Autozone (AZO) Shares Outstanding (2009 - 2026)
Autozone (AZO) reported Weighted Average Shares Outstanding of 16.48 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), down 1.8% from 16.79 million a year earlier.
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Analysis
Autozone (AZO) Shares Outstanding (2009 - 2026) Analysis & Trends
Dating back to fiscal Q2 2009, Autozone's Weighted Average Shares Outstanding record includes 71 quarters.
- Weighted Average Shares Outstanding has declined for 17 consecutive fiscal years, with a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding came in at 16.79 million in FY2025 (-3.0%), 17.31 million in FY2024 (-6.5%), 18.51 million in FY2023 (-7.9%) and 20.11 million in FY2022 (-9.6%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 16.47 million in fiscal Q3 2026 and a high of 20.99 million in fiscal Q1 2022.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last 67 quarters, with an average decline of 2.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding ranged from 1.3% (fiscal Q2 2026) to 9.8% (fiscal Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 10.80 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 559.00 Mn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 825.20 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 317.69 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 454.40 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 720.86 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 16.48 Mn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 16.48 Mn |
| May 9, 2026 | 16.47 Mn |
| Feb 14, 2026 | 16.57 Mn |
| Nov 22, 2025 | 16.65 Mn |
| Aug 30, 2025 | 16.79 Mn |
| May 10, 2025 | 16.75 Mn |
| Feb 15, 2025 | 16.79 Mn |
| Nov 23, 2024 | 16.91 Mn |
| Aug 31, 2024 | 17.31 Mn |
| May 4, 2024 | 17.27 Mn |
| Feb 10, 2024 | 17.32 Mn |
| Nov 18, 2023 | 17.71 Mn |
| Aug 26, 2023 | 18.51 Mn |
| May 6, 2023 | 18.39 Mn |
| Feb 11, 2023 | 18.71 Mn |
| Nov 19, 2022 | 19.01 Mn |
| Aug 27, 2022 | 20.11 Mn |
| May 7, 2022 | 19.80 Mn |
| Feb 12, 2022 | 20.51 Mn |
| Nov 20, 2021 | 20.99 Mn |
API Access
Autozone Shares Outstanding 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=shares-outstanding&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();