AlphaStocks

BABA vs VAL

As of Sep 20, 2026, Alibaba Group Holding (BABA) scores 2.6/10 and Valaris (VAL) 4.6/10 on AlphaStocks' five-model composite, so VAL scores higher. BABA trades 30% below its model fair value.

BABA

Alibaba Group Holding Ltd

2.6

Avoid

$113.26

VAL

Valaris Ltd

4.6

Weak

$83.77

BABA vs VAL: Which is the Better Investment?

Alibaba Group Holding Ltd (BABA) scores 2.6/10 while Valaris Ltd (VAL) scores 4.6/10 on AlphaStocks' composite model. Valaris Ltd 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.

MetricBABAVAL
Scores & Fundamentals
Composite Score2.6/104.6/10
RatingAvoidWeak
Price$113.26$83.77
P/E Ratio21.06.0
ROE10.0%35.0%
Market Cap$2.2T$6B
Fair Value$161.09
Dividend Yield1.6%
Sector Rank#194 of 205#37 of 80
Model Verdicts
PiotroskiNeutralStrong
BuffettNeutralAttractive
GrahamCautionNeutral
LynchNeutralNeutral
GreenblattLimited DataAttractive
View full BABAanalysis →View full VALanalysis →

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BABA vs VAL: Which Stock Scores Higher?

Alibaba Group Holding Ltd (BABA) is in the Information Technology sector; Valaris Ltd (VAL) is in Energy. VAL currently leads with a composite score of 4.6/10 (Weak) compared to BABA's 2.6/10 (Avoid).

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