Autozone (AZO) Long-Term Debt Repayments (2009 - 2026)
Autozone (AZO) reported Long-Term Debt Repayments of $476.85 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), compared with $22.06 million a year earlier.
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Analysis
Autozone (AZO) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 29, 2026), Autozone posted Long-Term Debt Repayments of $959.01 million, down 3.7% from FY2025.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 25.4% (FY2021 to FY2026).
- By fiscal year, Long-Term Debt Repayments came in at $996.15 million in FY2025 (+158.6%), $385.26 million in FY2024 (-56.3%), $881.06 million in FY2023 (+55.3%) and $567.18 million in FY2022 (+83.0%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Long-Term Debt Repayments since fiscal Q3 2025.
- Year over year, Long-Term Debt Repayments gained in five of the last seven quarters, with growth averaging 27.0%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q3 2025 (growth of 188.7%); the low point was fiscal Q4 2024 (a decline of 95.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,668.56 Bn | 2,668.56 Bn | - | - |
| 2 | Home Depot | 331.12 Bn | 324.36 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 152.56 Bn | 130.10 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 120.05 Bn | 113.02 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 74.48 Bn | 74.48 Bn | 2.68 Bn | - |
| 6 | Ross Stores | 73.60 Bn | 56.53 Bn | 2.12 Bn | - |
| 7 | Target | 70.15 Bn | 64.74 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.02 Bn | 51.87 Bn | 3.52 Bn | 476.85 Mn |
| 9 | Carvana | 51.67 Bn | 41.25 Bn | 1.52 Bn | 1.73 Bn |
| 10 | JD.com | 38.41 Bn | -81.80 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 476.85 Mn |
| May 9, 2026 | 428.06 Mn |
| Feb 14, 2026 | 26.78 Mn |
| Nov 22, 2025 | 27.32 Mn |
| Aug 30, 2025 | 22.06 Mn |
| May 10, 2025 | 926.68 Mn |
| Feb 15, 2025 | 24.31 Mn |
| Nov 23, 2024 | 23.11 Mn |
| Aug 31, 2024 | 22.80 Mn |
| May 4, 2024 | 321.00 Mn |
| Feb 10, 2024 | 21.26 Mn |
| Nov 18, 2023 | 20.20 Mn |
| Aug 26, 2023 | 520.13 Mn |
| May 6, 2023 | 20.36 Mn |
| Feb 11, 2023 | 319.97 Mn |
| Nov 19, 2022 | 20.60 Mn |
| Aug 27, 2022 | 18.32 Mn |
| May 7, 2022 | 17.77 Mn |
| Feb 12, 2022 | 517.41 Mn |
| Nov 20, 2021 | 13.69 Mn |
API Access
Autozone 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=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AZO", "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=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();