AlphaStocks

JLL vs VAL

As of Sep 20, 2026, Jones Lang Lasalle (JLL) scores 6.4/10 and Valaris (VAL) 4.6/10 on AlphaStocks' five-model composite, so JLL scores higher. JLL trades 8% below its model fair value.

JLL

JONES LANG LASALLE INC

6.4

Consider Buy

$336.30

VAL

Valaris Ltd

4.6

Weak

$83.77

JLL vs VAL: Which is the Better Investment?

JONES LANG LASALLE INC (JLL) scores 6.4/10 while Valaris Ltd (VAL) scores 4.6/10 on AlphaStocks' composite model. JONES LANG LASALLE 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.

MetricJLLVAL
Scores & Fundamentals
Composite Score6.4/104.6/10
RatingConsider BuyWeak
Price$336.30$83.77
P/E Ratio20.56.0
ROE10.8%35.0%
Market Cap$16B$6B
Fair Value$365.73
Dividend Yield
Sector Rank#11 of 104#37 of 80
Model Verdicts
PiotroskiStrongStrong
BuffettAttractiveAttractive
GrahamCautionNeutral
LynchNeutralNeutral
GreenblattAttractiveAttractive
View full JLLanalysis →View full VALanalysis →

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JLL vs VAL: Which Stock Scores Higher?

JONES LANG LASALLE INC (JLL) is in the Real Estate sector; Valaris Ltd (VAL) is in Energy. JLL currently leads with a composite score of 6.4/10 (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