The most striking thing about Nvidia right now isn’t the share price. It’s the balance sheet. The company that built its reputation selling graphics processors has quietly transformed into something far more complex — a financier of the very infrastructure that buys its chips. That evolution, more than any single trading session, is what investors are wrestling with as the calendar ticks toward the August 26 earnings report.
A Demand Picture That Defies Gravity
The bull case remains unusually straightforward. Analyst Dan Ives of Yorkville & Ives describes a demand-to-supply ratio of 12 to 1 for Nvidia’s chips, framing the recent pullback as a buying opportunity rather than a warning. Supporting that view is a multi-year agreement between Corvex and a leading AI firm covering liquid-cooled Blackwell GPU systems — the HGX B200 — paired with Quantum-2 InfiniBand networking. Notably, the deal is funded through debt, customer prepayments, and cash, with no new share issuance attached.
Elon Musk added his own endorsement during SpaceX’s earnings call, praising the Vera Rubin platform and committing the company to build its future compute exclusively on Nvidia technology. SpaceX is targeting more than two gigawatts of compute capacity by the end of 2026, with plans to multiply that figure again by the end of 2027.
The fundamentals back up the enthusiasm. First-quarter revenue for fiscal 2027 came in at $81.6 billion, up 85 percent year over year. The data center segment alone contributed $75.2 billion, a 92 percent jump, supported by an adjusted gross margin of 75 percent. Management has guided to $91 billion in revenue for the current quarter, plus or minus 2 percent.
The Other Side of the Ledger
Yet for every data point supporting the rally, there’s a counterweight. Insider selling has reached $410.6 million over the past three months — with zero open-market purchases to offset it. That’s not a prediction of a downturn, but it sits awkwardly alongside a narrative of unbridled internal confidence.
More concerning is the debate over what critics call circular financing. Nvidia reportedly stands behind a $250 billion debt guarantee tied to OpenAI infrastructure, though the existence and structure of such an arrangement remain unconfirmed. The concern, first raised publicly by investor Michael Burry — who has since expanded his put positions against the stock — is that chipmakers, cloud providers, and AI startups are financing each other in a loop, creating demand that may not translate into sustainable end-customer revenue. Reports of deals between SK Group and OpenAI reaching up to $750 billion only deepen that worry.
Aswath Damodaran, the NYU professor known as the “Dean of Valuation,” exited his Nvidia position entirely in late 2025. His argument: AI companies would need combined revenues of $2 trillion to $4 trillion to justify current valuations, and the stock is “priced for perfection” with no margin of safety. Ray Dalio of Bridgewater has drawn parallels to 1929 and 2000, pointing to rising equity issuance and interest rates across the AI sector as warning signs.
Should investors sell immediately? Or is it worth buying Nvidia?
The Market’s Verdict So Far
None of this has derailed the share price. The stock closed at €183.66 in German trading on Tuesday, up 2.28 percent, after a session that also lifted AMD and Intel while the S&P 500 touched a record high. The stock currently trades at €189.54, gaining 3.20 percent on the day, though it remains 6.40 percent below its 52-week high of €202.50.
Analyst sentiment remains heavily skewed positive. Wells Fargo and Bernstein both reaffirmed price targets of $315 with “Overweight” and “Outperform” ratings respectively on Tuesday, citing strong visibility into data center orders. Of the 37 analysts covering the stock, 36 rate it a buy. Price targets span from $250 to $500, with Tigress Financial at $425 and Evercore at $413 among the most bullish. Consensus estimates cluster between roughly $297 and $309, depending on the survey.
Valuation offers its own talking point: Nvidia’s forward price-to-earnings ratio of approximately 18.9 to 22.8, depending on the calculation method, sits below both the S&P 500 and the PHLX semiconductor index — a data point bulls cite as evidence of room to run.
A Strategy Built on Entanglement
Nvidia’s expansion strategy extends well beyond selling chips. The company has confirmed a “substantial investment” in Ilya Sutskever’s Safe Superintelligence laboratory, securing long-term compute capacity for “superintelligent” AI systems. That follows a late-July announcement of a strategic partnership aimed at decupling SSI’s compute capacity within twelve months.
The list of alliances keeps growing: an expanded partnership with South Korea’s SK Group for “AI Factories” and new HBM memory solutions, separate agreements with NAVER and Brookfield for national AI infrastructure in South Korea and North America, and a joint research lab with the KAIST institute for semiconductor innovation. Nvidia’s cash reserves of $80.5 billion, as of April 2026, are increasingly deployed as financial backing for large data center projects.
The strategy is coherent: secure demand for years by embedding Nvidia into the financing structure of its own customers. The risk is equally coherent — when a supplier becomes a lender to its buyers, the line between revenue growth and risk concentration begins to blur. The August 26 earnings report will offer the first hard test of whether this model translates into numbers that justify the optimism, or whether the skeptics’ questions about circular financing gain traction. Both narratives deserve equal weight until then.
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