, and Q4 was notable for delivering global comparable sales growth for the first time in seven quarters. Global net revenue for Q4 came in at 9.6 billion, up 5% year-over-year, with full-year global net revenue of 37.2 billion, up 3%.  

Under the surface, comps were mixed across regions. In Q4, global comps were flat, with North America and International segments also roughly flat, while U.S. comps grew 3% and China comps increased 2%. For FY25, Starbucks is guiding to low single-digit comparable sales growth, with North America comps targeted at about 2% and International at roughly 2% as well.  

That is not breakneck growth, but it is a marked improvement from prior quarters of negative or sluggish comps, and it supports the idea that the turnaround is at least gaining traction.  

Profitability remains the sticking point. Q4 global operating margin was 9.4%, down 500 basis points year-over-year on a constant currency basis, and full-year FY25 global operating margin was 9.9%, also down 500 basis points. Non-GAAP diluted net EPS for Q4 was 0.52, down 34% year-over-year, with full-year non-GAAP EPS of 2.13, down 35%. 

The Issue for SBUX Stock – A Turnaround Plan Faces Labor and Legal Headwinds 

Management characterizes this as a multi-year turnaround and emphasizes a focus on driving the topline while managing controllable costs to deliver durable, sustainable growth and long-term shareholder value.  

However, investors still have to accept that margins are starting from a compressed base. They also have to weigh the impact of a barista strike as well as a shareholder lawsuit that alleges Starbucks misled investors, as it relates to the negative financial impact of its anti-union posture.  

Which Of These Coffee Stocks is Worth a Buy? 

Strictly in the area of coffee stocks, Dutch Bros looks like the purer growth vehicle for long-term investors. The company is adding shops at a double-digit clip, comping positive on both traffic and ticket, and guiding to mid-single-digit same shop sales growth on top of an expanding footprint. Margins are under pressure, but adjusted EBITDA is still growing, and management is willing to spend heavily on capex to support that growth. 

Starbucks, by contrast, offers slower growth, but potentially a more asymmetric setup. The store base is mature, comps are stabilizing after a difficult stretch, and the company is openly treating this as a multi-year turnaround focused on rebuilding operating margin from single-digit levels. Non-GAAP EPS is down sharply year-over-year, which keeps expectations grounded, but even modest progress on comps and cost control could have an outsized impact on earnings from here.  

Putting it together, Dutch Bros appears to be the stronger choice among these coffee stocks for long-term investors looking for a high-growth coffee name where accelerating unit growth and positive traffic trends can outweigh current margin pressure.