Group 1 Automotive (GPI) Long-Term Debt Repayments (2010 - 2026)
Group 1 Automotive (GPI) reported Long-Term Debt Repayments of $115.6 million for Q2 2026, up 84.1% from $62.8 million a year earlier and up 58.4% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Group 1 Automotive's Long-Term Debt Repayments came in at $319.2 million, up 24.9% year-over-year; for FY2025, it was $260.5 million, up 34.8% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -21.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $193.3 million in FY2024 (-13.6%), $223.6 million in FY2023 (-21.9%), $286.4 million in FY2022 (+52.9%) and $187.3 million in FY2021 (-78.2%).
- The Q2 2026 figure ranks as the highest quarterly Long-Term Debt Repayments since Q1 2022.
- Year over year, Long-Term Debt Repayments gained in six of the last eight quarters, with growth averaging 49.4%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2022 (growth of 320.9%); the low point was Q3 2021 (a decline of 90.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $73 million (Q1 2026), $74.2 million (Q4 2025) and $56.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Group 1 Automotive | 2.67 Bn | 2.40 Bn | 860.60 Mn | 115.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.60 Mn |
| Mar 31, 2026 | 73.00 Mn |
| Dec 31, 2025 | 74.20 Mn |
| Sep 30, 2025 | 56.40 Mn |
| Jun 30, 2025 | 62.80 Mn |
| Mar 31, 2025 | 67.10 Mn |
| Dec 31, 2024 | 80.00 Mn |
| Sep 30, 2024 | 45.60 Mn |
| Jun 30, 2024 | 39.10 Mn |
| Mar 31, 2024 | 28.60 Mn |
| Dec 31, 2023 | 40.40 Mn |
| Sep 30, 2023 | 49.10 Mn |
| Jun 30, 2023 | 47.20 Mn |
| Mar 31, 2023 | 86.90 Mn |
| Dec 31, 2022 | 39.90 Mn |
| Sep 30, 2022 | 40.20 Mn |
| Jun 30, 2022 | 15.20 Mn |
| Mar 31, 2022 | 191.10 Mn |
| Dec 31, 2021 | 43.60 Mn |
| Sep 30, 2021 | 51.80 Mn |
API Access
Group 1 Automotive Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();