Group 1 Automotive (GPI) Operating Leases (2019 - 2026)
Group 1 Automotive's Operating Leases came in at $207 million for Q2 2026, down 26.1% from $280 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Group 1 Automotive's Operating Leases was $229.9 million, down 16.8% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Going back by year, Operating Leases was $276.2 million in FY2024 (+31.9%), $209.4 million in FY2023 (-12.2%), $238.4 million in FY2022 (-7.1%) and $256.6 million in FY2021 (+24.6%).
- The five-year range for quarterly Operating Leases is $205.5 million (Q1 2024) to $284.9 million (Q3 2024).
- Year-over-year, Operating Leases has declined for four consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q1 2025 (growth of 35.7%), and the weakest in Q2 2026 (a decline of 26.1%).
- Business Quant data shows GPI's Operating Leases at $206.8 million (Q1 2026), $229.9 million (Q4 2025) and $272.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,833.58 Bn | 2,350.27 Bn | 104.83 Bn |
| 2 | Home Depot | 313.31 Bn | 306.55 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.11 Bn | 139.66 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.99 Bn | 103.96 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.23 Bn | 58.16 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.10 Bn | 73.19 Bn | 2.52 Bn |
| 7 | Target | 70.30 Bn | 64.89 Bn | 8.94 Bn |
| 8 | Autozone | 51.80 Bn | 50.70 Bn | 2.52 Bn |
| 9 | Carvana | 43.17 Bn | 33.66 Bn | 1.38 Bn |
| 10 | Group 1 Automotive | 2.86 Bn | 2.59 Bn | 860.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 207.00 Mn |
| Mar 31, 2026 | 206.80 Mn |
| Dec 31, 2025 | 229.90 Mn |
| Sep 30, 2025 | 272.40 Mn |
| Jun 30, 2025 | 280.00 Mn |
| Mar 31, 2025 | 278.80 Mn |
| Dec 31, 2024 | 276.20 Mn |
| Sep 30, 2024 | 284.90 Mn |
| Jun 30, 2024 | 214.30 Mn |
| Mar 31, 2024 | 205.50 Mn |
| Dec 31, 2023 | 209.40 Mn |
| Sep 30, 2023 | 218.50 Mn |
| Jun 30, 2023 | 228.10 Mn |
| Mar 31, 2023 | 236.80 Mn |
| Dec 31, 2022 | 238.40 Mn |
| Sep 30, 2022 | 236.50 Mn |
| Jun 30, 2022 | 230.40 Mn |
| Mar 31, 2022 | 247.70 Mn |
| Dec 31, 2021 | 256.60 Mn |
| Sep 30, 2021 | 213.10 Mn |
API Access
Group 1 Automotive Operating Leases 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-leases&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();