AlphaStocks

AN vs MUSA

As of Sep 20, 2026, Autonation (AN) scores 6.1/10 and Murphy USA (MUSA) 5.4/10 on AlphaStocks' five-model composite, so AN scores higher. MUSA trades 8% below its model fair value.

AN

AUTONATION, INC.

6.1

Consider Buy

$168.40

MUSA

Murphy USA Inc.

5.4

Consider Buy

$526.19

AN vs MUSA: Which is the Better Investment?

AUTONATION, INC. (AN) scores 6.1/10 while Murphy USA Inc. (MUSA) scores 5.4/10 on AlphaStocks' composite model. AUTONATION, INC. has the higher composite rating of Consider Buy. On a P/E basis, AUTONATION, INC. trades at 9.9x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricANMUSA
Scores & Fundamentals
Composite Score6.1/105.4/10
RatingConsider BuyConsider Buy
Price$168.40$526.19
P/E Ratio9.921.8
ROE11.0%11.5%
Market Cap$6B$10B
Fair Value$571.78
Dividend Yield
Sector Rank#42 of 194#68 of 194
Model Verdicts
PiotroskiAttractiveAttractive
BuffettAttractiveAttractive
GrahamAttractiveCaution
LynchNeutralNeutral
GreenblattStrongAttractive
View full ANanalysis →View full MUSAanalysis →

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AN vs MUSA: Which Stock Scores Higher?

AUTONATION, INC. (AN) and Murphy USA Inc. (MUSA) are both in the Consumer Discretionary sector. AN currently leads with a composite score of 6.1/10 (Consider Buy) compared to MUSA's 5.4/10 (Consider Buy).

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