Autozone (AZO) Change in Accrued Expenses (2009 - 2026)
Autozone (AZO) recorded Change in Accrued Expenses of $111.08 million in fiscal Q4 2026 (quarter ended Aug 29, 2026), up 106.5% from $53.8 million a year earlier.
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Analysis
Autozone (AZO) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 29, 2026), Autozone reported Change in Accrued Expenses of $458.55 million, down 30.2% from FY2025.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of -14.9% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accrued Expenses came in at $657.41 million in FY2025 (+169.3%), $244.13 million in FY2024, -$183.68 million in FY2023 and $1.22 billion in FY2022 (+18.9%).
- Quarterly Change in Accrued Expenses has ranged from -$128.59 million in fiscal Q3 2023 to $569.47 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in four of the last six quarters, with growth averaging 79.8%.
- Peak year-over-year performance for Change in Accrued Expenses in the last five years was growth of 413.6% in fiscal Q1 2024, against a decline of 92.6% in fiscal Q1 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | -3.85 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn | - |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn | 113.00 Mn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn | - |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn | -594,000.00 |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn | 595.00 Mn |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn | 111.08 Mn |
| 10 | JD.com | 33.86 Bn | -77.03 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 111.08 Mn |
| May 9, 2026 | 111.71 Mn |
| Feb 14, 2026 | -7.73 Mn |
| Nov 22, 2025 | 243.49 Mn |
| Aug 30, 2025 | 53.80 Mn |
| May 10, 2025 | 153.83 Mn |
| Feb 15, 2025 | 279.76 Mn |
| Nov 23, 2024 | 170.03 Mn |
| Aug 31, 2024 | 117.65 Mn |
| May 4, 2024 | 143.55 Mn |
| Feb 10, 2024 | -50.82 Mn |
| Nov 18, 2023 | 33.76 Mn |
| Aug 26, 2023 | 56.22 Mn |
| May 6, 2023 | -128.59 Mn |
| Feb 11, 2023 | -117.89 Mn |
| Nov 19, 2022 | 6.57 Mn |
| Aug 27, 2022 | 569.47 Mn |
| May 7, 2022 | 376.39 Mn |
| Feb 12, 2022 | 189.57 Mn |
| Nov 20, 2021 | 89.27 Mn |
API Access
Autozone Change in Accrued Expenses 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=change-in-accured-expenses&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();