NVIDIA Reports $81.6 Billion in Q1 Revenue, Beats Estimates, and Guides Q2 to $91 Billion

NVIDIA posted fiscal first-quarter revenue of $81.62 billion, beating analysts' average estimate of $78.86 billion, according to LSEG data. The company guided Q2 revenue to $91 billion, plus or minus 2%, against Wall Street's consensus estimate of $86.84 billion, and announced an $80 billion share repurchase program.

Q1 Results by the Numbers

NVIDIA's quarter was driven by continued AI infrastructure spending across major cloud and enterprise customers.

Key figures:

• Q1 revenue: $81.62 billion (estimate: $78.86 billion)
  • Data center revenue: $75.2 billion (estimate: $72.8 billion)
  • Adjusted earnings per share: $1.87 (estimate: $1.76)
  • Q2 revenue guidance: $91 billion, plus or minus 2%
  • Supply on hand: $119 billion, up from $95.2 billion in the prior quarter
  • Cloud computing agreements disclosed: $30 billion, up from $27 billion sequentially
  • Quarterly dividend: increased to $0.25 per share from $0.01

NVIDIA shares initially fell more than 2% on the news before recovering to a decline of 0.2% in extended trading.

Data Center Remains the Core Driver

Data center revenue of $75.2 billion accounted for approximately 92% of total Q1 revenue. The segment continues to outpace analyst estimates as hyperscalers and enterprises expand AI compute capacity.

US tech giants, including Alphabet, Amazon, and Microsoft, are expected to spend more than $700 billion on AI infrastructure in 2026, up from roughly $400 billion in 2025. NVIDIA's chips power virtually every major data center in the world and are used to train and run the largest AI models. Its quarterly results are widely read by investors as a proxy for the health of the broader AI market.

NVIDIA CFO Colette Kress said on the earnings call that the market for NVIDIA's central processors, or CPUs, is roughly $200 billion, and the company has "visibility into nearly $20 billion in total CPU revenue" for the current fiscal year.

The $30 Billion in Cloud Agreements

NVIDIA disclosed $30 billion in cloud computing agreements, up sequentially from $27 billion. The company said these are tied to research and development efforts.

Seaport analyst Jay Goldberg previously described similar commitments as likely "backstops," in which NVIDIA agrees to pay cloud providers that purchase its hardware for any excess capacity those providers cannot fill. NVIDIA has not disputed that characterization publicly.

Competition Builds From Customers and Rivals

Analysts note that a beat from NVIDIA is no longer a surprise. The question for investors is whether demand holds into 2027 and 2028 as the market shifts.

eMarketer analyst Jacob Bourne said:

"NVIDIA delivered another beat, but at this point that's essentially priced in as it keeps beating quarter after quarter. The lingering question is whether it can convince investors the AI buildout has durability into 2027 and 2028, especially as the narrative shifts toward inference workloads and competing silicon from Google, Amazon, AMD, and Intel."

Two distinct competitive pressures are converging:

• Custom silicon from customers: Alphabet, Amazon, and Microsoft are investing in proprietary AI chips targeted at inference, the process by which AI models respond to user queries. Inference is a larger market than training and is where future AI compute spend is expected to concentrate
• Chip rivals: Intel and Advanced Micro Devices have both positioned their products as alternatives for inference workloads and cited the segment as a significant revenue opportunity

NVIDIA is also managing supply chain exposure during a global memory chip shortage. Its supply position rose to $119 billion in Q1, up from $95.2 billion in the prior quarter, suggesting active inventory management to avoid production constraints.

Teams and developers who work with AI models built on NVIDIA infrastructure can explore and compare leading AI models, including those from labs whose training runs depend on NVIDIA's data center chips.

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