Autozone (AZO) Other Non-Current Liabilities (2009 - 2026)
Autozone (AZO) recorded Other Non-Current Liabilities of $887.15 million in fiscal Q3 2026 (quarter ended May 9, 2026), up 5.0% from $844.65 million a year earlier and up 5.6% from the prior quarter.
Autozone (AZO) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Autozone reported Other Non-Current Liabilities of $836.02 million, up 7.1% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $780.29 million in FY2024 (+11.1%), $702.04 million in FY2023 (-4.0%), $731.61 million in FY2022 (+3.9%) and $704.19 million in FY2021 (+8.4%).
- The fiscal Q3 2026 figure is the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2009.
- On a year-over-year basis, Other Non-Current Liabilities has increased for ten consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 12.4% in fiscal Q3 2025, against a decline of 5.1% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $839.82 million (Q2 2026), $785.77 million (Q1 2026) and $836.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 887.15 Mn |
| Feb 14, 2026 | 839.82 Mn |
| Nov 22, 2025 | 785.77 Mn |
| Aug 30, 2025 | 836.02 Mn |
| May 10, 2025 | 844.65 Mn |
| Feb 15, 2025 | 771.86 Mn |
| Nov 23, 2024 | 758.59 Mn |
| Aug 31, 2024 | 780.29 Mn |
| May 4, 2024 | 751.72 Mn |
| Feb 10, 2024 | 710.27 Mn |
| Nov 18, 2023 | 691.90 Mn |
| Aug 26, 2023 | 702.04 Mn |
| May 6, 2023 | 693.65 Mn |
| Feb 11, 2023 | 682.06 Mn |
| Nov 19, 2022 | 729.01 Mn |
| Aug 27, 2022 | 731.61 Mn |
| May 7, 2022 | 707.87 Mn |
| Feb 12, 2022 | 669.69 Mn |
| Nov 20, 2021 | 746.55 Mn |
| Aug 28, 2021 | 704.19 Mn |
Autozone Other 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=other-non-current-liabilities&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();