Group 1 Automotive (GPI) Capital Expenditures (2010 - 2026)
Group 1 Automotive's Capital Expenditures was $42.8 million in Q2 2026, down 40.3% from $71.7 million a year earlier and down 49.0% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Group 1 Automotive's Capital Expenditures was $272.9 million through Jun 30, 2026, up 2.6% year-over-year; for FY2025, it came in at $270 million, up 10.2% from FY2024.
- Capital Expenditures has now increased for five consecutive years, with a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $245.1 million in FY2024 (+32.2%), $185.4 million in FY2023 (+19.2%), $155.5 million in FY2022 (+8.3%) and $143.6 million in FY2021 (+39.1%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q2 2024.
- Compared with a year earlier, Capital Expenditures was higher in four of the last eight quarters, with growth averaging 24.5%.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2021 (growth of 126.2%); the worst was Q2 2026 (a decline of 40.3%).
- Per Business Quant data, GPI's Capital Expenditures in the three quarters before Q2 2026 was $84 million (Q1 2026), $77.8 million (Q4 2025) and $68.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,834.02 Bn | 2,350.72 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 312.44 Bn | 305.69 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 162.62 Bn | 140.17 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 111.26 Bn | 104.23 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 75.77 Bn | 58.69 Bn | 2.12 Bn | 251.26 Mn |
| 6 | O Reilly Automotive | 74.04 Bn | 73.13 Bn | 2.52 Bn | 307.60 Mn |
| 7 | Target | 70.30 Bn | 64.89 Bn | 8.94 Bn | 1.37 Bn |
| 8 | Autozone | 51.92 Bn | 50.82 Bn | 2.52 Bn | 345.51 Mn |
| 9 | Carvana | 42.38 Bn | 32.87 Bn | 1.38 Bn | 51.00 Mn |
| 10 | Group 1 Automotive | 2.85 Bn | 2.58 Bn | 860.60 Mn | 42.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.80 Mn |
| Mar 31, 2026 | 84.00 Mn |
| Dec 31, 2025 | 77.80 Mn |
| Sep 30, 2025 | 68.30 Mn |
| Jun 30, 2025 | 71.70 Mn |
| Mar 31, 2025 | 52.20 Mn |
| Dec 31, 2024 | 92.50 Mn |
| Sep 30, 2024 | 49.70 Mn |
| Jun 30, 2024 | 39.70 Mn |
| Mar 31, 2024 | 63.20 Mn |
| Dec 31, 2023 | 48.00 Mn |
| Sep 30, 2023 | 50.70 Mn |
| Jun 30, 2023 | 50.90 Mn |
| Mar 31, 2023 | 35.80 Mn |
| Dec 31, 2022 | 62.20 Mn |
| Sep 30, 2022 | 30.30 Mn |
| Jun 30, 2022 | 29.10 Mn |
| Mar 31, 2022 | 33.90 Mn |
| Dec 31, 2021 | 55.20 Mn |
| Sep 30, 2021 | 24.60 Mn |
API Access
Group 1 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=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "GPI", "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=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();