Group 1 Automotive (GPI) Receivables (2010 - 2026)
Group 1 Automotive's Receivables was $586.7 million in Q2 2026, down 9.3% from $646.9 million a year earlier and down 13.6% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Group 1 Automotive came in at $634.8 million, down 4.3% from FY2024.
- Receivables shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier years, Receivables was $663.1 million in FY2024 (+9.1%), $607.6 million in FY2023 (+27.2%), $477.7 million in FY2022 (+20.4%) and $396.8 million in FY2021 (-1.5%).
- The Q2 2026 figure marks the lowest quarterly Receivables since Q3 2023.
- Compared with a year earlier, Receivables has declined for three straight quarters, with growth averaging 5.1% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q1 2024 (growth of 35.6%); the worst was Q3 2021 (a decline of 14.5%).
- Per Business Quant data, GPI's Receivables in the three quarters before Q2 2026 was $679 million (Q1 2026), $634.8 million (Q4 2025) and $647.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,833.54 Bn | 2,350.24 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 313.71 Bn | 306.95 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 162.26 Bn | 139.81 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 111.17 Bn | 104.14 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 75.32 Bn | 58.25 Bn | 2.12 Bn | 248.14 Mn |
| 6 | O Reilly Automotive | 74.23 Bn | 73.31 Bn | 2.52 Bn | 628.51 Mn |
| 7 | Target | 70.36 Bn | 64.95 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.91 Bn | 50.81 Bn | 2.52 Bn | 764.92 Mn |
| 9 | Carvana | 43.21 Bn | 33.70 Bn | 1.38 Bn | 377.00 Mn |
| 10 | Group 1 Automotive | 2.85 Bn | 2.58 Bn | 860.60 Mn | 586.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 586.70 Mn |
| Mar 31, 2026 | 679.00 Mn |
| Dec 31, 2025 | 634.80 Mn |
| Sep 30, 2025 | 647.70 Mn |
| Jun 30, 2025 | 646.90 Mn |
| Mar 31, 2025 | 750.40 Mn |
| Dec 31, 2024 | 663.10 Mn |
| Sep 30, 2024 | 638.80 Mn |
| Jun 30, 2024 | 609.40 Mn |
| Mar 31, 2024 | 601.40 Mn |
| Dec 31, 2023 | 607.60 Mn |
| Sep 30, 2023 | 523.20 Mn |
| Jun 30, 2023 | 486.30 Mn |
| Mar 31, 2023 | 443.60 Mn |
| Dec 31, 2022 | 477.70 Mn |
| Sep 30, 2022 | 406.60 Mn |
| Jun 30, 2022 | 405.80 Mn |
| Mar 31, 2022 | 413.20 Mn |
| Dec 31, 2021 | 396.80 Mn |
| Sep 30, 2021 | 352.40 Mn |
API Access
Group 1 Automotive Receivables 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=receivables&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();