Nvidia’s 5. 47% drop on November 10, 2026, to $168. 89 a share was not caused by a collapse in reported operating performance. It followed a broader reassessment of AI-stock risk, including scrutiny surrounding Chief Executive Jensen Huang and the financing behind fast-growing AI customers. The more important question for markets is whether Nvidia’s exceptional growth can continue without increasingly complex financial ties among chip suppliers, cloud providers and AI laboratories.
The operating evidence remains powerful. In its fiscal second-quarter results, released August 26, Nvidia reported revenue of $96. 221 billion for the quarter ended July 26, up 106% from a year earlier. Data Center revenue reached $89. 0 billion, up 117%. GAAP net income was $59. 688 billion, or $2. 46 per diluted share, while gross margin was 75. 0%. Nvidia guided to fiscal third-quarter revenue of $108. 0 billion, plus or minus 2%, and a 74. 0% gross margin, while explicitly assuming no Data Center compute revenue from China.
That momentum explains why the stock can look less expensive on forward earnings than its headline market value suggests. StockAnalysis reported a November 10 market capitalization of approximately $4. 08 trillion, a trailing price-to-earnings ratio of 21. 36 and a forward P/E ratio of 13. 94. Those ratios depend on estimates and the market-data provider’s methodology, so they are not equivalent to a company-reported forecast. Still, they show the central valuation debate: Nvidia’s multiple is manageable if earnings continue to compound rapidly, but demanding if the current AI buildout becomes a temporary investment cycle.
The Anthropic IPO adds a new layer to that debate. Anthropic’s prospectus, dated November 10, says the company expects an initial offering price of $70 to $78 a share and has agreements with AMD, Broadcom, Google, Micron, Microsoft, Nvidia and TSMC Partners to purchase an aggregate $26. 0 billion of Class N shares in a private placement at the IPO price. The filing identifies Nvidia as one of the participating investors, although the aggregate figure does not specify each company’s individual commitment.
This arrangement does not prove that Nvidia’s reported sales are artificial. The prospectus is evidence of financing and strategic alignment, not evidence that Nvidia recognizes revenue from Anthropic’s equity transaction. The interpretation for investors is narrower but important: Nvidia is simultaneously a critical supplier to AI developers and an investor in parts of the ecosystem that may use the capital to buy computing capacity. That can strengthen demand and accelerate deployment, but it also makes the quality, timing and economic independence of customer spending more important to the valuation thesis.
Nvidia’s filings identify additional execution risks. Its second-quarter 10-Q says the company relies on third parties to manufacture, assemble, package and test products, and warns that shortages of land, power, data-center shells or capital could affect future revenue and financial performance. The filing also notes that shipments of Data Center Hopper products to China were less than 1% of Data Center revenue in the quarter. That limits the immediate China-revenue exposure described in the filing, but export controls remain a strategic constraint because Nvidia’s outlook already excludes China compute revenue.
The near-term catalyst is Nvidia’s scheduled fiscal third-quarter report on November 17. Markets will be looking for evidence that the $108 billion revenue outlook is being met, that gross margin is stabilizing near the 74% guide, and that Vera Rubin systems are converting announced demand into recognized sales. They will also scrutinize customer concentration, supply commitments, capital requirements and any discussion of equity investments in AI companies.
The bullish thesis would be strengthened by revenue above guidance, sustained margins and evidence that AI customers are generating enough commercial demand to fund infrastructure without relying primarily on external capital. The thesis would weaken if growth decelerates materially, margins compress faster than expected, major customers delay deployments, or regulators and investors question the independence of supplier-backed financing. Until those signals arrive, Nvidia’s decline looks less like a simple valuation reset than a market demanding clearer proof that the AI buildout can remain both enormous and economically self-sustaining.