AlphaStocks

ALV vs THRM

As of Sep 20, 2026, Autoliv (ALV) scores 6.7/10 and Gentherm (THRM) 6.4/10 on AlphaStocks' five-model composite, so ALV scores higher. THRM trades 101% above its model fair value.

ALV

AUTOLIV INC

6.7

Consider Buy

$117.01

THRM

Gentherm Inc

6.4

Consider Buy

$36.38

ALV vs THRM: Which is the Better Investment?

AUTOLIV INC (ALV) scores 6.7/10 while Gentherm Inc (THRM) scores 6.4/10 on AlphaStocks' composite model. AUTOLIV INC has the higher composite rating of Consider Buy. On a P/E basis, AUTOLIV INC trades at 12.2x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricALVTHRM
Scores & Fundamentals
Composite Score6.7/106.4/10
RatingConsider BuyConsider Buy
Price$117.01$36.38
P/E Ratio12.261.5
ROE28.7%2.5%
Market Cap$9B$1B
Fair Value$18.07
Dividend Yield2.6%
Sector Rank#23 of 194#32 of 194
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamNeutralCaution
LynchNeutralNeutral
GreenblattStrongStrong
View full ALVanalysis →View full THRManalysis →

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ALV vs THRM: Which Stock Scores Higher?

AUTOLIV INC (ALV) and Gentherm Inc (THRM) are both in the Consumer Discretionary sector. ALV currently leads with a composite score of 6.7/10 (Consider Buy) compared to THRM's 6.4/10 (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