Group 1 Automotive (GPI) Operating Margin (2010 - 2026)
Group 1 Automotive (GPI) reported Operating Margin of 3.77% for Q2 2026, down 0.66 percentage points from 4.44% a year earlier and down 0.72 percentage points from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Operating Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Group 1 Automotive's Operating Margin came in at 3.13%, down 1.02 percentage points year-over-year; for FY2025, it was 3.25%, down 1.31 percentage points from FY2024.
- Operating Margin has declined for three consecutive years, with a five-year change of -1.42 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 4.56% in FY2024 (-0.86 pp), 5.42% in FY2023 (-1.31 pp), 6.73% in FY2022 (+0.17 pp) and 6.56% in FY2021 (+1.88 pp).
- Five-year quarterly Operating Margin spans a low of 1.86% in Q3 2025 and a high of 7.41% in Q1 2022.
- Year over year, Operating Margin gained in 1 of the last eight quarters, with an average year-over-year change of -0.98 percentage points.
- The high point for year-over-year Operating Margin in five years was Q1 2022 (a gain of 2.31 percentage points); the low point was Q3 2025 (a drop of 2.57 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 4.49% (Q1 2026), 2.50% (Q4 2025) and 1.86% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.64 Bn | 2,345.34 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 313.87 Bn | 307.11 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 111.40 Bn | 104.36 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 75.26 Bn | 58.19 Bn | 2.12 Bn | 17.62% |
| 6 | O Reilly Automotive | 74.29 Bn | 73.38 Bn | 2.52 Bn | 20.15% |
| 7 | Target | 70.11 Bn | 64.70 Bn | 8.94 Bn | 9.65% |
| 8 | Autozone | 51.94 Bn | 50.84 Bn | 2.52 Bn | 19.08% |
| 9 | Carvana | 43.22 Bn | 33.71 Bn | 1.38 Bn | 9.22% |
| 10 | Group 1 Automotive | 2.85 Bn | 2.59 Bn | 860.60 Mn | 3.77% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.77% |
| Mar 31, 2026 | 4.49% |
| Dec 31, 2025 | 2.50% |
| Sep 30, 2025 | 1.86% |
| Jun 30, 2025 | 4.44% |
| Mar 31, 2025 | 4.25% |
| Dec 31, 2024 | 3.49% |
| Sep 30, 2024 | 4.44% |
| Jun 30, 2024 | 5.13% |
| Mar 31, 2024 | 5.43% |
| Dec 31, 2023 | 4.35% |
| Sep 30, 2023 | 5.56% |
| Jun 30, 2023 | 5.94% |
| Mar 31, 2023 | 5.85% |
| Dec 31, 2022 | 5.95% |
| Sep 30, 2022 | 6.72% |
| Jun 30, 2022 | 6.86% |
| Mar 31, 2022 | 7.41% |
| Dec 31, 2021 | 6.58% |
| Sep 30, 2021 | 7.08% |
API Access
Group 1 Automotive Operating Margin 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=operating-margin&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();