Nvidia's stock has stumbled amid rising bond yields and market volatility, but Oppenheimer is doubling down on its bullish outlook ahead of the company's August 26 earnings report, citing product momentum and massive revenue projections
Nvidia's upcoming earnings report on August 26 arrives at a tense moment for both the company and the broader market. Over the past several weeks, Nvidia shares have been under pressure as surging bond yields and a broad selloff in technology stocks have weighed on investor sentiment. AI infrastructure companies, including Nvidia, have felt the brunt of this volatility, with concerns ranging from financing risks to shifting regulatory dynamics.
Despite the turbulence, Oppenheimer is maintaining a bullish stance. The firm recently reaffirmed its Outperform rating and $265 price target for Nvidia, according to Investing.com. Oppenheimer's conviction is rooted in specific financial metrics: Nvidia currently trades at a price-to-earnings ratio of 33.64 and a price/earnings-to-growth (PEG) ratio of 0.3. Over the past 12 months, Nvidia has posted 71% revenue growth, with a market capitalization of $5.31 trillion and a gross profit margin of 74%.
Product Pipeline and Revenue Projections
Oppenheimer expects Nvidia to exceed Wall Street's second-quarter estimates and deliver a stronger-than-anticipated outlook for the third quarter. The firm projects that Nvidia's GB200, GB300, and VR200 platforms could generate more than $1 trillion in cumulative revenue between 2025 and 2027. These projections reflect the scale of investment that hyperscale cloud providers and AI developers are making in next-generation infrastructure.
For the second quarter, Nvidia has guided to $91 billion in revenue, plus or minus 2%, with a targeted gross margin of approximately 75%. Wall Street's consensus estimate is slightly higher at $91.9 billion. Notably, this guidance excludes any data center compute revenue from China, reflecting ongoing U.S. export restrictions.
Oppenheimer also highlighted Nvidia's role as the exclusive AI compute infrastructure provider at SB Energy's PORTS-Pike Technology Campus in Ohio. The project, which will supply up to 8 gigawatts of capacity, is backed by a $1.5 billion direct investment from Nvidia and residual value guarantees capped at $105 billion. OpenAI has committed to a 20-year lease at the campus, with phased capacity coming online starting in 2028, according to CNBC.
Blackwell Ultra and Data Center Momentum
The near-term case for Nvidia centers on the Blackwell Ultra platform. Oppenheimer expects the next-generation VR200 system to ramp up during the current quarter, potentially accelerating Nvidia's data center business in the second half of the year. Blackwell Ultra's performance-per-watt advantage is a key differentiator, as AI data centers face mounting electricity costs and power constraints. Chips that deliver more computing power per watt can help operators manage expenses and infrastructure limits.
Oppenheimer points to two metrics it believes will become increasingly important as AI adoption grows: tokens per minute, which measures how quickly a model generates output, and cost per token, which tracks the expense of that output. Nvidia is seen as the industry leader on both fronts. The company's competitive edge extends beyond GPUs to a full-stack platform that includes networking switches, network interface cards, InfiniBand and Ethernet connectivity, NVLink interconnects, and CUDA software. Once a data center is built around this ecosystem, switching costs can be significant.
Stifel, TD Cowen, Bank of America, and Goldman Sachs have also reiterated bullish ratings on Nvidia, with price targets ranging from $265 to $350. Moody's and S&P Global Ratings have affirmed Nvidia's strong credit ratings, underscoring the company's financial stability. Yet, the spread between analyst targets reflects real debate over how much future growth is already priced into the stock.
Expanding Beyond Accelerators
Oppenheimer forecasts that Nvidia's Vera CPU could generate around $20 billion in revenue in 2026, putting it on par with the CPU businesses of Intel and AMD. This expansion could allow Nvidia to capture a larger share of data center spending, as operators increasingly look for integrated solutions from a single vendor. The firm also sees potential upside from China, estimating that H200 accelerator sales in the country could exceed $50 billion if export restrictions change. While this is not Oppenheimer's base case, it represents a significant variable for future growth.
For context, Nvidia's push into the CPU market has drawn comparisons to its rivals and raised questions about how entrenched competitors might respond. As explored in this analysis of Nvidia's $170 billion CPU ambitions, the company's ability to expand beyond accelerators will depend on both technological execution and customer adoption in a highly competitive landscape.
What's at Stake This Quarter
Heading into the August 26 report, the market is looking for Nvidia to deliver a clean earnings beat, raise guidance, and provide concrete updates on the Blackwell Ultra and VR200 product timelines. Investors will also be watching for any signals about the Vera CPU's commercial rollout and the potential for additional revenue streams. With the stock already absorbing negative sentiment from recent market volatility, a strong report could quickly shift the mood. On the other hand, merely meeting expectations may not be enough to satisfy investors given the elevated bar and ongoing concerns about bond yields and AI financing risks.
For the fiscal year ended January 2026, Nvidia reported annual revenue of $89.2 billion, up from $60.9 billion the previous year, according to company filings. The company's data center segment accounted for more than 80% of total revenue, reflecting the central role of AI infrastructure in Nvidia's growth story. As of August 2026, Nvidia's market capitalization remains above $5 trillion, making it one of the most valuable companies in the world.
As Nvidia's product lineup expands and competition intensifies, investors should pay close attention to how the company manages its transition from a pure GPU provider to a broader platform supplier. The integration of CPUs, networking, and software into a unified stack could deepen customer relationships but also raises execution risks. For U.S. investors, the outcome of this shift will likely influence not only Nvidia's valuation but also the broader trajectory of AI infrastructure spending and technology sector leadership in the years ahead.
