AlphaStocks

ALV vs PATK

As of Sep 21, 2026, Autoliv (ALV) scores 6.7/10 and Patrick Industries (PATK) 3.7/10 on AlphaStocks' five-model composite, so ALV scores higher. PATK trades 23% below its model fair value.

ALV

AUTOLIV INC

6.7

Consider Buy

$117.01

PATK

PATRICK INDUSTRIES INC

3.7

Weak

$68.71

ALV vs PATK: Which is the Better Investment?

AUTOLIV INC (ALV) scores 6.7/10 while PATRICK INDUSTRIES INC (PATK) scores 3.7/10 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.

MetricALVPATK
Scores & Fundamentals
Composite Score6.7/103.7/10
RatingConsider BuyWeak
Price$117.01$68.71
P/E Ratio12.217.6
ROE28.7%11.5%
Market Cap$9B$2B
Fair Value$88.91
Dividend Yield2.6%1.9%
Sector Rank#24 of 194#144 of 194
Model Verdicts
PiotroskiStrongStrong
BuffettStrongAttractive
GrahamNeutralNeutral
LynchNeutralNeutral
GreenblattStrongStrong
View full ALVanalysis →View full PATKanalysis →

Related comparisons

Compare any two stocks →

ALV vs PATK: Which Stock Scores Higher?

AUTOLIV INC (ALV) and PATRICK INDUSTRIES INC (PATK) are both in the Consumer Discretionary sector. ALV currently leads with a composite score of 6.7/10 (Consider Buy) compared to PATK's 3.7/10 (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