AlphaStocks

CVLT vs FTNT

As of Sep 20, 2026, Commvault Systems (CVLT) scores 5.9/10 and Fortinet (FTNT) 7.9/10 on AlphaStocks' five-model composite, so FTNT scores higher. FTNT trades 96% above its model fair value.

CVLT

COMMVAULT SYSTEMS INC

5.9

Consider Buy

$144.55

FTNT

Fortinet, Inc.

7.9

Strong Buy

$169.85

CVLT vs FTNT: Which is the Better Investment?

COMMVAULT SYSTEMS INC (CVLT) scores 5.9/10 while Fortinet, Inc. (FTNT) scores 7.9/10 on AlphaStocks' composite model. Fortinet, Inc. has the higher composite rating of Strong Buy. On a P/E basis, Fortinet, Inc. trades at 70.1x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCVLTFTNT
Scores & Fundamentals
Composite Score5.9/107.9/10
RatingConsider BuyStrong Buy
Price$144.55$169.85
P/E Ratio91.370.1
ROE4.7%148.0%
Market Cap$6B$126B
Fair Value$86.65
Dividend Yield
Sector Rank#77 of 205#4 of 205
Model Verdicts
PiotroskiAttractiveStrong
BuffettNeutralStrong
GrahamCautionCaution
LynchNeutralAttractive
GreenblattCautionCaution
View full CVLTanalysis →View full FTNTanalysis →

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CVLT vs FTNT: Which Stock Scores Higher?

COMMVAULT SYSTEMS INC (CVLT) and Fortinet, Inc. (FTNT) are both in the Information Technology sector. FTNT currently leads with a composite score of 7.9/10 (Strong Buy) compared to CVLT's 5.9/10 (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