AlphaStocks

QRVO vs SMTC

As of Sep 20, 2026, Qorvo (QRVO) scores 7.4/10 and Semtech (SMTC) 5.5/10 on AlphaStocks' five-model composite, so QRVO scores higher. QRVO trades 12% below its model fair value; SMTC trades 119% above its model fair value.

QRVO

Qorvo, Inc.

7.4

Consider Buy

$117.22

SMTC

SEMTECH CORP

5.5

Consider Buy

$185.03

QRVO vs SMTC: Which is the Better Investment?

Qorvo, Inc. (QRVO) scores 7.4/10 while SEMTECH CORP (SMTC) scores 5.5/10 on AlphaStocks' composite model. Qorvo, Inc. has the higher composite rating of Consider Buy. Qorvo, Inc. trades further below its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricQRVOSMTC
Scores & Fundamentals
Composite Score7.4/105.5/10
RatingConsider BuyConsider Buy
Price$117.22$185.03
P/E Ratio32.4
ROE9.6%-4.0%
Market Cap$11B$18B
Fair Value$133.79$84.30
Dividend Yield
Sector Rank#16 of 205#95 of 205
Model Verdicts
PiotroskiStrongStrong
BuffettStrongCaution
GrahamCautionCaution
LynchNeutralNeutral
GreenblattStrongCaution
View full QRVOanalysis →View full SMTCanalysis →

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QRVO vs SMTC: Which Stock Scores Higher?

Qorvo, Inc. (QRVO) and SEMTECH CORP (SMTC) are both in the Information Technology sector. QRVO currently leads with a composite score of 7.4/10 (Consider Buy) compared to SMTC's 5.5/10 (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