Nvidia just posted numbers that most companies would consider a career highlight, not a quarterly routine. Revenue hit $96.2 billion in Q2 fiscal 2027, up 106% from the same period a year ago. Net income reached $59.69 billion, a 126% year-over-year jump.
The data center segment generated $89 billion in revenue, up 117% year-over-year, as hyperscalers and enterprises race to build AI infrastructure. Demand for Nvidia’s chips is so intense that the company’s own Q3 guidance of roughly $108 billion in revenue is described as supply-constrained. The company projects approximately 70% revenue growth for fiscal 2028. Wall Street’s consensus heading into the print was around 45%.
CEO Jensen Huang described AI’s growth trajectory as having reached an inflection point, arguing that compute resources are now producing meaningfully higher revenue productivity than before.
Gross margin came in at 75% for the quarter. Nvidia guided margin down to approximately 74% for Q3, with some projections suggesting a further slide to the 71-72% range in subsequent quarters. Rising memory costs are the primary culprit.
Nvidia has committed up to $105 billion in guarantees tied to an OpenAI data center lease in Ohio. The company is also participating in a $500 billion AI infrastructure financing consortium that includes BlackRock and Goldman Sachs. CFO Colette Kress pushed back on characterizations of this as circular financing, where Nvidia essentially helps fund the customers who then buy Nvidia’s chips. Her argument was that underlying demand is consistent enough to make these commitments low-risk.
Cash flow for the quarter came in at $21.3 billion, a sharp sequential decline from prior quarters.
Nvidia’s stock dipped initially after the print before recovering. Nvidia’s data center business is heavily dependent on a small group of hyperscalers that account for a disproportionate share of AI infrastructure spending. That customer base is increasingly motivated to develop proprietary silicon that reduces dependence on Nvidia. By helping fund customer infrastructure, the company ties its own financial performance more tightly to the success of those customers’ AI bets.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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