Autozone (AZO) Shares Outstanding (Diluted) (2009 - 2026)
Autozone's Shares Outstanding (Diluted) came in at 16.85 million for fiscal Q3 2026 (quarter ended May 9, 2026), down 2.1% from 17.21 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Autozone (AZO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025 (ended Aug 30, 2025), Autozone's Shares Outstanding (Diluted) was 17.25 million, down 3.1% from FY2024.
- Shares Outstanding (Diluted) has declined in each of the last 16 fiscal years, with a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding (Diluted) was 17.8 million in FY2024 (-6.8%), 19.1 million in FY2023 (-7.9%), 20.73 million in FY2022 (-9.1%) and 22.8 million in FY2021 (-5.4%).
- The fiscal Q3 2026 figure represents the lowest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q2 2009.
- Year-over-year, Shares Outstanding (Diluted) has declined for 66 consecutive quarters, with an average decline of 3.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 1.5% in fiscal Q1 2026 to 9.3% in fiscal Q3 2022.
- Business Quant data shows AZO's Shares Outstanding (Diluted) at 16.97 million (Q2 2026), 17.1 million (Q1 2026) and 17.25 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.85 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 1.49 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 16.85 Mn |
| Feb 14, 2026 | 16.97 Mn |
| Nov 22, 2025 | 17.10 Mn |
| Aug 30, 2025 | 17.25 Mn |
| May 10, 2025 | 17.21 Mn |
| Feb 15, 2025 | 17.25 Mn |
| Nov 23, 2024 | 17.37 Mn |
| Aug 31, 2024 | 17.80 Mn |
| May 4, 2024 | 17.76 Mn |
| Feb 10, 2024 | 17.83 Mn |
| Nov 18, 2023 | 18.23 Mn |
| Aug 26, 2023 | 19.10 Mn |
| May 6, 2023 | 18.98 Mn |
| Feb 11, 2023 | 19.34 Mn |
| Nov 19, 2022 | 19.65 Mn |
| Aug 27, 2022 | 20.73 Mn |
| May 7, 2022 | 20.41 Mn |
| Feb 12, 2022 | 21.16 Mn |
| Nov 20, 2021 | 21.61 Mn |
| Aug 28, 2021 | 22.80 Mn |
API Access
Autozone Shares Outstanding (Diluted) 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-diluted&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();