AlphaStocks

FBIN vs VAL

As of Sep 20, 2026, Fortune Brands Innovations (FBIN) scores 4.8/10 and Valaris (VAL) 4.6/10 on AlphaStocks' five-model composite, so FBIN scores higher. FBIN trades 37% below its model fair value.

FBIN

Fortune Brands Innovations, Inc.

4.8

Weak

$39.43

VAL

Valaris Ltd

4.6

Weak

$83.77

FBIN vs VAL: Which is the Better Investment?

Fortune Brands Innovations, Inc. (FBIN) scores 4.8/10 while Valaris Ltd (VAL) scores 4.6/10 on AlphaStocks' composite model. Fortune Brands Innovations, Inc. has the higher composite rating of Weak. On a P/E basis, Valaris Ltd trades at 6.0x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricFBINVAL
Scores & Fundamentals
Composite Score4.8/104.6/10
RatingWeakWeak
Price$39.43$83.77
P/E Ratio16.06.0
ROE-7.4%35.0%
Market Cap$5B$6B
Fair Value$63.07
Dividend Yield1.9%
Sector Rank#125 of 265#37 of 80
Model Verdicts
PiotroskiStrongStrong
BuffettNeutralAttractive
GrahamNeutralNeutral
LynchNeutralNeutral
GreenblattAttractiveAttractive
View full FBINanalysis →View full VALanalysis →

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FBIN vs VAL: Which Stock Scores Higher?

Fortune Brands Innovations, Inc. (FBIN) is in the Industrials sector; Valaris Ltd (VAL) is in Energy. FBIN currently leads with a composite score of 4.8/10 (Weak) compared to VAL's 4.6/10 (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