Group 1 Automotive (GPI) Accounts Payables (2010 - 2026)
Group 1 Automotive's Accounts Payables came in at $685.6 million for Q2 2026, down 6.5% from $733.1 million a year earlier and down 4.8% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Group 1 Automotive's Accounts Payables was $732.8 million, down 0.7% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $738 million in FY2024 (+47.8%), $499.3 million in FY2023 (+2.3%), $488 million in FY2022 (+6.6%) and $457.8 million in FY2021 (+6.4%).
- The Q2 2026 figure represents the lowest quarterly Accounts Payables since Q2 2024.
- Year-over-year, Accounts Payables has declined for three consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in Q2 2025 (growth of 49.4%), and the weakest in Q2 2024 (a decline of 10.6%).
- Business Quant data shows GPI's Accounts Payables at $719.9 million (Q1 2026), $732.8 million (Q4 2025) and $737.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,830.63 Bn | 2,347.33 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 313.91 Bn | 307.15 Bn | 16.12 Bn | 13.59 Bn |
| 3 | Tjx Companies | 162.14 Bn | 139.68 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 111.14 Bn | 104.11 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 75.38 Bn | 58.30 Bn | 2.12 Bn | 2.62 Bn |
| 6 | O Reilly Automotive | 74.19 Bn | 73.28 Bn | 2.52 Bn | 7.38 Bn |
| 7 | Target | 70.17 Bn | 64.76 Bn | 8.94 Bn | 13.31 Bn |
| 8 | Autozone | 51.95 Bn | 50.85 Bn | 2.52 Bn | 8.40 Bn |
| 9 | Carvana | 43.39 Bn | 33.88 Bn | 1.38 Bn | 1.46 Bn |
| 10 | Group 1 Automotive | 2.86 Bn | 2.59 Bn | 860.60 Mn | 685.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 685.60 Mn |
| Mar 31, 2026 | 719.90 Mn |
| Dec 31, 2025 | 732.80 Mn |
| Sep 30, 2025 | 737.20 Mn |
| Jun 30, 2025 | 733.10 Mn |
| Mar 31, 2025 | 727.90 Mn |
| Dec 31, 2024 | 738.00 Mn |
| Sep 30, 2024 | 737.00 Mn |
| Jun 30, 2024 | 490.60 Mn |
| Mar 31, 2024 | 588.60 Mn |
| Dec 31, 2023 | 499.30 Mn |
| Sep 30, 2023 | 533.40 Mn |
| Jun 30, 2023 | 549.00 Mn |
| Mar 31, 2023 | 509.80 Mn |
| Dec 31, 2022 | 488.00 Mn |
| Sep 30, 2022 | 468.00 Mn |
| Jun 30, 2022 | 437.80 Mn |
| Mar 31, 2022 | 439.50 Mn |
| Dec 31, 2021 | 457.80 Mn |
| Sep 30, 2021 | 381.70 Mn |
API Access
Group 1 Automotive Accounts Payables 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=accounts-payables&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();