AlphaStocks

PAG vs RH

As of Sep 20, 2026, Penske Automotive Group (PAG) scores 8.2/10 and RH (RH) 4.0/10 on AlphaStocks' five-model composite, so PAG scores higher. RH trades 6% below its model fair value.

PAG

PENSKE AUTOMOTIVE GROUP, INC.

8.2

Strong Buy

$212.54

RH

RH

4.0

Weak

$126.48

PAG vs RH: Which is the Better Investment?

PENSKE AUTOMOTIVE GROUP, INC. (PAG) scores 8.2/10 while RH (RH) scores 4.0/10 on AlphaStocks' composite model. PENSKE AUTOMOTIVE GROUP, INC. has the higher composite rating of Strong Buy. On a P/E basis, PENSKE AUTOMOTIVE GROUP, INC. trades at 15.0x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricPAGRH
Scores & Fundamentals
Composite Score8.2/104.0/10
RatingStrong BuyWeak
Price$212.54$126.48
P/E Ratio15.020.1
ROE16.6%-5699.9%
Market Cap$14B$2B
Fair Value$134.88
Dividend Yield2.7%
Sector Rank#2 of 194#130 of 194
Model Verdicts
PiotroskiStrongNeutral
BuffettStrongNeutral
GrahamNeutralCaution
LynchAttractiveAttractive
GreenblattStrongAttractive
View full PAGanalysis →View full RHanalysis →

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PAG vs RH: Which Stock Scores Higher?

PENSKE AUTOMOTIVE GROUP, INC. (PAG) and RH (RH) are both in the Consumer Discretionary sector. PAG currently leads with a composite score of 8.2/10 (Strong Buy) compared to RH's 4.0/10 (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