Autozone (AZO) Enterprise Value (2009 - 2026)
Autozone (AZO) recorded Enterprise Value of $56.82 billion in fiscal Q3 2026 (quarter ended May 9, 2026), down 6.9% from $61.02 billion a year earlier and down 10.2% from the prior quarter.
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Analysis
Autozone (AZO) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Autozone's Enterprise Value came in at $55.98 billion as of May 9, 2026, down 6.9% year-over-year; for FY2025 (ended Aug 30, 2025), it was $69.56 billion, up 30.1% from FY2024.
- Annual Enterprise Value has increased for five straight fiscal years, with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier fiscal years, Enterprise Value came in at $53.48 billion in FY2024 (+24.1%), $43.11 billion in FY2023 (+5.7%), $40.79 billion in FY2022 (+30.3%) and $31.3 billion in FY2021 (+21.3%).
- The fiscal Q3 2026 figure is the lowest quarterly Enterprise Value since fiscal Q1 2025.
- On a year-over-year basis, Enterprise Value rose in seven of the last eight quarters, with growth averaging 17.8%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 58.6% in fiscal Q2 2022, against a decline of 6.9% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $63.28 billion (Q2 2026), $64.29 billion (Q1 2026) and $69.56 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 | 56.82 Bn |
| Feb 14, 2026 | 63.28 Bn |
| Nov 22, 2025 | 64.29 Bn |
| Aug 30, 2025 | 69.56 Bn |
| May 10, 2025 | 61.02 Bn |
| Feb 15, 2025 | 57.56 Bn |
| Nov 23, 2024 | 51.71 Bn |
| Aug 31, 2024 | 53.48 Bn |
| May 4, 2024 | 50.16 Bn |
| Feb 10, 2024 | 46.07 Bn |
| Nov 18, 2023 | 45.14 Bn |
| Aug 26, 2023 | 43.11 Bn |
| May 6, 2023 | 48.59 Bn |
| Feb 11, 2023 | 45.94 Bn |
| Nov 19, 2022 | 45.91 Bn |
| Aug 27, 2022 | 40.79 Bn |
| May 7, 2022 | 38.71 Bn |
| Feb 12, 2022 | 38.45 Bn |
| Nov 20, 2021 | 37.41 Bn |
| Aug 28, 2021 | 31.30 Bn |
API Access
Autozone Enterprise Value 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=enterprise-value&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();