AlphaStocks

CRUS vs QRVO

As of Sep 20, 2026, Cirrus Logic (CRUS) scores 4.5/10 and Qorvo (QRVO) 7.4/10 on AlphaStocks' five-model composite, so QRVO scores higher. QRVO trades 12% below its model fair value.

CRUS

CIRRUS LOGIC, INC.

4.5

Weak

$118.84

QRVO

Qorvo, Inc.

7.4

Consider Buy

$117.22

CRUS vs QRVO: Which is the Better Investment?

CIRRUS LOGIC, INC. (CRUS) scores 4.5/10 while Qorvo, Inc. (QRVO) scores 7.4/10 on AlphaStocks' composite model. Qorvo, Inc. has the higher composite rating of Consider Buy. On a P/E basis, CIRRUS LOGIC, INC. trades at 15.2x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCRUSQRVO
Scores & Fundamentals
Composite Score4.5/107.4/10
RatingWeakConsider Buy
Price$118.84$117.22
P/E Ratio15.232.4
ROE19.6%9.6%
Market Cap$6B$11B
Fair Value$133.79
Dividend Yield
Sector Rank#147 of 205#16 of 205
Model Verdicts
PiotroskiStrongStrong
BuffettStrongStrong
GrahamCautionCaution
LynchAttractiveNeutral
GreenblattLimited DataStrong
View full CRUSanalysis →View full QRVOanalysis →

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CRUS vs QRVO: Which Stock Scores Higher?

CIRRUS LOGIC, INC. (CRUS) and Qorvo, Inc. (QRVO) are both in the Information Technology sector. QRVO currently leads with a composite score of 7.4/10 (Consider Buy) compared to CRUS's 4.5/10 (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