Autozone (AZO) Change in Accured Expenses (2009 - 2026)
Autozone (AZO) recorded Change in Accured Expenses of $111.71 million in fiscal Q3 2026 (quarter ended May 9, 2026), down 27.4% from $153.83 million a year earlier.
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Analysis
Autozone (AZO) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Autozone's Change in Accured Expenses came in at $401.26 million as of May 9, 2026, down 44.4% year-over-year; for FY2025 (ended Aug 30, 2025), it was $657.41 million, up 169.3% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at $244.13 million in FY2024, -$183.68 million in FY2023, $1.22 billion in FY2022 (+18.9%) and $1.03 billion in FY2021 (+93.9%).
- Quarterly Change in Accured 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 Accured Expenses rose in four of the last six quarters, with growth averaging 80.3%.
- Peak year-over-year performance for Change in Accured 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.
- Per Business Quant, the preceding three fiscal quarters came in at -$7.73 million (Q2 2026), $243.49 million (Q1 2026) and $53.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 28, 2021 | 394.85 Mn |
API Access
Autozone Change in Accured 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();