AlphaStocks

CRM vs DLB

As of Sep 20, 2026, Salesforce (CRM) scores 7.7/10 and Dolby Laboratories (DLB) 4.0/10 on AlphaStocks' five-model composite, so CRM scores higher. CRM trades 28% below its model fair value.

CRM

Salesforce, Inc.

7.7

Strong Buy

$237.91

DLB

Dolby Laboratories, Inc.

4.0

Weak

$57.63

CRM vs DLB: Which is the Better Investment?

Salesforce, Inc. (CRM) scores 7.7/10 while Dolby Laboratories, Inc. (DLB) scores 4.0/10 on AlphaStocks' composite model. Salesforce, Inc. has the higher composite rating of Strong Buy. On a P/E basis, Dolby Laboratories, Inc. trades at 22.0x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCRMDLB
Scores & Fundamentals
Composite Score7.7/104.0/10
RatingStrong BuyWeak
Price$237.91$57.63
P/E Ratio30.522.0
ROE10.9%9.8%
Market Cap$207B$6B
Fair Value$331.88
Dividend Yield1.0%2.6%
Sector Rank#7 of 205#166 of 205
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongNeutral
GrahamCautionNeutral
LynchStrongNeutral
GreenblattNeutralLimited Data
View full CRManalysis →View full DLBanalysis →

Related comparisons

Compare any two stocks →

CRM vs DLB: Which Stock Scores Higher?

Salesforce, Inc. (CRM) and Dolby Laboratories, Inc. (DLB) are both in the Information Technology sector. CRM currently leads with a composite score of 7.7/10 (Strong Buy) compared to DLB's 4.0/10 (Weak).

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