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Use up to 4 U.S.-listed names from this dashboard to compare valuation, growth, cash flow, balance-sheet strength, and the curated investment case in one place.

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Compute Stack AI Platforms Power Buildout Robotics
NXPI Power, Analog & Electrification

NXP Semiconductors

Auto / edge analog and embedded

Detail page

NXP is more of an auto, industrial, and edge-computing analog name than a direct data-center play.

Price $310.15
1D change +5.39%
Market cap $78.30B
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 NXPI
Price $310.15
1D Change +5.39%
Market Cap $78.30B
Enterprise Value $86.67B
Trailing P/E 29.7
Forward P/E 17.6
Price / Sales 6.2
EV / Revenue 6.9
Revenue Growth 12.2%
Earnings Growth 130.7%
Gross Margin 55.6%
Operating Margin 47.4%
Net Margin 21.0%
ROE 25.8%
Free Cash Flow $3.12B
FCF Margin 24.7%
Debt / Equity 1.04x
Current Ratio 2.24x
Dividend Yield 131.00%
Next Earnings Jul 27, 2026
Quarterly Revenue $3.18B
Revenue QoQ -4.6%
Quarterly Net Income $1.12B
Net Income QoQ +146.6%

NXPI thesis lens

Auto / edge analog and embedded

Why it could benefit

  • NXP is more of an auto, industrial, and edge-computing analog name than a direct data-center play.
  • It can still benefit if AI lifts embedded compute, sensing, and power content at the edge.
  • This makes it a broader intelligent-systems play inside an AI portfolio.

Moat / edge

  • Deep embedded and automotive relationships.
  • Strong portfolio in MCUs, connectivity, and mixed-signal solutions.
  • Long qualification cycles in regulated end markets.

What to watch

  • Auto demand normalization and content growth.
  • Industrial and edge-application recovery.
  • Margin resilience during cyclical swings.

Key risks

  • The thesis is more edge-AI than core data-center AI.
  • Auto softness can overwhelm AI optimism in the near term.