Group 1 Automotive (GPI) Total Current Liabilities (2010 - 2026)
Group 1 Automotive's Total Current Liabilities was $3.6 billion in Q2 2026, up 9.8% from $3.28 billion a year earlier but down 2.7% from the prior quarter.
Group 1 Automotive (GPI) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Group 1 Automotive came in at $3.4 billion, up 0.2% from FY2024.
- Total Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $3.4 billion in FY2024 (+35.6%), $2.51 billion in FY2023 (+30.4%), $1.92 billion in FY2022 (+24.5%) and $1.54 billion in FY2021 (-16.2%).
- Quarterly Total Current Liabilities has moved between $1.05 billion (Q3 2021) and $3.7 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 18.1% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2024 (growth of 66.6%); the worst was Q3 2021 (a decline of 42.3%).
- Per Business Quant data, GPI's Total Current Liabilities in the three quarters before Q2 2026 was $3.7 billion (Q1 2026), $3.4 billion (Q4 2025) and $3.34 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,836.88 Bn | 2,353.57 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 313.62 Bn | 306.86 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 162.22 Bn | 139.77 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 111.04 Bn | 104.00 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.26 Bn | 58.19 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 74.19 Bn | 73.27 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 70.38 Bn | 64.97 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 51.85 Bn | 50.75 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 43.20 Bn | 33.69 Bn | 1.38 Bn | 2.04 Bn |
| 10 | Group 1 Automotive | 2.84 Bn | 2.57 Bn | 860.60 Mn | 3.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.60 Bn |
| Mar 31, 2026 | 3.70 Bn |
| Dec 31, 2025 | 3.40 Bn |
| Sep 30, 2025 | 3.34 Bn |
| Jun 30, 2025 | 3.28 Bn |
| Mar 31, 2025 | 3.50 Bn |
| Dec 31, 2024 | 3.40 Bn |
| Sep 30, 2024 | 3.62 Bn |
| Jun 30, 2024 | 3.10 Bn |
| Mar 31, 2024 | 2.72 Bn |
| Dec 31, 2023 | 2.51 Bn |
| Sep 30, 2023 | 2.17 Bn |
| Jun 30, 2023 | 2.12 Bn |
| Mar 31, 2023 | 2.05 Bn |
| Dec 31, 2022 | 1.92 Bn |
| Sep 30, 2022 | 1.65 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 1.62 Bn |
| Dec 31, 2021 | 1.54 Bn |
| Sep 30, 2021 | 1.05 Bn |
Group 1 Automotive Total Current 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-current-liabilities&ticker=GPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();