As the world’s most valuable company by market capitalization, NVIDIA is no stranger to the spotlight. Yet, this week, the chipmaker stands at the center of a perfect storm: soaring expectations, shifting market dynamics, and a pivotal earnings report scheduled for Wednesday, August 26, 2026, after the market closes. With Wall Street’s gaze fixed not just on the bond market but also on NVIDIA’s next move, the stakes have rarely been higher for the $5.2 trillion titan, according to FactSet data cited by CNBC and other outlets.
Analysts and investors alike are bracing for what many expect to be another blockbuster quarter. LSEG consensus estimates point to NVIDIA’s Q2 earnings and revenue doubling from the same period last year—a remarkable feat, even by the company’s own lofty standards. But as Richard Reyle, chief investment officer at Questar Capital Partners, told CNBC, “All roads lead to NVIDIA thanks to the enormous AI build out and the circularity of the financing, which makes NVIDIA the alpha bank of all of it.” The question, he noted, is whether the stock can keep climbing even if the results are stellar, or if heightened expectations will set the stage for disappointment.
Dan Ives of Yorkville Ives has been especially vocal about what he sees as persistent underestimation of NVIDIA’s true potential. Speaking to CNBC, Ives argued that “analyst models for the next year and a half sit meaningfully below what the company will actually deliver.” He pointed out that NVIDIA’s last quarter saw $75 billion in data center revenue—an astonishing 92% year-over-year increase—while sovereign revenue shot up more than 80%, with infrastructure now deployed across nearly 40 countries. These numbers, he said, are “validation of a re-rating.”
Much of the current optimism is anchored in NVIDIA’s dominance of the AI hardware market, particularly its Blackwell and Rubin GPUs. According to company disclosures and analyst calls, Amazon Web Services (AWS) plans to deploy more than 1 million of these GPUs starting this year, while Microsoft’s Fairwater data center—powered by hundreds of thousands of Blackwell GPUs—is already live ahead of schedule. As of August 24, 2026, prediction markets like Polymarket were assigning a 96.6% probability that NVIDIA would beat consensus non-GAAP EPS in its Q2 report, with an 84.5% chance of a new all-time high for the stock by year-end.
Yet, bullishness is not universal. While 48 analysts rate the stock a Buy, with 10 Strong Buys, there are also two Holds and a lone Sell, according to the latest consensus. The average price target stands at $302.83, but some, like Morningstar, believe the stock remains undervalued, pegging its fair value at $280 per share and awarding it a four-star rating. Morningstar’s analysts highlight NVIDIA’s “wide economic moat,” crediting its proprietary GPU architecture and the Cuda software ecosystem, which together create high switching costs for customers and keep the company at the forefront of AI workloads.
Morningstar’s latest report projects NVIDIA’s data center revenue will leap from $194 billion in fiscal 2026 to $361 billion in fiscal 2027, representing an eye-popping 86% annual growth. The firm disclosed at its March 2026 GTC conference that it has “high confidence in $1 trillion of cumulative revenue for its Blackwell and Rubin products from the start of calendar 2025 to the end of calendar 2027.” Morningstar even models 80% total revenue growth for NVIDIA in fiscal 2027, driven by an acceleration in AI capital expenditure across the industry.
But it’s not just about the numbers. NVIDIA’s strategic moves—such as investing in AI startups and backstopping partners with a $500 billion mobilization of large financial asset managers—point to a broader ambition to shape the entire AI ecosystem. As Morningstar notes, these deals could signal a new revenue model for NVIDIA, one where it not only supplies hardware but also helps finance and guide the buildout of AI infrastructure worldwide.
One area where Dan Ives believes the market is still playing catch-up is “physical AI”—the application of AI in robotics and autonomous systems. Ives told CNBC, “NVIDIA right now, you’re almost giving them minimal credit for physical AI. And what’s really going to be the next evolution of AI.” While physical AI revenue exceeded $9 billion over the past 12 months, it remains a relatively small slice compared to the data center business. Still, Ives contends that as inference moves from the data center to machines operating in the real world, NVIDIA’s addressable market could expand dramatically, potentially extending the growth story well beyond the current hyperscaler capex cycle.
Of course, not everything is rosy. The AI market is still nascent, and with that comes high uncertainty. Morningstar assigns NVIDIA a “Very High” Uncertainty Rating, citing risks such as customer diversification—where major tech firms like Google, Amazon, and Microsoft are developing their own custom AI chips—and geopolitical tensions that have, at times, restricted NVIDIA’s ability to sell its most advanced products into China. Google’s Ironwood, Amazon’s Trainium3, and Microsoft’s Maia 200 are all efforts to reduce dependency on NVIDIA hardware, though these companies remain heavily reliant on NVIDIA for the bulk of their data center capacity.
Adding to the complexity, NVIDIA is set to raise prices on AI server systems containing its Vera Rubin and Grace Blackwell chips by approximately 15%, with the increases taking effect for shipments in early 2027. According to Bloomberg and Quartz, the price hikes are driven by surging memory chip costs—a result of supply constraints even as memory giants like Microsoft, Google, and Oracle ramp up production. NVIDIA’s chips already command prices in the tens of thousands of dollars apiece, and the company’s 75% gross margin underscores its dominant position. As Bloomberg reported, “That NVIDIA…is passing these costs on rather than absorbing them signals how commanding a position memory chip suppliers have carved out as AI infrastructure spending surges.”
Despite these price hikes and the threat of custom chips, NVIDIA’s grip on the market remains ironclad. As Bank of America strategist Paula Andrea Soto put it, “NVDA is securing every AI input for fast-growing…customers—rewarding now, but risky if demand slows.” Wedbush analyst Matt Bryson is similarly optimistic, writing, “We again expect NVDA to exceed its guidance and to guide October above Street, given 1) a strong hyperscale spending backdrop that firmed further through CQ2 earnings, and 2) a supply position we continue to view as the best in the industry at a point where component and material access, not end demand, is defining shipments.”
Financially, NVIDIA is in robust health, holding $60.6 billion in cash and investments as of October 2025, compared to $8.5 billion in debt. This war chest gives the company ample flexibility to weather industry cycles, invest in R&D, and support strategic initiatives such as AI startup funding and ecosystem expansion.
Ultimately, Wednesday’s earnings report will be a litmus test for both NVIDIA’s near-term execution and its long-term vision. Investors will be watching for concrete evidence of stepped-up production of Blackwell and Rubin GPUs, confirmation that Vera Rubin shipments will begin in Q3, and enough color on sovereign and ACIE demand to support management’s $1 trillion revenue visibility through 2027. If Dan Ives’ thesis holds and NVIDIA can consistently outperform consensus by 15% to 20% over the coming quarters, it may not just meet expectations—it could redefine them.
As the AI arms race intensifies and the world’s tech giants jostle for position, NVIDIA’s next chapter is poised to shape not just the semiconductor industry, but the very future of artificial intelligence itself.