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Compute Stack AI Platforms Power Buildout Robotics
TSLA Robotics

Tesla

Autonomy + embodied AI platform

Detail page

Tesla is one of the clearest public ways to express a view on real-world AI through autonomy, robotics, and edge inference.

Price $426.98
1D change +3.69%
Market cap $1.60T
Sector Consumer Cyclical

Shared metric table

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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 TSLA
Price $426.98
1D Change +3.69%
Market Cap $1.60T
Enterprise Value $1.52T
Trailing P/E 399.0
Forward P/E 168.4
Price / Sales 16.4
EV / Revenue 15.5
Revenue Growth 15.8%
Earnings Growth 8.3%
Gross Margin 19.1%
Operating Margin 4.2%
Net Margin 3.9%
ROE 4.9%
Free Cash Flow $5.25B
FCF Margin 5.4%
Debt / Equity 0.19x
Current Ratio 2.04x
Dividend Yield —
Next Earnings Jul 22, 2026
Quarterly Revenue $22.39B
Revenue QoQ -10.1%
Quarterly Net Income $477.0M
Net Income QoQ -43.2%

TSLA thesis lens

Autonomy + embodied AI platform

Why it could benefit

  • Tesla is one of the clearest public ways to express a view on real-world AI through autonomy, robotics, and edge inference.
  • If Full Self-Driving improves materially, software and fleet economics can matter more than the market's usual auto framing.
  • Optimus adds long-duration upside tied to embodied AI rather than just electric vehicles.

Moat / edge

  • Large real-world driving dataset and vertically integrated vehicle stack.
  • Tight integration across hardware, software, training infrastructure, and deployment.
  • A successful autonomy platform could create a much broader valuation framework than traditional autos.

What to watch

  • FSD progress, monetization, and regulatory acceptance.
  • Vehicle gross margins excluding one-time factors and incentives.
  • Whether Optimus and AI services become investable contributors rather than narrative optionality.

Key risks

  • Execution and valuation both depend heavily on autonomy actually delivering.
  • Auto cyclicality and pricing pressure can still dominate results if the AI thesis stalls.