Autozone (AZO) Accumulated Expenses (2009 - 2026)
Autozone's Accumulated Expenses was $1.23 billion in fiscal Q3 2026 (quarter ended May 9, 2026), up 11.9% from $1.1 billion a year earlier and up 0.4% from the prior quarter.
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Analysis
Autozone (AZO) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Accumulated Expenses at Autozone came in at $1.15 billion, up 8.6% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $1.06 billion in FY2024 (+6.0%), $1 billion in FY2023 (-0.8%), $1.01 billion in FY2022 (-3.0%) and $1.04 billion in FY2021 (+25.6%).
- The fiscal Q3 2026 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 5.4% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q2 2024 (growth of 30.1%); the worst was fiscal Q2 2025 (a decline of 15.7%).
- Per Business Quant data, AZO's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $1.22 billion (Q2 2026), $1.21 billion (Q1 2026) and $1.15 billion (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 1.23 Bn |
| Feb 14, 2026 | 1.22 Bn |
| Nov 22, 2025 | 1.21 Bn |
| Aug 30, 2025 | 1.15 Bn |
| May 10, 2025 | 1.10 Bn |
| Feb 15, 2025 | 1.02 Bn |
| Nov 23, 2024 | 1.03 Bn |
| Aug 31, 2024 | 1.06 Bn |
| May 4, 2024 | 989.47 Mn |
| Feb 10, 2024 | 1.21 Bn |
| Nov 18, 2023 | 1.20 Bn |
| Aug 26, 2023 | 1.00 Bn |
| May 6, 2023 | 906.42 Mn |
| Feb 11, 2023 | 933.74 Mn |
| Nov 19, 2022 | 982.56 Mn |
| Aug 27, 2022 | 1.01 Bn |
| May 7, 2022 | 925.27 Mn |
| Feb 12, 2022 | 961.90 Mn |
| Nov 20, 2021 | 965.90 Mn |
| Aug 28, 2021 | 1.04 Bn |
API Access
Autozone Accumulated 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=accumulated-expenses&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();