Group 1 Automotive (GPI) EBITDA Margin (2010 - 2026)
Group 1 Automotive's EBITDA Margin was 4.35% in Q2 2026, down 0.59 percentage points from 4.94% a year earlier and down 0.72 percentage points from the prior quarter.
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Analysis
Group 1 Automotive (GPI) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Group 1 Automotive's EBITDA Margin was 3.69% through Jun 30, 2026, down 1.00 percentage points year-over-year; for FY2025, it was 3.79%, down 1.34 percentage points from FY2024.
- EBITDA Margin has now declined for three consecutive years, with a five-year change of -1.60 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 5.13% in FY2024 (-0.81 pp), 5.93% in FY2023 (-1.34 pp), 7.28% in FY2022 (+0.13 pp) and 7.15% in FY2021 (+1.75 pp).
- Quarterly EBITDA Margin has moved between 2.41% (Q3 2025) and 7.98% (Q1 2022) over five years.
- Compared with a year earlier, EBITDA Margin was higher in 1 of the last eight quarters, with an average year-over-year change of -0.97 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q1 2022 (a gain of 2.22 percentage points); the worst was Q3 2025 (a drop of 2.59 percentage points).
- Per Business Quant data, GPI's EBITDA Margin in the three quarters before Q2 2026 was 5.06% (Q1 2026), 3.06% (Q4 2025) and 2.41% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 19.85% |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 23.02% |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 12.60% |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 22.45% |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 10.21% |
| 10 | Group 1 Automotive | 2.86 Bn | 2.59 Bn | 860.60 Mn | 4.37% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.37% |
| Mar 31, 2026 | 5.09% |
| Dec 31, 2025 | 3.09% |
| Sep 30, 2025 | 2.43% |
| Jun 30, 2025 | 4.97% |
| Mar 31, 2025 | 4.80% |
| Dec 31, 2024 | 4.08% |
| Sep 30, 2024 | 5.02% |
| Jun 30, 2024 | 5.75% |
| Mar 31, 2024 | 5.98% |
| Dec 31, 2023 | 4.89% |
| Sep 30, 2023 | 6.07% |
| Jun 30, 2023 | 6.46% |
| Mar 31, 2023 | 6.41% |
| Dec 31, 2022 | 6.52% |
| Sep 30, 2022 | 7.27% |
| Jun 30, 2022 | 7.43% |
| Mar 31, 2022 | 8.00% |
| Dec 31, 2021 | 7.20% |
| Sep 30, 2021 | 7.66% |
API Access
Group 1 Automotive EBITDA 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=ebitda-margin&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();