Autozone (AZO) Total Non-Current Liabilities (2009 - 2026)
Autozone (AZO) reported Total Non-Current Liabilities of $22.81 billion for fiscal Q3 2026 (quarter ended May 9, 2026), up 4.9% from $21.75 billion a year earlier and up 1.4% from the prior quarter.
Autozone (AZO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Autozone posted Total Non-Current Liabilities of $21.93 billion, up 3.7% from FY2024.
- Total Non-Current Liabilities has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $21.15 billion in FY2024 (+7.7%), $19.63 billion in FY2023 (+8.6%), $18.08 billion in FY2022 (+15.8%) and $15.61 billion in FY2021 (+6.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 32 quarters, with growth averaging 4.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 2.6% in fiscal Q3 2025 to 16.3% in fiscal Q1 2023.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $22.51 billion (Q2 2026), $22.11 billion (Q1 2026) and $21.93 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.81 Bn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 13.01 Bn |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 22.81 Bn |
| Feb 14, 2026 | 22.51 Bn |
| Nov 22, 2025 | 22.11 Bn |
| Aug 30, 2025 | 21.93 Bn |
| May 10, 2025 | 21.75 Bn |
| Feb 15, 2025 | 21.80 Bn |
| Nov 23, 2024 | 21.38 Bn |
| Aug 31, 2024 | 21.15 Bn |
| May 4, 2024 | 21.19 Bn |
| Feb 10, 2024 | 20.84 Bn |
| Nov 18, 2023 | 20.81 Bn |
| Aug 26, 2023 | 19.63 Bn |
| May 6, 2023 | 19.21 Bn |
| Feb 11, 2023 | 19.05 Bn |
| Nov 19, 2022 | 18.42 Bn |
| Aug 27, 2022 | 18.08 Bn |
| May 7, 2022 | 17.20 Bn |
| Feb 12, 2022 | 16.55 Bn |
| Nov 20, 2021 | 15.84 Bn |
| Aug 28, 2021 | 15.61 Bn |
Autozone Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();