Nvidia shares jumped more than 4% in after-hours trading after the chipmaker said demand for its AI gear remains strong enough to support about 70% sales growth next fiscal year, even as supply constraints keep revenue from rising faster. The bullish outlook came with a warning that customers want roughly twice as much product as Nvidia can currently ship, underscoring how the company’s blockbuster run is still being capped by manufacturing limits rather than a lack of appetite.
The update gives Wall Street a fresh jolt in the most crowded trade in tech. Nvidia posted quarterly revenue of $96.2 billion for the period ended late July, up 106% from a year earlier and ahead of the roughly $92.2 billion consensus. Data-center revenue alone reached $89 billion, up 117% year over year, showing the AI buildout is still funneling money into Nvidia’s core business even after months of investor debate about whether the boom can keep compounding at this pace.
The bigger surprise was not the quarter itself but the company’s first-ever year-ahead guidance. Chief Financial Officer Colette Kress forecast about 70% sales growth for fiscal 2028, a rare move for Nvidia and a signal that management is willing to put a number on the next leg of the AI cycle. Chief Executive Jensen Huang reinforced that confidence, saying, “Even though our demand is much greater than 70%, our supply allows us to confidently deliver 70%.” He also noted, “It is the case that we’ve never forecasted, never guided to a year in advance.”
For investors, the forecast lands as a direct rebuttal to the idea that Nvidia’s growth has already peaked. The company has spent the past year becoming the market’s shorthand for AI infrastructure demand, with every earnings release now treated like a referendum on the durability of the trade. This one did not break that narrative. Instead, it extended it, with Nvidia arguing that the only thing standing between current demand and even faster growth is the ability to produce enough chips, not a cooling customer base.
That supply point matters because the company says demand is running well ahead of available output. Kress said customer demand would roughly double, but revenue is limited by supply constraints. That framing suggests the AI cycle is still in a phase where buyers want more than vendors can deliver. In other words, the bottleneck is still industrial, not financial. That is supportive for Nvidia’s pricing power and near-term visibility, but it also means the company’s growth curve remains tied to its ability to keep scaling advanced chip production.
The market reaction reflected that mix of strength and scarcity. A stock that has already become one of the most closely watched names on Wall Street still managed to add to its gains after an enormous quarterly print, a sign that investors are not yet tiring of the AI story. The 4%-plus move after the close also suggests the market took the year-ahead guidance as more important than the quarterly beat itself, since the stock has long been valued on where Nvidia is headed, not just where it has been.
Nvidia also used the update to push back on criticism that its AI ecosystem is being inflated by customer-financing and investment arrangements. Kress addressed that skepticism head-on, saying, “We recognize the scale of this support, and we know some will call this circular financing. We see it differently.” That line goes straight to the heart of a debate that has dogged the company as it expands both its chip sales and its financial support for parts of the AI buildout.
The scrutiny has intensified because Nvidia this month arranged $500 billion in chip financing via a Wall Street investor consortium and backed OpenAI’s Ohio data center with over $100 billion, according to the fact pack. Those moves have fueled talk that the company is helping create the very demand that later shows up in its sales line. Nvidia’s response is that the support is there to accelerate infrastructure deployment, not to fake it. The distinction may matter to accountants and regulators, but for markets the key question is simpler: does the spending keep turning into revenue?
So far, the answer is yes. The company’s latest results show its customers are still buying at a massive scale, and the scale is broadening. Amazon Web Services agreed to begin deploying 2 million additional Nvidia GPUs this quarter, another sign that the cloud buildout remains a major engine of demand. That kind of commitment gives Nvidia a powerful anchor in the enterprise and hyperscale market, where AI training and inference workloads continue to soak up capital spending.
The 70% growth forecast is striking not only because it is large, but because Nvidia is giving a forward view at all. Huang said the company has “never forecasted, never guided to a year in advance,” which makes this guidance feel like a deliberate statement of confidence. Management is effectively telling investors it can see far enough ahead to map out a strong next fiscal year, even in a business where supply, customer timing and product transitions can shift quickly.
That visibility likely reflects two things. First, Nvidia still has a major backlog of demand tied to the current wave of AI infrastructure spending. Second, the company appears to have enough line of sight on production to know that supply will keep improving, even if not fast enough to eliminate bottlenecks. The result is a forecast that is optimistic without sounding reckless. It is not a promise of acceleration forever, but it does argue that the AI spending cycle has not yet hit the wall.
The details also matter because Nvidia has become a bellwether for broader tech sentiment. A number like 70% would be eye-popping for almost any large-cap company, but for Nvidia it now functions as proof that the market’s favorite AI trade still has room to run. The stock’s after-hours gain shows investors are willing to lean into that thesis, even after a long period of outsized performance. The message from the tape was clear: if growth is still this strong, buyers are not ready to walk away.
The next catalyst is already in view. Reuters, via Zawya, and Investing.com reported that shipments of Nvidia’s next-generation Vera Rubin processor are expected to begin this autumn, setting up the product ramp as a key near-term test. That matters because Nvidia’s story is now as much about execution across successive chip generations as it is about demand in the abstract. If the company can keep rolling out new hardware on schedule, it strengthens the case that the AI capex wave is still in its early innings.
The next quarterly earnings report, for fiscal Q3 ending in October 2026, will give investors another chance to check whether this demand picture is holding. For now, the latest results suggest Nvidia is still selling everything it can make, and then some. The company’s challenge is no longer persuading customers to buy into AI; it is turning that appetite into supply fast enough to satisfy the market. That is a good problem to have, but it is still a problem.
For the moment, Nvidia remains the clearest stock-market expression of the AI boom, and this quarter reinforced why. Revenue surged, the guide came in above expectations, and management chose to lean into a controversial but booming financing model rather than retreat from it. As long as demand keeps outrunning supply, Nvidia’s rally has a live narrative behind it.
