Group 1 Automotive (GPI) EBIT (2010 - 2026)
Group 1 Automotive's EBIT was $203.1 million in Q2 2026, down 19.7% from $253 million a year earlier and down 16.3% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Group 1 Automotive's EBIT was $692.8 million through Jun 30, 2026, down 24.1% year-over-year; for FY2025, it was $734 million, down 19.3% from FY2024.
- EBIT has now declined for three consecutive years, though with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In earlier years, EBIT was $909.1 million in FY2024 (-6.1%), $968.6 million in FY2023 (-11.3%), $1.09 billion in FY2022 (+23.4%) and $884.4 million in FY2021 (+78.4%).
- Quarterly EBIT has moved between $107.8 million (Q3 2025) and $285 million (Q1 2022) over five years.
- Compared with a year earlier, EBIT was higher in two of the last eight quarters, with an average decline of 13.5%.
- The best year-over-year quarter for EBIT over five years was Q1 2022 (growth of 89.1%); the worst was Q3 2025 (a decline of 53.5%).
- Per Business Quant data, GPI's EBIT in the three quarters before Q2 2026 was $242.6 million (Q1 2026), $139.3 million (Q4 2025) and $107.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,844.36 Bn | 2,361.06 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 314.83 Bn | 308.07 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 162.65 Bn | 140.20 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 111.79 Bn | 104.75 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 75.89 Bn | 58.82 Bn | 2.12 Bn | 1.10 Bn |
| 6 | O Reilly Automotive | 74.29 Bn | 73.38 Bn | 2.52 Bn | 985.75 Mn |
| 7 | Target | 70.73 Bn | 65.32 Bn | 8.94 Bn | 2.56 Bn |
| 8 | Autozone | 52.10 Bn | 51.00 Bn | 2.52 Bn | 923.76 Mn |
| 9 | Carvana | 43.62 Bn | 34.11 Bn | 1.38 Bn | 680.00 Mn |
| 10 | Group 1 Automotive | 2.88 Bn | 2.61 Bn | 860.60 Mn | 203.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.10 Mn |
| Mar 31, 2026 | 242.60 Mn |
| Dec 31, 2025 | 139.30 Mn |
| Sep 30, 2025 | 107.80 Mn |
| Jun 30, 2025 | 253.00 Mn |
| Mar 31, 2025 | 233.90 Mn |
| Dec 31, 2024 | 193.70 Mn |
| Sep 30, 2024 | 231.60 Mn |
| Jun 30, 2024 | 241.10 Mn |
| Mar 31, 2024 | 242.60 Mn |
| Dec 31, 2023 | 194.70 Mn |
| Sep 30, 2023 | 261.60 Mn |
| Jun 30, 2023 | 270.80 Mn |
| Mar 31, 2023 | 241.50 Mn |
| Dec 31, 2022 | 242.00 Mn |
| Sep 30, 2022 | 279.90 Mn |
| Jun 30, 2022 | 284.50 Mn |
| Mar 31, 2022 | 285.00 Mn |
| Dec 31, 2021 | 229.70 Mn |
| Sep 30, 2021 | 241.50 Mn |
API Access
Group 1 Automotive EBIT 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=ebit&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();