Asbury Automotive (ABG) Cost of Revenue (2010 - 2026)
Asbury Automotive (ABG) posted Cost of Revenue of $3.63 billion for Q2 2026, up 0.3% from $3.62 billion a year earlier and up 7.2% from the prior quarter.
Asbury Automotive (ABG) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Asbury Automotive was $14.9 billion, up 4.1% year-over-year; for FY2025, it was $14.93 billion, up 4.8% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- In prior years, Asbury Automotive's Cost of Revenue was $14.24 billion in FY2024 (+18.2%), $12.05 billion in FY2023 (-2.3%), $12.33 billion in FY2022 (+55.4%) and $7.94 billion in FY2021 (+34.3%).
- Quarterly Cost of Revenue has run from a low of $1.93 billion in Q3 2021 to a high of $4 billion in Q3 2025 over five years.
- On a year-over-year basis, Cost of Revenue increased in six of the last eight quarters, with growth averaging 7.0%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2022, with growth of 72.3%; the weakest was Q1 2023, with a decline of 7.5%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $3.39 billion (Q1 2026), $3.88 billion (Q4 2025) and $4 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 4.15 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 2.38 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 17.60 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 2.32 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 5.99 Bn |
| 10 | Asbury Automotive | 3.11 Bn | 2.97 Bn | 753.10 Mn | 3.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.63 Bn |
| Mar 31, 2026 | 3.39 Bn |
| Dec 31, 2025 | 3.88 Bn |
| Sep 30, 2025 | 4.00 Bn |
| Jun 30, 2025 | 3.62 Bn |
| Mar 31, 2025 | 3.42 Bn |
| Dec 31, 2024 | 3.75 Bn |
| Sep 30, 2024 | 3.52 Bn |
| Jun 30, 2024 | 3.52 Bn |
| Mar 31, 2024 | 3.45 Bn |
| Dec 31, 2023 | 3.14 Bn |
| Sep 30, 2023 | 2.99 Bn |
| Jun 30, 2023 | 3.03 Bn |
| Mar 31, 2023 | 2.89 Bn |
| Dec 31, 2022 | 2.97 Bn |
| Sep 30, 2022 | 3.10 Bn |
| Jun 30, 2022 | 3.15 Bn |
| Mar 31, 2022 | 3.12 Bn |
| Dec 31, 2021 | 2.11 Bn |
| Sep 30, 2021 | 1.93 Bn |
Asbury Automotive Cost of Revenue 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=cost-of-revenue&ticker=ABG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();