Autozone (AZO) EBITDA (2009 - 2026)
Autozone (AZO) recorded EBITDA of $1.08 billion in fiscal Q3 2026 (quarter ended May 9, 2026), up 7.2% from $1.01 billion a year earlier and up 26.9% from the prior quarter.
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Analysis
Autozone (AZO) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Autozone's EBITDA came in at $4.26 billion as of May 9, 2026, down 0.9% year-over-year; for FY2025 (ended Aug 30, 2025), it was $4.22 billion, down 2.7% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $4.34 billion in FY2024 (+9.2%), $3.97 billion in FY2023 (+7.0%), $3.71 billion in FY2022 (+10.8%) and $3.35 billion in FY2021 (+19.1%).
- Quarterly EBITDA has ranged from $726.45 million in fiscal Q2 2022 to $1.47 billion in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with growth averaging 0.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 26.1% in fiscal Q2 2022, against a decline of 5.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $854.1 million (Q2 2026), $932.4 million (Q1 2026) and $1.39 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.02 Bn | 2,345.71 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 313.87 Bn | 307.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.71 Bn | 140.25 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 111.09 Bn | 104.05 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.56 Bn | 58.49 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.07 Bn | 73.16 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.21 Bn | 64.80 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.74 Bn | 50.65 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.49 Bn | 33.98 Bn | 1.38 Bn | 753.00 Mn |
| 10 | JD.com | 38.06 Bn | -82.14 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 1.09 Bn |
| Feb 14, 2026 | 856.86 Mn |
| Nov 22, 2025 | 935.61 Mn |
| Aug 30, 2025 | 1.40 Bn |
| May 10, 2025 | 1.01 Bn |
| Feb 15, 2025 | 847.73 Mn |
| Nov 23, 2024 | 977.34 Mn |
| Aug 31, 2024 | 1.48 Bn |
| May 4, 2024 | 1.03 Bn |
| Feb 10, 2024 | 870.95 Mn |
| Nov 18, 2023 | 971.64 Mn |
| Aug 26, 2023 | 1.38 Bn |
| May 6, 2023 | 976.75 Mn |
| Feb 11, 2023 | 785.71 Mn |
| Nov 19, 2022 | 834.19 Mn |
| Aug 27, 2022 | 1.25 Bn |
| May 7, 2022 | 890.21 Mn |
| Feb 12, 2022 | 729.19 Mn |
| Nov 20, 2021 | 856.71 Mn |
| Aug 28, 2021 | 1.18 Bn |
API Access
Autozone EBITDA 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=ebitda&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();