Group 1 Automotive (GPI) Acquisitions (2010 - 2026)
Group 1 Automotive (GPI) recorded Acquisitions of $219 million in Q2 2026, down 28.3% from $305.3 million a year earlier.
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Analysis
Group 1 Automotive (GPI) Acquisitions (2010 - 2026) Analysis & Trends
On a TTM basis, Group 1 Automotive's Acquisitions came in at $446 million as of Jun 30, 2026, down 50.8% year-over-year; for FY2025, it was $546.8 million, down 57.2% from FY2024.
- Annual Acquisitions has a five-year compound annual growth rate of 234.8% (FY2020 to FY2025).
- Across earlier years, Acquisitions came in at $1.28 billion in FY2024 (+248.8%), $366.1 million in FY2023 (-30.8%), $528.7 million in FY2022 (-51.9%) and $1.1 billion in FY2021.
- Quarterly Acquisitions has ranged from $200,000 in Q3 2023 to $1.03 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Acquisitions has declined for four consecutive quarters, with growth averaging 88.8% over the last six quarters.
- Peak year-over-year performance for Acquisitions in the last five years was growth of 912.5% in Q4 2024, against a decline of 99.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $600,000 (Q1 2026), $500,000 (Q4 2025) and $225.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | 23.99 Bn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | 1.05 Bn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | - |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | - |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | - |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | - |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | - |
| 10 | Group 1 Automotive | 3.17 Bn | 2.05 Bn | 854.80 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 Acquisitions 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=acquisitions&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();