AlphaStocks

SABR vs TNL

As of Sep 20, 2026, Sabre (SABR) scores 6.8/10 and Travel & Leisure (TNL) 3.6/10 on AlphaStocks' five-model composite, so SABR scores higher. TNL trades 32% below its model fair value.

SABR

Sabre Corp

6.8

Consider Buy

$2.25

TNL

Travel & Leisure Co.

3.6

Weak

$63.17

SABR vs TNL: Which is the Better Investment?

Sabre Corp (SABR) scores 6.8/10 while Travel & Leisure Co. (TNL) scores 3.6/10 on AlphaStocks' composite model. Sabre Corp has the higher composite rating of Consider Buy. On a P/E basis, Sabre Corp trades at 1.7x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricSABRTNL
Scores & Fundamentals
Composite Score6.8/103.6/10
RatingConsider BuyWeak
Price$2.25$63.17
P/E Ratio1.718.4
ROE-14.0%-25.5%
Market Cap$892.5M$4B
Fair Value$92.51
Dividend Yield3.0%
Sector Rank#20 of 194#149 of 194
Model Verdicts
PiotroskiNeutralAttractive
BuffettNeutralNeutral
GrahamNeutralLimited Data
LynchStrongNeutral
GreenblattAttractiveNeutral
View full SABRanalysis →View full TNLanalysis →

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SABR vs TNL: Which Stock Scores Higher?

Sabre Corp (SABR) and Travel & Leisure Co. (TNL) are both in the Consumer Discretionary sector. SABR currently leads with a composite score of 6.8/10 (Consider Buy) compared to TNL's 3.6/10 (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