Asbury Automotive (ABG) Capital Expenditures (2010 - 2026)
Asbury Automotive's Capital Expenditures was $71 million in Q2 2026, up 86.4% from $38.1 million a year earlier and up 53.0% from the prior quarter.
Asbury Automotive (ABG) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Asbury Automotive's Capital Expenditures was $243.9 million through Jun 30, 2026, up 55.6% year-over-year; for FY2025, it was $186 million, up 14.4% from FY2024.
- Capital Expenditures has now increased for five consecutive years, with a five-year compound annual growth rate of 32.0% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $162.6 million in FY2024 (+14.3%), $142.3 million in FY2023 (+50.4%), $94.6 million in FY2022 (+27.5%) and $74.2 million in FY2021 (+59.6%).
- Quarterly Capital Expenditures has moved between $15.2 million (Q1 2023) and $81.6 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures has increased for four straight quarters, with growth averaging 29.4% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2021 (growth of 144.1%); the worst was Q1 2023 (a decline of 26.9%).
- Per Business Quant data, ABG's Capital Expenditures in the three quarters before Q2 2026 was $46.4 million (Q1 2026), $81.6 million (Q4 2025) and $44.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 251.26 Mn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 307.60 Mn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 1.37 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 345.51 Mn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 51.00 Mn |
| 10 | Asbury Automotive | 3.07 Bn | 2.93 Bn | 753.10 Mn | 120.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.40 Mn |
| Mar 31, 2026 | 48.90 Mn |
| Dec 31, 2025 | 100.90 Mn |
| Sep 30, 2025 | 44.90 Mn |
| Jun 30, 2025 | 38.10 Mn |
| Mar 31, 2025 | 21.40 Mn |
| Dec 31, 2024 | 134.10 Mn |
| Sep 30, 2024 | 41.30 Mn |
| Jun 30, 2024 | 39.70 Mn |
| Mar 31, 2024 | 93.10 Mn |
| Dec 31, 2023 | 65.80 Mn |
| Sep 30, 2023 | 35.70 Mn |
| Jun 30, 2023 | 25.60 Mn |
| Mar 31, 2023 | 15.20 Mn |
| Dec 31, 2022 | 35.20 Mn |
| Sep 30, 2022 | 33.20 Mn |
| Jun 30, 2022 | 18.70 Mn |
| Mar 31, 2022 | 20.80 Mn |
| Dec 31, 2021 | 24.80 Mn |
| Sep 30, 2021 | 25.00 Mn |
Asbury Automotive Capital Expenditures 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=capital-expenditures&ticker=ABG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();