Group 1 Automotive (GPI) Net of Acquisitions & Divestments (2010 - 2026)
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Analysis
Group 1 Automotive (GPI) Net of Acquisitions & Divestments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | -24.36 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | -1.05 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | - |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | - |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | -29.00 Mn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | - |
| 10 | Group 1 Automotive | 2.92 Bn | 2.65 Bn | 860.60 Mn | -219.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -219.00 Mn |
| Mar 31, 2026 | -600,000.00 |
| Dec 31, 2025 | -500,000.00 |
| Sep 30, 2025 | -225.90 Mn |
| Jun 30, 2025 | -305.30 Mn |
| Mar 31, 2025 | -15.10 Mn |
| Dec 31, 2024 | -24.30 Mn |
| Sep 30, 2024 | -562.20 Mn |
| Jun 30, 2024 | -600,000.00 |
| Mar 31, 2024 | -689.70 Mn |
| Dec 31, 2023 | -2.40 Mn |
| Sep 30, 2023 | -200,000.00 |
| Jun 30, 2023 | -286.60 Mn |
| Mar 31, 2023 | -76.90 Mn |
| Dec 31, 2022 | -104.50 Mn |
| Sep 30, 2022 | -106.10 Mn |
| Jun 30, 2022 | -70.40 Mn |
| Mar 31, 2022 | -247.70 Mn |
| Dec 31, 2021 | -1.03 Bn |
| Sep 30, 2021 | -24.70 Mn |
API Access
Group 1 Automotive Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();