Autonation (AN) EBITDA (2010 - 2026)
Autonation (AN) posted EBITDA of $382.5 million for Q2 2026, up 35.9% from $281.5 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Autonation (AN) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Autonation was $1.57 billion, up 5.3% year-over-year; for FY2025, it was $1.49 billion, down 3.6% from FY2024.
- Annual EBITDA has declined for three consecutive years, though with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, Autonation's EBITDA was $1.55 billion in FY2024 (-17.4%), $1.87 billion in FY2023 (-15.8%), $2.22 billion in FY2022 (+6.1%) and $2.1 billion in FY2021 (+175.0%).
- Quarterly EBITDA has run from a low of $281.5 million in Q2 2025 to a high of $606.9 million in Q2 2022 over five years.
- On a year-over-year basis, EBITDA increased in two of the last eight quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 70.3%; the weakest was Q2 2024, with a decline of 32.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $377.3 million (Q1 2026), $375.4 million (Q4 2025) and $436.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,831.33 Bn | 2,348.03 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.41 Bn | 305.65 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.77 Bn | 140.31 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 111.30 Bn | 104.27 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.86 Bn | 58.79 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.04 Bn | 73.12 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.55 Bn | 65.14 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.90 Bn | 50.80 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 42.35 Bn | 32.84 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Autonation | 5.38 Bn | 5.10 Bn | 1.23 Bn | 385.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 385.30 Mn |
| Mar 31, 2026 | 380.10 Mn |
| Dec 31, 2025 | 377.70 Mn |
| Sep 30, 2025 | 438.90 Mn |
| Jun 30, 2025 | 283.50 Mn |
| Mar 31, 2025 | 399.80 Mn |
| Dec 31, 2024 | 402.60 Mn |
| Sep 30, 2024 | 414.40 Mn |
| Jun 30, 2024 | 337.20 Mn |
| Mar 31, 2024 | 400.90 Mn |
| Dec 31, 2023 | 409.90 Mn |
| Sep 30, 2023 | 477.40 Mn |
| Jun 30, 2023 | 496.10 Mn |
| Mar 31, 2023 | 498.60 Mn |
| Dec 31, 2022 | 479.00 Mn |
| Sep 30, 2022 | 574.10 Mn |
| Jun 30, 2022 | 608.50 Mn |
| Mar 31, 2022 | 570.40 Mn |
| Dec 31, 2021 | 583.70 Mn |
| Sep 30, 2021 | 552.20 Mn |
API Access
Autonation EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda&ticker=AN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=AN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();