Nvidia Q3 Earnings Smash Expectations: Data Center Revenue Hits $51.2B, Blackwell “Sold Out”

Nvidia (NVDA) delivered a blowout Q3 fiscal 2025 report after market close on November 19, 2025, with revenue and guidance significantly beating Wall Street estimates, reinforcing confidence that the AI investment boom remains in full swing.

Key Financial Highlights

• Q3 Revenue: $57.0 billion, up 62% year-over-year and above the $55.1 billion consensus.
• Data Center Segment (AI-driven): $51.2 billion, surpassing the $49.0 billion expected and representing nearly 90% of total revenue.
• Q4 Guidance: Approximately $65.0 billion, well ahead of the $61.6 billion analyst average.

Following the release, Nvidia shares jumped more than 4% in after-hours trading.

CEO Jensen Huang: “Blackwell Is Selling Like Hotcakes”

Nvidia CEO Jensen Huang declared during the earnings call:

“Blackwell demand is overwhelming — it’s selling like hotcakes. Cloud GPUs are completely sold out.”

The comment directly addressed lingering concerns about an AI spending bubble, with Huang emphasizing sustained multi-year demand from cloud providers, enterprises, and sovereign AI initiatives.

Blackwell Ramp and Supply Chain

The next-generation Blackwell architecture, announced earlier in 2025, began volume shipments in Q3 and is already on allocation. Nvidia confirmed production is ramping aggressively, but customer demand continues to outstrip supply, echoing the capacity constraints seen with the prior Hopper platform.

Market Reaction and Broader Implications

The stronger-than-expected results eased fears of an imminent slowdown in AI infrastructure spending. Shares of Nvidia, up over 180% year-to-date entering the report, extended gains in after-hours trading, lifting sentiment across the broader semiconductor and AI-related ecosystem.

In summary, Nvidia’s Q3 revenue of $57 billion and data center haul of $51.2 billion — coupled with a $65 billion Q4 outlook and CEO Jensen Huang’s assertion that Blackwell GPUs are “sold out” — signal that the AI capital expenditure cycle remains robust heading into 2026.