As leading players in the U.S. automotive retail sector, ABG and AN offer investors exposure to dealership operations amid challenges like elevated interest rates, shifting consumer preferences toward electric vehicles, and fluctuating new vehicle inventories. This stock comparison analyzes their recent performance, financial metrics, and market positioning to aid value-oriented investors and short-term traders evaluating relative strength in a cyclical industry. With both companies reporting solid full-year 2025 results, understanding their trajectories helps contextualize opportunities in auto retail's evolving landscape.
Asbury Automotive Group (ABG) operates a network of dealerships across the southeastern and midwestern U.S., focusing on new and used vehicle sales, parts, and service. In recent quarters, the company achieved record full-year 2025 revenue of $18 billion, driven by acquisitions like Herb Chambers, which enhanced revenue and margins. Stock performance has reflected positive sentiment from these developments, with shares rising about 10-13% in recent weeks amid broader market recovery. Factors influencing this include quarterly revenue growth of 3.8% year-over-year and a boosted stock repurchase program to $400 million, supporting price stability despite sector headwinds.
AutoNation (AN), the largest U.S. automotive retailer, manages over 300 locations nationwide, emphasizing new/used sales, finance, and after-sales services. Recent full-year results featured adjusted EPS of $20.22 and record Q4 after-sales gross profit with 4% same-store growth. Shares have climbed around 14% in recent weeks, buoyed by strong aftermarket performance and analyst coverage, though quarterly revenue dipped 3.9% year-over-year. Sentiment has been shaped by resilient profitability in a high-rate environment and anticipation for Q1 2026 earnings, with the stock trading near recent highs.
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Both ABG and AN thrive in automotive retail but differ in scale and efficiency: AN's vast network drives higher revenue ($27.6 billion vs. $18 billion) and ROE, yet at pricier multiples (P/B 3.05 vs. 1.05) and elevated debt levels. Growth drivers contrast with ABG's recent acquisitions fueling positive revenue momentum, while AN leans on after-sales resilience. Risk profiles show ABG's lower leverage and beta (0.80 vs. 0.81) offering stability, amid similar sector exposures to interest rates and inventory cycles. Market sentiment favors AN's size for downside protection, but ABG's value metrics attract bargain hunters in recent trading.
Tickeron's AI models currently lean toward ABG with higher probability in the near term, owing to its attractive valuation (forward P/E 7.99), positive revenue growth, and prudent debt management amid recent upward momentum. While AN offers scale advantages, ABG's relative positioning suggests stronger trend consistency and catalyst potential in the current environment.
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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).
ABG’s FA Score shows that 0 FA rating(s) are green whileAN’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.
ABG’s TA Score shows that 6 TA indicator(s) are bullish while AN’s TA Score has 5 bullish TA indicator(s).
ABG (@Automotive Aftermarket) experienced а -1.68% price change this week, while AN (@Automotive Aftermarket) price change was -2.63% for the same time period.
The average weekly price growth across all stocks in the @Automotive Aftermarket industry was -1.89%. For the same industry, the average monthly price growth was -1.89%, and the average quarterly price growth was -21.08%.
ABG is expected to report earnings on Jul 28, 2026.
AN is expected to report earnings on Jul 16, 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).
| ABG | AN | ABG / AN | |
| Capitalization | 3.65B | 6.3B | 58% |
| EBITDA | 1.11B | 1.64B | 68% |
| Gain YTD | -15.624 | -8.805 | 177% |
| P/E Ratio | 6.94 | 10.21 | 68% |
| Revenue | 18B | 27.5B | 65% |
| Total Cash | 27.5M | 65.5M | 42% |
| Total Debt | 5.43B | 10.5B | 52% |
ABG | AN | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 38 | 84 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 60 Fair valued | 68 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 30 | |
SMR RATING 1..100 | 59 | 34 | |
PRICE GROWTH RATING 1..100 | 54 | 54 | |
P/E GROWTH RATING 1..100 | 88 | 65 | |
SEASONALITY SCORE 1..100 | 50 | 90 |
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.
ABG's Valuation (60) in the Specialty Stores industry is in the same range as AN (68). This means that ABG’s stock grew similarly to AN’s over the last 12 months.
AN's Profit vs Risk Rating (30) in the Specialty Stores industry is significantly better than the same rating for ABG (100). This means that AN’s stock grew significantly faster than ABG’s over the last 12 months.
AN's SMR Rating (34) in the Specialty Stores industry is in the same range as ABG (59). This means that AN’s stock grew similarly to ABG’s over the last 12 months.
AN's Price Growth Rating (54) in the Specialty Stores industry is in the same range as ABG (54). This means that AN’s stock grew similarly to ABG’s over the last 12 months.
AN's P/E Growth Rating (65) in the Specialty Stores industry is in the same range as ABG (88). This means that AN’s stock grew similarly to ABG’s over the last 12 months.
| ABG | AN | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 88% | 2 days ago 70% |
| Stochastic ODDS (%) | 2 days ago 72% | 2 days ago 73% |
| Momentum ODDS (%) | 2 days ago 75% | 2 days ago 67% |
| MACD ODDS (%) | 2 days ago 82% | 2 days ago 73% |
| TrendWeek ODDS (%) | 2 days ago 69% | 2 days ago 66% |
| TrendMonth ODDS (%) | 2 days ago 66% | 2 days ago 66% |
| Advances ODDS (%) | 8 days ago 70% | 8 days ago 67% |
| Declines ODDS (%) | 23 days ago 71% | 16 days ago 61% |
| BollingerBands ODDS (%) | 2 days ago 80% | N/A |
| Aroon ODDS (%) | 2 days ago 60% | 2 days ago 63% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| WCMI | 19.91 | 0.22 | +1.12% |
| First Trust WCM International Equity ETF | |||
| BFOC | 16.95 | 0.09 | +0.56% |
| FT Vest Bitcoin Strat Floor15 ETF - Oct | |||
| LVHI | 40.66 | 0.11 | +0.27% |
| Franklin Intl Low Volatility Hi Div ETF | |||
| SPUC | 49.42 | -0.12 | -0.24% |
| Simplify US Equity PLUS Upsd Cnvxty ETF | |||
| HAPI | 44.06 | -0.26 | -0.59% |
| Harbor Human Capital Factor US LrgCapETF | |||
A.I.dvisor indicates that over the last year, ABG has been closely correlated with PAG. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if ABG jumps, then PAG could also see price increases.
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.