Nvidia’s Q4 FY2026 results beat every Wall Street estimate. Revenue hit $68.1 billion for the quarter and $215.9 billion for the full fiscal year, with data center revenue accounting for $62.3 billion of the quarterly total (91% of all revenue). Net income reached $43 billion for the quarter alone.
The company issued Q1 FY2027 guidance of $78 billion, plus or minus 2%. CEO Jensen Huang described the current moment as an “agentic AI inflection point,” pointing to growing enterprise demand for inference workloads alongside training.
None of it stopped the sell-off. Shares fell 5.5% after hours, wiping approximately $260 billion from Nvidia’s market cap. Investors signaled that record earnings aren’t enough when the question shifts from “is AI spending happening?” to “when does AI spending pay off?” The gap between Nvidia’s execution and Wall Street’s patience has become the defining tension in AI infrastructure markets.
That tension carries real weight for enterprise buyers and infrastructure investors. Nvidia’s data center dominance is undeniable at 91% of quarterly revenue, but the market’s reaction suggests growing anxiety about the payback timeline for hundreds of billions in AI capital expenditure. The numbers validate the AI infrastructure buildout. Whether the returns follow fast enough to justify current valuations is a different question entirely.