Autozone (AZO) Long-Term Debt Repayments (2009 - 2026)
Autozone (AZO) reported Long-Term Debt Repayments of $345.9 million for fiscal Q3 2026 (quarter ended May 9, 2026), down 59.4% from $852.59 million a year earlier.
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Analysis
Autozone (AZO) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended May 9, 2026, Autozone's Long-Term Debt Repayments came in at $400 million, down 55.6% year-over-year; for FY2025 (ended Aug 30, 2025), it was $900 million, up 200.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Repayments came in at $300 million in FY2024 (-62.5%), $800 million in FY2023 (+60.0%), $500 million in FY2022 (+100.0%) and $250 million in FY2021 (-50.0%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $13.69 million in fiscal Q1 2022 and a high of $852.59 million in fiscal Q3 2025.
- Year over year, Long-Term Debt Repayments gained in five of the last six quarters, with growth averaging 37.9%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q3 2025 (growth of 229.8%); the low point was fiscal Q2 2024 (a decline of 92.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,786.69 Bn | 2,303.39 Bn | 104.83 Bn | 2.75 Bn |
| 2 | Home Depot | 292.25 Bn | 285.49 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 156.35 Bn | 133.89 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.35 Bn | 98.31 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 71.70 Bn | 54.63 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 70.98 Bn | 70.07 Bn | 2.52 Bn | - |
| 7 | Target | 68.97 Bn | 63.56 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 47.65 Bn | 46.55 Bn | 2.52 Bn | 345.90 Mn |
| 9 | Carvana | 43.47 Bn | 33.96 Bn | 1.38 Bn | 21.00 Mn |
| 10 | JD.com | 38.15 Bn | -82.06 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 345.90 Mn |
| Feb 14, 2026 | 26.78 Mn |
| Nov 22, 2025 | 27.32 Mn |
| May 10, 2025 | 852.59 Mn |
| Feb 15, 2025 | 24.31 Mn |
| Nov 23, 2024 | 23.11 Mn |
| May 4, 2024 | 258.54 Mn |
| Feb 10, 2024 | 21.26 Mn |
| Nov 18, 2023 | 20.20 Mn |
| Aug 26, 2023 | 500.00 Mn |
| Feb 11, 2023 | 279.40 Mn |
| Nov 19, 2022 | 20.60 Mn |
| Feb 12, 2022 | 486.31 Mn |
| Nov 20, 2021 | 13.69 Mn |
| May 8, 2021 | 220.92 Mn |
| Feb 13, 2021 | 15.29 Mn |
| Nov 21, 2020 | 13.79 Mn |
| Aug 29, 2020 | 456.22 Mn |
| May 9, 2020 | 14.45 Mn |
| Feb 15, 2020 | 14.99 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();