Autozone (AZO) Long-Term Debt Repayments (2009 - 2023)
Autozone's (AZO) quarterly Long-Term Debt Repayments came in at $500.0 million in Q3 2023, up 150.0% quarter-over-quarter from $200.0 million in Q3 2016.
Autozone (AZO) Long-Term Debt Repayments (2009 - 2023) Analysis & Trends
Autozone (AZO) has reported Long-Term Debt Repayments for 7 consecutive years, with $500.0 million the latest figure, recorded in Q3 2023.
- On a quarterly basis, Long-Term Debt Repayments changed N/A year-over-year to $500.0 million in Q3 2023; TTM through Aug 2025 was $500.0 million, a 0.0% change from a year earlier, with the FY2025 full-year figure at $900.0 million, up 200.0% from the prior year.
- Long-Term Debt Repayments was $500.0 million for Q3 2023 at Autozone, up from $200.0 million in the prior quarter.
- Over five years, Long-Term Debt Repayments peaked at $500.0 million in Q3 2023 and troughed at $500.0 million in Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,749.45 Bn | 2,626.46 Bn | 198.88 Bn | 2.75 Bn |
| 2 | Home Depot | 304.78 Bn | 302.69 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 144.03 Bn | 138.03 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 110.04 Bn | 106.63 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.33 Bn | 70.04 Bn | 2.12 Bn | - |
| 6 | Target | 72.24 Bn | 66.83 Bn | 8.94 Bn | 38.00 Mn |
| 7 | Carvana | 71.88 Bn | 70.24 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 70.04 Bn | 69.78 Bn | 2.52 Bn | - |
| 9 | Autozone | 47.18 Bn | 46.93 Bn | 2.52 Bn | - |
| 10 | JD.com | 33.22 Bn | 9.95 Bn | 16.50 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 26, 2023 | 500.00 Mn |
| Aug 27, 2016 | 200.00 Mn |
| Nov 21, 2015 | 300.00 Mn |
| Aug 31, 2013 | 200.00 Mn |
| Nov 17, 2012 | 300.00 Mn |
| Nov 20, 2010 | 199.30 Mn |
| Aug 29, 2009 | 300.00 Mn |
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_KEY
import 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();