Asbury Automotive (ABG) Operating Income (2010 - 2026)
Asbury Automotive (ABG) posted Operating Income of $219.5 million for Q2 2026, down 14.7% from $257.4 million a year earlier but up 13.2% from the prior quarter.
Asbury Automotive (ABG) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Asbury Automotive was $782.3 million, down 18.8% year-over-year; for FY2025, it came in at $860.6 million, up 3.0% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In prior years, Asbury Automotive's Operating Income was $835.6 million in FY2024 (-12.4%), $953.5 million in FY2023 (-25.1%), $1.27 billion in FY2022 (+60.7%) and $791.8 million in FY2021 (+113.5%).
- Quarterly Operating Income has run from a low of $100.5 million in Q2 2024 to a high of $335.5 million in Q2 2022 over five years.
- On a year-over-year basis, Operating Income has declined in each of the last three quarters, with growth averaging 18.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Income in the past five years was Q2 2025, with growth of 156.1%; the weakest was Q2 2024, with a decline of 65.1%.
- According to Business Quant data, Operating Income for the three prior quarters was $193.9 million (Q1 2026), $126.3 million (Q4 2025) and $242.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 1.10 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 985.75 Mn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 2.56 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 923.76 Mn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 680.00 Mn |
| 10 | Asbury Automotive | 3.11 Bn | 2.97 Bn | 753.10 Mn | 219.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 219.50 Mn |
| Mar 31, 2026 | 193.90 Mn |
| Dec 31, 2025 | 126.30 Mn |
| Sep 30, 2025 | 242.60 Mn |
| Jun 30, 2025 | 257.40 Mn |
| Mar 31, 2025 | 234.30 Mn |
| Dec 31, 2024 | 239.60 Mn |
| Sep 30, 2024 | 232.70 Mn |
| Jun 30, 2024 | 100.50 Mn |
| Mar 31, 2024 | 262.80 Mn |
| Dec 31, 2023 | 124.50 Mn |
| Sep 30, 2023 | 264.70 Mn |
| Jun 30, 2023 | 287.70 Mn |
| Mar 31, 2023 | 276.50 Mn |
| Dec 31, 2022 | 302.60 Mn |
| Sep 30, 2022 | 313.60 Mn |
| Jun 30, 2022 | 335.50 Mn |
| Mar 31, 2022 | 320.80 Mn |
| Dec 31, 2021 | 236.10 Mn |
| Sep 30, 2021 | 201.00 Mn |
Asbury Automotive Operating Income 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=operating-income&ticker=ABG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();