Autozone (AZO) EBT (2009 - 2026)
Autozone's EBT came in at $813.27 million for fiscal Q3 2026 (quarter ended May 9, 2026), up 7.7% from $754.89 million a year earlier and up 37.6% from the prior quarter.
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Analysis
Autozone (AZO) EBT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to May 9, 2026, Autozone reported EBT of $3.13 billion, down 3.1% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $3.13 billion, down 6.1% from FY2024.
- EBT carries a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by fiscal year, EBT was $3.34 billion in FY2024 (+5.4%), $3.17 billion in FY2023 (+2.9%), $3.08 billion in FY2022 (+12.0%) and $2.75 billion in FY2021 (+24.0%).
- The five-year range for quarterly EBT is $584.29 million (fiscal Q2 2022) to $1.14 billion (fiscal Q4 2024).
- Year-over-year, EBT increased in two of the last eight quarters, with an average decline of 2.7%.
- The fastest year-over-year change in EBT over five years came in fiscal Q2 2022 (growth of 34.1%), and the weakest in fiscal Q4 2025 (a decline of 8.4%).
- Business Quant data shows AZO's EBT at $591.25 million (Q2 2026), $677.94 million (Q1 2026) and $1.05 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 80.86 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.32 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.02 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 3.18 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.13 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 2.46 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 924.08 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 579.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 813.27 Mn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 1.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 813.27 Mn |
| Feb 14, 2026 | 591.25 Mn |
| Nov 22, 2025 | 677.94 Mn |
| Aug 30, 2025 | 1.05 Bn |
| May 10, 2025 | 754.89 Mn |
| Feb 15, 2025 | 597.95 Mn |
| Nov 23, 2024 | 733.52 Mn |
| Aug 31, 2024 | 1.14 Bn |
| May 4, 2024 | 795.76 Mn |
| Feb 10, 2024 | 640.62 Mn |
| Nov 18, 2023 | 757.22 Mn |
| Aug 26, 2023 | 1.11 Bn |
| May 6, 2023 | 784.17 Mn |
| Feb 11, 2023 | 604.37 Mn |
| Nov 19, 2022 | 665.31 Mn |
| Aug 27, 2022 | 1.04 Bn |
| May 7, 2022 | 743.78 Mn |
| Feb 12, 2022 | 584.29 Mn |
| Nov 20, 2021 | 711.20 Mn |
| Aug 28, 2021 | 985.91 Mn |
API Access
Autozone EBT 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=ebt&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();