AlphaStocks

EXPE vs VAL

As of Sep 20, 2026, Expedia Group (EXPE) scores 6.9/10 and Valaris (VAL) 4.6/10 on AlphaStocks' five-model composite, so EXPE scores higher. EXPE trades 4% above its model fair value.

EXPE

Expedia Group, Inc.

6.9

Consider Buy

$279.40

VAL

Valaris Ltd

4.6

Weak

$83.77

EXPE vs VAL: Which is the Better Investment?

Expedia Group, Inc. (EXPE) scores 6.9/10 while Valaris Ltd (VAL) scores 4.6/10 on AlphaStocks' composite model. Expedia Group, Inc. has the higher composite rating of Consider Buy. 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.

MetricEXPEVAL
Scores & Fundamentals
Composite Score6.9/104.6/10
RatingConsider BuyWeak
Price$279.40$83.77
P/E Ratio28.36.0
ROE99.3%35.0%
Market Cap$34B$6B
Fair Value$267.45
Dividend Yield0.6%
Sector Rank#16 of 194#37 of 80
Model Verdicts
PiotroskiStrongStrong
BuffettStrongAttractive
GrahamCautionNeutral
LynchNeutralNeutral
GreenblattAttractiveAttractive
View full EXPEanalysis →View full VALanalysis →

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EXPE vs VAL: Which Stock Scores Higher?

Expedia Group, Inc. (EXPE) is in the Consumer Discretionary sector; Valaris Ltd (VAL) is in Energy. EXPE currently leads with a composite score of 6.9/10 (Consider Buy) 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