Group 1 Automotive (GPI) Gains from Sales and Divestitures (2010 - 2026)
Group 1 Automotive (GPI) reported Gains from Sales and Divestitures of -$7.8 million for Q2 2026, compared with $500,000 a year earlier.
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Analysis
Group 1 Automotive (GPI) Gains from Sales and Divestitures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Group 1 Automotive's Gains from Sales and Divestitures came in at $50 million, up 290.6% year-over-year; for FY2025, it was $18.7 million, down 68.6% from FY2024.
- Gains from Sales and Divestitures has a five-year compound annual growth rate of 26.4% (FY2020 to FY2025).
- By year, Gains from Sales and Divestitures came in at $59.5 million in FY2024 (+155.4%), $23.3 million in FY2023 (-43.3%), $41.1 million in FY2022 (+585.0%) and $6 million in FY2021 (+3.4%).
- The Q2 2026 figure ranks as the lowest quarterly Gains from Sales and Divestitures in data going back to Q3 2014.
- Year over year, Gains from Sales and Divestitures gained in three of the last seven quarters, with growth averaging 52.0%.
- The high point for year-over-year Gains from Sales and Divestitures in five years was Q4 2023 (growth of 966.7%); the low point was Q2 2025 (a decline of 97.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.1 million (Q1 2026), $9.3 million (Q4 2025) and $400,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 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 |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn |
| 10 | Group 1 Automotive | 2.92 Bn | 2.65 Bn | 860.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.80 Mn |
| Mar 31, 2026 | 48.10 Mn |
| Dec 31, 2025 | 9.30 Mn |
| Sep 30, 2025 | 400,000.00 |
| Jun 30, 2025 | 500,000.00 |
| Mar 31, 2025 | 8.50 Mn |
| Dec 31, 2024 | 3.30 Mn |
| Sep 30, 2024 | 500,000.00 |
| Jun 30, 2024 | 21.40 Mn |
| Mar 31, 2024 | 34.30 Mn |
| Dec 31, 2023 | 3.20 Mn |
| Sep 30, 2023 | 8.30 Mn |
| Jun 30, 2023 | 10.30 Mn |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 300,000.00 |
| Sep 30, 2022 | 16.20 Mn |
| Jun 30, 2022 | 3.20 Mn |
| Mar 31, 2022 | 21.40 Mn |
| Dec 31, 2021 | 3.90 Mn |
| Jun 30, 2021 | 1.00 Mn |
API Access
Group 1 Automotive Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();