AlphaStocks

GEN vs PANW

As of Sep 20, 2026, Gen Digital (GEN) scores 7.3/10 and Palo Alto Networks (PANW) 5.6/10 on AlphaStocks' five-model composite, so GEN scores higher.

GEN

Gen Digital Inc.

7.3

Consider Buy

$29.01

PANW

Palo Alto Networks Inc

5.6

Consider Buy

$363.57

GEN vs PANW: Which is the Better Investment?

Gen Digital Inc. (GEN) scores 7.3/10 while Palo Alto Networks Inc (PANW) scores 5.6/10 on AlphaStocks' composite model. Gen Digital Inc. has the higher composite rating of Consider Buy. On a P/E basis, Gen Digital Inc. trades at 18.5x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricGENPANW
Scores & Fundamentals
Composite Score7.3/105.6/10
RatingConsider BuyConsider Buy
Price$29.01$363.57
P/E Ratio18.5227.4
ROE39.4%15.1%
Market Cap$18B$291B
Fair Value
Dividend Yield1.9%
Sector Rank#18 of 205#92 of 205
Model Verdicts
PiotroskiStrongNeutral
BuffettAttractiveNeutral
GrahamCautionCaution
LynchNeutralAttractive
GreenblattStrongLimited Data
View full GENanalysis →View full PANWanalysis →

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GEN vs PANW: Which Stock Scores Higher?

Gen Digital Inc. (GEN) and Palo Alto Networks Inc (PANW) are both in the Information Technology sector. GEN currently leads with a composite score of 7.3/10 (Consider Buy) compared to PANW's 5.6/10 (Consider Buy).

The AlphaStocks composite score evaluates each stock across four dimensions: Quality (business strength measured by Piotroski F-Score and Buffett quality criteria), Value (discount to intrinsic worth using Graham, Lynch, and Greenblatt models), Momentum (6-month price trend), and Timing (a confirmation signal that requires both value and momentum to align). A higher composite score indicates stronger overall fundamentals combined with favorable market conditions.

This comparison uses the same scoring framework for both companies, ensuring an apples-to-apples evaluation. Scores are recalculated daily after market close using data from SEC filings and market prices. Read the full methodology to understand how each model contributes to the composite score.

Scores are algorithm-generated research tools, not investment recommendations. Past performance does not guarantee future results. Always do your own due diligence. Full disclaimer