Asbury Automotive (ABG) Long-Term Debt Repayments (2010 - 2026)
Asbury Automotive (ABG) posted Long-Term Debt Repayments of $19.2 million for Q2 2026, down 77.3% from $84.6 million a year earlier and down 59.5% from the prior quarter.
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Analysis
Asbury Automotive (ABG) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Asbury Automotive was $202.5 million, up 53.4% year-over-year; for FY2025, it was $234.1 million, up 227.9% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -32.1% (FY2020 to FY2025).
- In prior years, Asbury Automotive's Long-Term Debt Repayments was $71.4 million in FY2024 (-43.3%), $126 million in FY2023 (+18.6%), $106.2 million in FY2022 (+155.9%) and $41.5 million in FY2021 (-97.4%).
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with growth averaging 129.0%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2022, with growth of 639.7%; the weakest was Q3 2021, with a decline of 97.8%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $47.4 million (Q1 2026), $79.3 million (Q4 2025) and $56.6 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 | Asbury Automotive | 3.00 Bn | 2.86 Bn | 753.10 Mn | 19.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.20 Mn |
| Mar 31, 2026 | 47.40 Mn |
| Dec 31, 2025 | 79.30 Mn |
| Sep 30, 2025 | 56.60 Mn |
| Jun 30, 2025 | 84.60 Mn |
| Mar 31, 2025 | 13.60 Mn |
| Dec 31, 2024 | 14.50 Mn |
| Sep 30, 2024 | 19.30 Mn |
| Jun 30, 2024 | 22.90 Mn |
| Mar 31, 2024 | 14.70 Mn |
| Dec 31, 2023 | 17.20 Mn |
| Sep 30, 2023 | 26.00 Mn |
| Jun 30, 2023 | 67.50 Mn |
| Mar 31, 2023 | 15.30 Mn |
| Dec 31, 2022 | 57.70 Mn |
| Sep 30, 2022 | 24.40 Mn |
| Jun 30, 2022 | 16.40 Mn |
| Mar 31, 2022 | 7.70 Mn |
| Dec 31, 2021 | 7.80 Mn |
| Sep 30, 2021 | 9.80 Mn |
API Access
Asbury 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=ABG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ABG", "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=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();