AutoNation (AN) and Penske Automotive Group (PAG) represent two leading players in the automotive retail industry, making them relevant for investors seeking exposure to dealership operations, vehicle sales, and after-sales services. This comparison examines their business models, recent performance trends, and market positioning to assist traders and portfolio managers evaluating sector peers. The analysis draws on observable data from financial filings and market activity over recent periods, providing context for those monitoring cyclical consumer discretionary stocks amid evolving economic conditions.
AutoNation, Inc. (AN) is a major U.S. automotive retailer operating new and used vehicle dealerships along with service and parts operations. In the first quarter of 2026, the company reported revenue of $6.6 billion, a 2% decline year-over-year, while adjusted earnings per share remained stable at $4.69. Management highlighted record after-sales gross profit and continued share repurchases totaling $300 million in the quarter. Recent market activity shows AN shares trading around $195, with year-to-date returns of approximately 5% as of early July 2026, reflecting moderated momentum amid broader sector dynamics and focus on cost management.
Penske Automotive Group, Inc. (PAG) operates a diversified network of automotive and commercial truck dealerships across the United States and select international markets. For the first quarter of 2026, the company posted revenue near $7.9 billion with adjusted earnings per share of $3.05. Growth in service and parts revenue provided a positive offset to vehicle sales pressures. As of early July 2026, PAG shares traded around $194, delivering stronger year-to-date performance of approximately 25% compared to the prior period, supported by sequential improvements in retail gross profit per unit and upcoming second-quarter results scheduled for late July.
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Both AN and PAG share exposure to automotive retail cyclicality, yet differ in scale and diversification. AN maintains a primarily domestic focus with emphasis on share repurchases to enhance shareholder value, while PAG benefits from international operations and commercial truck segments that can provide additional revenue streams. Recent momentum favors PAG on a year-to-date basis, though both have navigated similar headwinds in new vehicle sales. Risk factors include sensitivity to interest rates, fuel prices, and inventory levels. Sector sentiment reflects cautious optimism around service revenue resilience amid variable consumer demand.
Based on observable factors such as relative year-to-date performance consistency, service revenue stability, and upcoming earnings visibility, Tickeron’s AI would currently assign a probabilistic edge to PAG in trend alignment and positioning. This assessment remains subject to evolving market data and does not constitute a definitive ranking.
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It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
AN’s FA Score shows that 1 FA rating(s) are green whilePAG’s FA Score has 1 green FA rating(s).
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
AN’s TA Score shows that 5 TA indicator(s) are bullish while PAG’s TA Score has 5 bullish TA indicator(s).
AN (@Automotive Aftermarket) experienced а +1.42% price change this week, while PAG (@Automotive Aftermarket) price change was +5.34% for the same time period.
The average weekly price growth across all stocks in the @Automotive Aftermarket industry was +0.32%. For the same industry, the average monthly price growth was +3.58%, and the average quarterly price growth was -19.86%.
AN is expected to report earnings on Jul 16, 2026.
PAG is expected to report earnings on Jul 29, 2026.
The Automotive Aftermarket consists of the manufacturing, remanufacturing, distribution, retailing, and installation of vehicle parts and accessories, after the sale of the automobile by the original equipment manufacturer (OEM) to the consumer. The aftermarket parts many not be manufactured by the OEM. According to a Technavio study, the US automotive parts aftermarket size is estimated to grow by USD 24.33 billion during 2018-2022 (CAGR 3%). Like many other industries, the automotive aftermarket is also being intensely penetrated by the digital boom. The online auto parts sales market is predicted to exceed $13B by 2020 (according to a study by Mirakl).
| AN | PAG | AN / PAG | |
| Capitalization | 6.47B | 12.7B | 51% |
| EBITDA | 1.64B | 1.68B | 97% |
| Gain YTD | -6.320 | 24.203 | -26% |
| P/E Ratio | 10.49 | 13.97 | 75% |
| Revenue | 27.5B | 31.7B | 87% |
| Total Cash | 65.5M | 83.7M | 78% |
| Total Debt | 10.5B | 9.21B | 114% |
AN | PAG | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 21 | 22 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 70 Overvalued | 52 Fair valued | |
PROFIT vs RISK RATING 1..100 | 25 | 13 | |
SMR RATING 1..100 | 34 | 53 | |
PRICE GROWTH RATING 1..100 | 59 | 43 | |
P/E GROWTH RATING 1..100 | 70 | 42 | |
SEASONALITY SCORE 1..100 | 50 | 75 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
PAG's Valuation (52) in the Specialty Stores industry is in the same range as AN (70). This means that PAG’s stock grew similarly to AN’s over the last 12 months.
PAG's Profit vs Risk Rating (13) in the Specialty Stores industry is in the same range as AN (25). This means that PAG’s stock grew similarly to AN’s over the last 12 months.
AN's SMR Rating (34) in the Specialty Stores industry is in the same range as PAG (53). This means that AN’s stock grew similarly to PAG’s over the last 12 months.
PAG's Price Growth Rating (43) in the Specialty Stores industry is in the same range as AN (59). This means that PAG’s stock grew similarly to AN’s over the last 12 months.
PAG's P/E Growth Rating (42) in the Specialty Stores industry is in the same range as AN (70). This means that PAG’s stock grew similarly to AN’s over the last 12 months.
| AN | PAG | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 76% |
| Stochastic ODDS (%) | 1 day ago 71% | 1 day ago 63% |
| Momentum ODDS (%) | 1 day ago 67% | 1 day ago 64% |
| MACD ODDS (%) | 1 day ago 78% | 1 day ago 65% |
| TrendWeek ODDS (%) | 1 day ago 68% | 1 day ago 67% |
| TrendMonth ODDS (%) | 1 day ago 61% | 1 day ago 62% |
| Advances ODDS (%) | 4 days ago 66% | 4 days ago 70% |
| Declines ODDS (%) | 13 days ago 61% | 13 days ago 58% |
| BollingerBands ODDS (%) | N/A | 1 day ago 55% |
| Aroon ODDS (%) | 1 day ago 59% | 1 day ago 58% |
| 1 Day | |||
|---|---|---|---|
| CRYPTO / NAME | Price $ | Chg $ | Chg % |
| KMD.X | 0.133256 | 0.126626 | +1909.77% |
| Komodo cryptocurrency | |||
| CAKE.X | 1.397801 | -0.004193 | -0.30% |
| PancakeSwap cryptocurrency | |||
| CKB.X | 0.000883 | -0.000025 | -2.70% |
| Nervos Network cryptocurrency | |||
| MLN.X | 1.304054 | -0.060766 | -4.45% |
| Enzyme cryptocurrency | |||
| SXP.X | 0.000094 | -0.000106 | -53.04% |
| Solar cryptocurrency | |||
A.I.dvisor indicates that over the last year, AN has been closely correlated with PAG. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if AN jumps, then PAG could also see price increases.