Autozone (AZO) Total Liabilities (2009 - 2026)
Autozone's Total Liabilities was $23.7 billion in fiscal Q3 2026 (quarter ended May 9, 2026), up 4.9% from $22.6 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Autozone (AZO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Total Liabilities at Autozone came in at $22.77 billion, up 3.8% from FY2024.
- Total Liabilities has now increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $21.93 billion in FY2024 (+7.8%), $20.34 billion in FY2023 (+8.1%), $18.81 billion in FY2022 (+15.3%) and $16.31 billion in FY2021 (+6.6%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Compared with a year earlier, Total Liabilities has increased for 32 straight quarters, with growth averaging 4.3% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 2.9% (fiscal Q1 2025) and 15.5% (fiscal Q1 2023) over the last five years.
- Per Business Quant data, AZO's Total Liabilities in the three fiscal quarters before Q3 2026 was $23.35 billion (Q2 2026), $22.89 billion (Q1 2026) and $22.77 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 65.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 23.70 Bn |
| Feb 14, 2026 | 23.35 Bn |
| Nov 22, 2025 | 22.89 Bn |
| Aug 30, 2025 | 22.77 Bn |
| May 10, 2025 | 22.60 Bn |
| Feb 15, 2025 | 22.57 Bn |
| Nov 23, 2024 | 22.14 Bn |
| Aug 31, 2024 | 21.93 Bn |
| May 4, 2024 | 21.95 Bn |
| Feb 10, 2024 | 21.55 Bn |
| Nov 18, 2023 | 21.51 Bn |
| Aug 26, 2023 | 20.34 Bn |
| May 6, 2023 | 19.90 Bn |
| Feb 11, 2023 | 19.73 Bn |
| Nov 19, 2022 | 19.15 Bn |
| Aug 27, 2022 | 18.81 Bn |
| May 7, 2022 | 17.91 Bn |
| Feb 12, 2022 | 17.22 Bn |
| Nov 20, 2021 | 16.59 Bn |
| Aug 28, 2021 | 16.31 Bn |
API Access
Autozone Total 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-liabilities&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();