Autozone (AZO) Assets (2009 - 2026)
Autozone (AZO) posted Assets of $20.92 billion for fiscal Q3 2026 (quarter ended May 9, 2026), up 12.3% from $18.62 billion a year earlier and up 2.3% from the prior quarter.
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Analysis
Autozone (AZO) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Autozone's Assets came in at $19.36 billion, up 12.7% from FY2024.
- Annual Assets has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior fiscal years, Autozone's Assets was $17.18 billion in FY2024 (+7.4%), $15.99 billion in FY2023 (+4.7%), $15.28 billion in FY2022 (+5.2%) and $14.52 billion in FY2021 (+0.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Assets has increased in each of the last 17 quarters, with growth averaging 10.3% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q2 2026, with growth of 12.8%; the weakest was fiscal Q1 2022, with a decline of 0.7%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $20.44 billion (Q2 2026), $19.67 billion (Q1 2026) and $19.36 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1,095.69 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 109.38 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 37.12 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 55.88 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 15.98 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 61.24 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 17.39 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 14.55 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 20.92 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 106.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 20.92 Bn |
| Feb 14, 2026 | 20.44 Bn |
| Nov 22, 2025 | 19.67 Bn |
| Aug 30, 2025 | 19.36 Bn |
| May 10, 2025 | 18.62 Bn |
| Feb 15, 2025 | 18.12 Bn |
| Nov 23, 2024 | 17.47 Bn |
| Aug 31, 2024 | 17.18 Bn |
| May 4, 2024 | 17.11 Bn |
| Feb 10, 2024 | 16.72 Bn |
| Nov 18, 2023 | 16.29 Bn |
| Aug 26, 2023 | 15.99 Bn |
| May 6, 2023 | 15.60 Bn |
| Feb 11, 2023 | 15.55 Bn |
| Nov 19, 2022 | 15.32 Bn |
| Aug 27, 2022 | 15.28 Bn |
| May 7, 2022 | 14.52 Bn |
| Feb 12, 2022 | 14.08 Bn |
| Nov 20, 2021 | 14.46 Bn |
| Aug 28, 2021 | 14.52 Bn |
API Access
Autozone Assets 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=assets&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();