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PAG

Penske Automotive Group, Inc. Consumer Cyclical As of 2026-07-28 Updated daily after market close

quality needs a look, fair valuation.

2 active signals
52-week adjusted-price high Top-quintile 6-month momentum
This page refreshes daily after the close. Add Penske Automotive Group, Inc. to your watchlist to track signal changes on your next visit.
Valuation 45Quality 56Growth 52Momentum 76Risk / liquidity 74

Is Penske Automotive Group, Inc. a buy? Fundamentals and valuation first

  • Quality is weaker than peers. Operating margin is only around the 44th percentile. TTM ROE is about 16.8%.

  • Valuation is middle-of-pack. TTM P/E is near the 66th percentile.

  • Recent volatility is moderate. 60-day annualized volatility is near the 37th percentile. Average 20-day dollar volume is about $96.2M.

  • Signals are active now. 52-week adjusted-price high, Top-quintile 6-month momentum currently holds; the tables below show what followed in this stock’s own history.

Historical evidence

Signals active now

Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.

52-week adjusted-price high

Active

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

18 historical occurrences (since 2018-01-26)
Average forward return after 52-week adjusted-price high。20-day: Win 41.2%, Sample 17, Median -0.84%, Excess -1.89%, Beat mkt rate 35.3%；60-day: Win 52.9%, Sample 17, Median +0.56%, Excess -1.78%, Beat mkt rate 47.1%；120-day: Win 47.1%, Sample 17, Median -0.45%, Excess +1.2%, Beat mkt rate 52.9%

120 days after: historical avg +4.95%

20-day -1.84%
60-day -0.53%
120-day +4.95%
20-day
60-day
120-day
Win
41.2%
52.9%
47.1%
Sample
17
17
17
Median
-0.84%
+0.56%
-0.45%
Excess
-1.89%
-1.78%
+1.2%
Beat mkt rate
35.3%
47.1%
52.9%

Over 17 occurrences, 120-day forward avg gained 4.95%, beat the market by 1.2 pts; win rate 47.1%.

Top-quintile 6-month momentum

Active · now 85.95744680851064%

The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.

20 historical occurrences (since 2016-09-13)
Average forward return after Top-quintile 6-month momentum。20-day: Win 57.9%, Sample 19, Median +1.9%, Excess +1.08%, Beat mkt rate 57.9%；60-day: Win 73.7%, Sample 19, Median +4.43%, Excess +4.28%, Beat mkt rate 52.6%；120-day: Win 63.2%, Sample 19, Median +4.71%, Excess +5.43%, Beat mkt rate 63.2%

120 days after: historical avg +10.46%

20-day +1.86%
60-day +8.86%
120-day +10.46%
20-day
60-day
120-day
Win
57.9%
73.7%
63.2%
Sample
19
19
19
Median
+1.9%
+4.43%
+4.71%
Excess
+1.08%
+4.28%
+5.43%
Beat mkt rate
57.9%
52.6%
63.2%

Over 19 occurrences, 120-day forward avg gained 10.46%, beat the market by 5.43 pts; win rate 63.2%.

Valuation regime and forward returns

Daily TTM P/E is converted into an expanding own-history percentile, then grouped into five valuation regimes. Forward returns use adjusted prices over the next 240 trading days.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 177+65.9% +46.7% 100% +49.9%
20-40 262+37% +23.1% 95% +33.3%
40-60 233+26.1% +8.8% 90.1% +9.5%
60-80 312+17.8% +5.4% 67.3% -2.1%
80-100 You are here393+22.9% +9.7% 77.1% +4.7%

Quarterly EPS is aligned by SEC filing date before it is forward-filled to daily prices. The expanding percentile uses only information available up to each day.

Current TTM P/E is about 15.32, placing it in the 100.0 own-history percentile, inside the 80-100 bucket.

Valuation × momentum analogs

Each historical day is grouped by own-history P/E tercile and 60-day momentum direction, then tested for the next 120-trading-day adjusted return.

Valuation
Momentum
Cheap (own-history bottom third)
Middle
Expensive (own-history top third)
60-day momentum up
+13.9%
Win rate 90.8% Excess +15.4%
217d
+13%
Win rate 64.4% Excess +3.8%
239d
Now
+13.2%
Win rate 61.9% Excess +3.1%
462d
60-day momentum down
+32%
Win rate 98.8% Excess +28%
160d
+17%
Win rate 81% Excess +3.6%
163d
+6.2%
Win rate 73.8% Excess -2.5%
256d

Currently in “Expensive (own-history top third) × 60-day momentum up”: across 462 historical days, 120-day forward avg gained 13.2%, win rate 61.9%, beat the market by 3.1%.

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

Market-wide momentum baseline

Across 97,234 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.30%, a 58.2% positive-return rate, and +2.94 percentage points of average excess return versus the S&P 500.

Baseline: weekly samples since 2016 where a liquid US common stock ranked in the top quintile by 126-trading-day momentum. Forward return is 60 trading days; excess return is versus S&P 500 (^GSPC).

Signals not active now

Inactive signals still show the stock-specific historical forward-return distribution for context.

Filed revenue acceleration

Pending

TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.

5 times historically; 60-day forward avg +5.91%, win rate 60%, beating the market by +9.74 pts on average.

EPS surprise beat

Pending

Reported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.

17 times historically; 60-day forward avg +4.78%, win rate 53.3%, beating the market by +4.46 pts on average.

Method and limits

  • Returns use us_price:adj_close, adjusted for splits and dividends where available.
  • Excess returns use world_index:^GSPC as the S&P 500 benchmark proxy.
  • Quarterly fundamentals are aligned to SEC filing dates before daily valuation studies.
  • The promoted universe starts from active NYSE/NASDAQ common stocks, then applies price and dollar-volume gates.
  • Snapshot-only tables such as analyst consensus, DCF, us_ratios, and us_key_metrics are intentionally excluded from historical evidence.
  • Overlapping event windows are descriptive distributions, not independent samples.

This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.