Powered by AI

Your AI Research
Copilot for Markets

Real-time market intelligence, structured thesis notes, and AI-driven analysis — all in one place.

AI Research Assistant
Side-by-side research view

Compare names across metrics and research quality

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.

1 stocks in current compare
4 max names side by side
24 shared metrics lined up

Build a compare set

Enter comma-separated tickers from the dashboard universe. Duplicate tickers are ignored automatically.

Clear
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 $295.51
1D change +1.82%
Market cap $74.61B
Sector

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.

On smaller screens, swipe this table horizontally to compare the full set.

Metric NXPI
Price $295.51
1D Change +1.82%
Market Cap $74.61B
Enterprise Value
Trailing P/E 28.3
Forward P/E 16.8
Price / Sales
EV / Revenue
Revenue Growth
Earnings Growth
Gross Margin
Operating Margin
Net Margin
ROE
Free Cash Flow
FCF Margin
Debt / Equity
Current Ratio
Dividend Yield 140.00%
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.