Group 1 Automotive (GPI) Net Income (2010 - 2026)
Group 1 Automotive (GPI) reported Net Income of $103.3 million for Q2 2026, down 26.5% from $140.5 million a year earlier and down 20.7% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Net Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Group 1 Automotive's Net Income came in at $290 million, down 39.7% year-over-year; for FY2025, it came in at $325.2 million, down 34.7% from FY2024.
- Net Income has declined for three consecutive years, though with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- By year, Net Income came in at $498.2 million in FY2024 (-17.2%), $601.6 million in FY2023 (-19.9%), $751.5 million in FY2022 (+36.1%) and $552.1 million in FY2021 (+92.7%).
- Five-year quarterly Net Income spans a low of $12.9 million in Q3 2025 and a high of $202.9 million in Q1 2022.
- Year over year, Net Income gained in two of the last eight quarters, with an average decline of 27.6%.
- The high point for year-over-year Net Income in five years was Q1 2022 (growth of 99.1%); the low point was Q3 2025 (a decline of 89.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $130.2 million (Q1 2026), $43.6 million (Q4 2025) and $12.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 62.65 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 4.77 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 1.52 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 2.40 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 851.30 Mn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 715.06 Mn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 1.88 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 641.49 Mn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 513.00 Mn |
| 10 | Group 1 Automotive | 2.83 Bn | 2.56 Bn | 860.60 Mn | 103.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.30 Mn |
| Mar 31, 2026 | 130.20 Mn |
| Dec 31, 2025 | 43.60 Mn |
| Sep 30, 2025 | 13.00 Mn |
| Jun 30, 2025 | 140.50 Mn |
| Mar 31, 2025 | 128.10 Mn |
| Dec 31, 2024 | 94.80 Mn |
| Sep 30, 2024 | 117.30 Mn |
| Jun 30, 2024 | 138.20 Mn |
| Mar 31, 2024 | 147.90 Mn |
| Dec 31, 2023 | 108.70 Mn |
| Sep 30, 2023 | 163.90 Mn |
| Jun 30, 2023 | 170.50 Mn |
| Mar 31, 2023 | 158.40 Mn |
| Dec 31, 2022 | 156.90 Mn |
| Sep 30, 2022 | 195.70 Mn |
| Jun 30, 2022 | 195.90 Mn |
| Mar 31, 2022 | 202.90 Mn |
| Dec 31, 2021 | 87.10 Mn |
| Sep 30, 2021 | 172.10 Mn |
API Access
Group 1 Automotive Net Income 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-income&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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-income&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();