Analysis of Recent Performance Shift Between Apple (AAPL), Nvidia (NVDA), and Alphabet (GOOGL)

#stock_performance_shift #MAG7 #tech_stocks #market_dispersion #AAPL #NVDA #GOOGL
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US Stock
November 29, 2025

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Analysis of Recent Performance Shift Between Apple (AAPL), Nvidia (NVDA), and Alphabet (GOOGL)

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Event Summary

A Reddit user observed a notable performance shift among three major tech stocks:

Alphabet (GOOGL)
rising toward multi-trillion valuation,
Apple (AAPL)
climbing without AI hype, and
Nvidia (NVDA)
losing market cap despite high GPU demand. This post sparked discussion on whether the trend reflects long-term rotation or short-term noise [1].

Tool data confirms the observed shift over the past14 trading days:

  • GOOGL
    : +11.54%
  • AAPL
    : +2.71%
  • NVDA
    : -9.28% [0]
Market Impact Analysis
Short-Term Impact (14 Days)

The rotation aligns with the “dispersion” argument in the Reddit discussion—NVDA’s decline (-9.28%) was offset by GOOGL’s gain (+11.54%) within the MAG7 group [1]. AAPL’s modest rise (+2.71%) suggests it is not part of the direct rotation but benefiting from broader market stability [0].

Medium-Term Impact (1 Month)
  • NVDA
    : -11.92% drop, indicating sustained investor concern [0].
  • GOOGL
    : +18.81% gain, driven by AI rollout and cloud growth [0].
  • AAPL
    : +2.69% rise, reflecting steady (but not explosive) performance [0].

The tech sector overall underperformed most sectors on the analysis date (+0.20% vs. energy’s +1.52% gain) [0], highlighting that GOOGL’s rise is company-specific rather than sector-wide.

Key Data Interpretation
Metric AAPL NVDA GOOGL
14-Day Price Change +2.71% -9.28% +11.54%
Market Cap $4.08T $4.31T $3.83T
P/E Ratio 36.85x 43.39x 30.92x
Analyst Consensus Target $300 (+8.6% upside) $250 (+41.2% upside) $300 (-5.6% downside)
Volume (14-Day Avg) 44.47M 219.94M 48.86M

Key observations:

  • NVDA
    : Despite its9.28% drop, it retains the highest market cap among the three, but its2x higher volume than peers signals intense selling pressure [0].
  • GOOGL
    : Its current price ($317.77) exceeds the analyst consensus target ($300), suggesting potential overvaluation [0].
  • AAPL
    : A low P/E ratio relative to NVDA and strong net profit margin (26.92%) support the “bullish hesitation on AI capex” argument [0].
Information Gaps & Context for Decision-Makers

Critical gaps in data limit a full assessment of the Reddit discussion’s arguments:

  1. AAPL Revenue Growth
    : No recent revenue growth data to verify the “no revenue growth” claim (score 39 in discussion) [0].
  2. NVDA Customer Behavior
    : No news on whether customers are actively seeking alternatives to NVDA’s GPUs (core of the “temporary dominance” argument, score1) [0].
  3. AI Capex Details
    : No specifics on AAPL’s AI spending plans to evaluate the “bullish hesitation” argument (score25) [0].
  4. GOOGL Earnings Growth
    : No recent earnings growth data to confirm if derisking and earnings (score2) are driving its rise [0].

Decision-makers should prioritize filling these gaps before concluding on long-term trends.

Risk Considerations & Factors to Monitor
Risk Warnings
  • NVDA
    : Its 88.3% dependence on data center revenue and recent11.92% drop over a month raise concerns about vulnerability to customer shifts [0]. Users should monitor data center revenue trends in its next earnings report.
  • GOOGL
    : Current price exceeds analyst consensus target by5.6%, which may lead to a pullback. Watch for changes in analyst ratings [0].
  • AAPL
    : A high P/E ratio (36.85x) relative to its modest14-day growth (+2.71%) could be a valuation risk if revenue growth remains flat [0].
Key Factors to Monitor
  1. NVDA
    : Data center revenue growth and customer retention metrics.
  2. GOOGL
    : Google Cloud growth and AI product adoption rates.
  3. AAPL
    : Next earnings report for revenue growth updates and AI strategy announcements.
  4. Sector Rotation
    : Whether the MAG7 dispersion trend continues or reverses.

Disclaimer
: This analysis is for informational purposes only and does not constitute investment advice. Always conduct thorough research before making investment decisions.
Note
: Some data gaps exist due to API limitations and should be addressed with additional research.

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.