AlphaStocks

MXL vs QRVO

As of Sep 20, 2026, Maxlinear (MXL) scores 5.2/10 and Qorvo (QRVO) 7.4/10 on AlphaStocks' five-model composite, so QRVO scores higher. MXL trades 80% above its model fair value; QRVO trades 12% below its model fair value.

MXL

MAXLINEAR, INC

5.2

Consider Buy

$81.24

QRVO

Qorvo, Inc.

7.4

Consider Buy

$117.22

MXL vs QRVO: Which is the Better Investment?

MAXLINEAR, INC (MXL) scores 5.2/10 while Qorvo, Inc. (QRVO) scores 7.4/10 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.

MetricMXLQRVO
Scores & Fundamentals
Composite Score5.2/107.4/10
RatingConsider BuyConsider Buy
Price$81.24$117.22
P/E Ratio32.4
ROE-14.4%9.6%
Market Cap$7B$11B
Fair Value$45.07$133.79
Dividend Yield
Sector Rank#112 of 205#16 of 205
Model Verdicts
PiotroskiAttractiveStrong
BuffettCautionStrong
GrahamCautionCaution
LynchAttractiveNeutral
GreenblattCautionStrong
View full MXLanalysis →View full QRVOanalysis →

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MXL vs QRVO: Which Stock Scores Higher?

MAXLINEAR, INC (MXL) 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 MXL's 5.2/10 (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