Group 1 Automotive (GPI) Total Liabilities (2010 - 2026)
Group 1 Automotive (GPI) reported Total Liabilities of $7.33 billion for Q2 2026, up 3.4% from $7.09 billion a year earlier and up 1.5% from the prior quarter.
Powered by 
Analysis
Group 1 Automotive (GPI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Group 1 Automotive posted Total Liabilities of $7.56 billion, up 10.4% from FY2024.
- Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $6.85 billion in FY2024 (+34.3%), $5.1 billion in FY2023 (+13.8%), $4.48 billion in FY2022 (+14.2%) and $3.92 billion in FY2021 (+7.8%).
- Five-year quarterly Total Liabilities spans a low of $2.84 billion in Q3 2021 and a high of $7.56 billion in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last 19 quarters, with growth averaging 17.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2024 (growth of 45.0%); the low point was Q3 2021 (a decline of 21.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.22 billion (Q1 2026), $7.56 billion (Q4 2025) and $7.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Group 1 Automotive | 2.86 Bn | 2.59 Bn | 860.60 Mn | 7.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.33 Bn |
| Mar 31, 2026 | 7.22 Bn |
| Dec 31, 2025 | 7.56 Bn |
| Sep 30, 2025 | 7.34 Bn |
| Jun 30, 2025 | 7.09 Bn |
| Mar 31, 2025 | 6.89 Bn |
| Dec 31, 2024 | 6.85 Bn |
| Sep 30, 2024 | 7.00 Bn |
| Jun 30, 2024 | 5.98 Bn |
| Mar 31, 2024 | 5.74 Bn |
| Dec 31, 2023 | 5.10 Bn |
| Sep 30, 2023 | 4.83 Bn |
| Jun 30, 2023 | 4.91 Bn |
| Mar 31, 2023 | 4.57 Bn |
| Dec 31, 2022 | 4.48 Bn |
| Sep 30, 2022 | 4.04 Bn |
| Jun 30, 2022 | 4.10 Bn |
| Mar 31, 2022 | 4.09 Bn |
| Dec 31, 2021 | 3.92 Bn |
| Sep 30, 2021 | 2.84 Bn |
API Access
Group 1 Automotive Total Liabilities 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=total-liabilities&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();