Asbury Automotive (ABG) Cost of Revenue (2010 - 2026)
Asbury Automotive (ABG) posted Cost of Revenue of $3.68 billion for Q3 2026, down 7.9% from $4 billion a year earlier but up 1.4% from the prior quarter.
Asbury Automotive (ABG) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Asbury Automotive was $14.58 billion, down 1.5% 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 $2.11 billion in Q4 2021 to a high of $4 billion in Q3 2025 over five years.
- On a year-over-year basis, Cost of Revenue increased in five of the last eight quarters, with growth averaging 3.8%.
- 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 Q3 2026, with a decline of 7.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $3.63 billion (Q2 2026), $3.39 billion (Q1 2026) and $3.88 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,893.22 Bn | 2,389.89 Bn | 107.37 Bn | 94.57 Bn |
| 2 | Home Depot | 353.37 Bn | 346.61 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 152.40 Bn | 129.94 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 130.57 Bn | 123.54 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 75.67 Bn | 58.60 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 75.59 Bn | 70.18 Bn | 8.94 Bn | 17.60 Bn |
| 7 | O Reilly Automotive | 74.34 Bn | 73.43 Bn | 2.52 Bn | 2.38 Bn |
| 8 | Carvana | 54.54 Bn | 44.12 Bn | 1.52 Bn | 6.52 Bn |
| 9 | Autozone | 53.95 Bn | 52.80 Bn | 3.52 Bn | 3.08 Bn |
| 10 | Asbury Automotive | 3.86 Bn | 3.66 Bn | 731.50 Mn | 3.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.68 Bn |
| 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 |
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();