AlphaStocks

GEN vs QLYS

As of Sep 20, 2026, Gen Digital (GEN) scores 7.3/10 and Qualys (QLYS) 7.5/10 on AlphaStocks' five-model composite, so QLYS scores higher. QLYS trades 18% below its model fair value.

GEN

Gen Digital Inc.

7.3

Consider Buy

$29.01

QLYS

QUALYS, INC.

7.5

Strong Buy

$174.85

GEN vs QLYS: Which is the Better Investment?

Gen Digital Inc. (GEN) scores 7.3/10 while QUALYS, INC. (QLYS) scores 7.5/10 on AlphaStocks' composite model. QUALYS, INC. has the higher composite rating of Strong 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.

MetricGENQLYS
Scores & Fundamentals
Composite Score7.3/107.5/10
RatingConsider BuyStrong Buy
Price$29.01$174.85
P/E Ratio18.532.1
ROE39.4%27.5%
Market Cap$18B$6B
Fair Value$213.76
Dividend Yield1.9%
Sector Rank#18 of 205#14 of 205
Model Verdicts
PiotroskiStrongStrong
BuffettAttractiveAttractive
GrahamCautionCaution
LynchNeutralStrong
GreenblattStrongLimited Data
View full GENanalysis →View full QLYSanalysis →

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GEN vs QLYS: Which Stock Scores Higher?

Gen Digital Inc. (GEN) and QUALYS, INC. (QLYS) are both in the Information Technology sector. QLYS currently leads with a composite score of 7.5/10 (Strong Buy) compared to GEN's 7.3/10 (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