AN Stock Summary and Trading Ideas (Autonation | NYSE:AN)

AutoNation is the second largest automotive dealer in the United States, with 2023 revenue of about $27 billion and over 250 dealerships, plus 53 collision centers. The firm also has 19 AutoNation USA used-vehicle stores, a captive lender, four auction sites, and three parts distributors all across 21 states primarily in Sunbelt metropolitan areas. New-vehicle sales account for nearly half of revenue; the company also sells used vehicles, parts, and repair services as well as auto financing. The company (formerly Republic Industries) spun off its waste management unit (Republic Services) in 1999 and its car rental businesses (ANC Rental) in 2000. Wayne Huizenga founded the company in the 1990s to bring the rollup acquisition strategy to auto retailing, which has proved to be a smart move.

Autonation trades on the NYSE stock market under the symbol AN.

As of April 17, 2024, AN stock price declined to $152.33 with 664,233 million shares trading.

AN has a beta of 1.12, meaning it tends to be more sensitive to market movements. AN has a correlation of 0.17 to the broad based SPY ETF.

AN has a market cap of $6.35 billion. This is considered a Mid Cap stock.

Last quarter Autonation reported $7 billion in Revenue and $5.02 earnings per share. This beat revenue expectation by $77 million and exceeded earnings estimates by $.08.

In the last 3 years, AN stock traded as high as $182.08 and as low as $88.32.

The top ETF exchange traded funds that AN belongs to (by Net Assets): VTI, VB, IJH, VBR, VXF.

AN has underperformed the market in the last year with a price return of +12.9% while the SPY ETF gained +23.0%. However, in the short term, AN had mixed performance relative to the market. It has outperformed in the last 3 months, returning +10.5% vs +5.7% return in SPY. But in the last 2 weeks, AN shares have been beat by the market, returning -4.7% compared to an SPY return of -3.5%.

AN support price is $151.65 and resistance is $157.55 (based on 1 day standard deviation move). This means that using the most recent 20 day stock volatility and applying a one standard deviation move around the stock's closing price, stastically there is a 67% probability that AN stock will trade within this expected range on the day.