AlphaStocks

SBUX vs VAL

As of Sep 20, 2026, Starbucks (SBUX) scores 4.7/10 and Valaris (VAL) 4.6/10 on AlphaStocks' five-model composite, so SBUX scores higher. SBUX trades 62% above its model fair value.

SBUX

STARBUCKS CORP

4.7

Weak

$95.80

VAL

Valaris Ltd

4.6

Weak

$83.77

SBUX vs VAL: Which is the Better Investment?

STARBUCKS CORP (SBUX) scores 4.7/10 while Valaris Ltd (VAL) scores 4.6/10 on AlphaStocks' composite model. STARBUCKS CORP 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.

MetricSBUXVAL
Scores & Fundamentals
Composite Score4.7/104.6/10
RatingWeakWeak
Price$95.80$83.77
P/E Ratio58.86.0
ROE-23.5%35.0%
Market Cap$110B$6B
Fair Value$59.10
Dividend Yield2.3%
Sector Rank#99 of 194#37 of 80
Model Verdicts
PiotroskiNeutralStrong
BuffettNeutralAttractive
GrahamNeutralNeutral
LynchNeutralNeutral
GreenblattCautionAttractive
View full SBUXanalysis →View full VALanalysis →

Related comparisons

Compare any two stocks →

SBUX vs VAL: Which Stock Scores Higher?

STARBUCKS CORP (SBUX) is in the Consumer Discretionary sector; Valaris Ltd (VAL) is in Energy. SBUX currently leads with a composite score of 4.7/10 (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