Asbury Automotive (ABG) EBITDA (2010 - 2026)
Asbury Automotive's EBITDA came in at $242.5 million for Q2 2026, down 12.3% from $276.4 million a year earlier but up 12.0% from the prior quarter.
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Analysis
Asbury Automotive (ABG) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Asbury Automotive reported EBITDA of $872.1 million, down 16.2% year-over-year; for FY2025, it was $943 million, up 3.6% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- Going back by year, EBITDA was $910.6 million in FY2024 (-10.8%), $1.02 billion in FY2023 (-23.9%), $1.34 billion in FY2022 (+60.9%) and $833.7 million in FY2021 (+103.7%).
- The five-year range for quarterly EBITDA is $118.7 million (Q2 2024) to $353.6 million (Q2 2022).
- Year-over-year, EBITDA has declined for three consecutive quarters, with growth averaging 16.3% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2025 (growth of 132.9%), and the weakest in Q2 2024 (a decline of 61.0%).
- Business Quant data shows ABG's EBITDA at $216.5 million (Q1 2026), $149.3 million (Q4 2025) and $263.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,835.69 Bn | 2,352.39 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 313.56 Bn | 306.80 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.24 Bn | 139.79 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 111.06 Bn | 104.02 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.26 Bn | 58.18 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.19 Bn | 73.28 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.27 Bn | 64.86 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.88 Bn | 50.78 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.24 Bn | 33.73 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Asbury Automotive | 3.13 Bn | 2.99 Bn | 753.10 Mn | 242.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 242.50 Mn |
| Mar 31, 2026 | 216.50 Mn |
| Dec 31, 2025 | 149.30 Mn |
| Sep 30, 2025 | 263.80 Mn |
| Jun 30, 2025 | 276.40 Mn |
| Mar 31, 2025 | 253.50 Mn |
| Dec 31, 2024 | 258.80 Mn |
| Sep 30, 2024 | 251.60 Mn |
| Jun 30, 2024 | 118.70 Mn |
| Mar 31, 2024 | 281.50 Mn |
| Dec 31, 2023 | 141.60 Mn |
| Sep 30, 2023 | 281.80 Mn |
| Jun 30, 2023 | 304.50 Mn |
| Mar 31, 2023 | 293.20 Mn |
| Dec 31, 2022 | 318.00 Mn |
| Sep 30, 2022 | 330.80 Mn |
| Jun 30, 2022 | 354.30 Mn |
| Mar 31, 2022 | 339.10 Mn |
| Dec 31, 2021 | 247.40 Mn |
| Sep 30, 2021 | 211.70 Mn |
API Access
Asbury Automotive 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=ABG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ABG", "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=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();