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Compute Stack AI Platforms Power Buildout Robotics
NVDA Compute / Networking

NVIDIA

AI compute platform

Detail page

NVIDIA remains the center of AI training and high-end inference demand.

Price $215.69
1D change +1.89%
Market cap $5.24T
Sector Technology

Shared metric table

Live market metrics plus reported quarterly revenue and profit QoQ rows.

Green and red only apply where direction is meaningful. Quarterly revenue and profit cells inherit the sign of the reported QoQ change, which can swing sharply when the prior quarter included a one-time item.

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Metric NVDA
Price $215.69
1D Change +1.89%
Market Cap $5.24T
Enterprise Value $5.09T
Trailing P/E 43.9
Forward P/E 19.1
Price / Sales 24.3
EV / Revenue 23.6
Revenue Growth 73.2%
Earnings Growth 95.6%
Gross Margin 71.1%
Operating Margin 65.0%
Net Margin 55.6%
ROE 101.5%
Free Cash Flow $58.13B
FCF Margin 26.9%
Debt / Equity 7.25x
Current Ratio 3.90x
Dividend Yield 2.00%
Next Earnings May 20, 2026
Quarterly Revenue $68.13B
Revenue QoQ +19.5%
Quarterly Net Income $42.96B
Net Income QoQ +34.6%

NVDA thesis lens

AI compute platform

Why it could benefit

  • NVIDIA remains the center of AI training and high-end inference demand.
  • Its stack includes chips, networking, systems, CUDA, and software libraries, not just GPUs.
  • As models get larger and enterprises move into production, full-stack control becomes more valuable.

Moat / edge

  • CUDA ecosystem and developer lock-in.
  • Leading performance in accelerated computing.
  • Integrated platform spanning silicon, interconnect, and software.

What to watch

  • Supply-demand balance for each new architecture cycle.
  • Mix shift between hyperscalers and enterprise customers.
  • Competition from custom silicon and AMD.

Key risks

  • Customer concentration and product-transition execution matter a lot.
  • Any sharp slowdown in capex could compress expectations quickly.