Williams Sonoma (WSM) Shares Outstanding (Diluted) (2009 - 2026)
Williams Sonoma (WSM) posted Weighted Average Shares Outstanding (Diluted) of 118.89 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 3.8% from 123.6 million a year earlier.
Williams Sonoma (WSM) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Williams Sonoma's Weighted Average Shares Outstanding (Diluted) came in at 123.15 million, down 3.8% from FY2025.
- Annual Weighted Average Shares Outstanding (Diluted) has declined for 15 consecutive fiscal years, with a five-year compound annual growth rate of -4.9% (FY2021 to FY2026).
- In prior fiscal years, Williams Sonoma's Weighted Average Shares Outstanding (Diluted) was 128.04 million in FY2025 (-1.9%), 130.54 million in FY2024 (-5.5%), 138.2 million in FY2023 (-9.5%) and 152.71 million in FY2022 (-3.4%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to fiscal Q2 2010.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was fiscal Q2 2025, with growth of 0.6%; the weakest was fiscal Q3 2023, with a decline of 11.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 10.93 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 739.91 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 319.45 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 456.60 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 812.20 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 16.87 Mn |
| 10 | Williams Sonoma | 30.81 Bn | 27.22 Bn | 1.01 Bn | 118.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 118.89 Mn |
| May 3, 2026 | 119.89 Mn |
| Feb 1, 2026 | 123.15 Mn |
| Nov 2, 2025 | 123.27 Mn |
| Aug 3, 2025 | 123.60 Mn |
| May 4, 2025 | 124.79 Mn |
| Feb 2, 2025 | 128.04 Mn |
| Oct 27, 2024 | 126.89 Mn |
| Jul 28, 2024 | 129.81 Mn |
| Apr 28, 2024 | 130.63 Mn |
| Jan 28, 2024 | 130.54 Mn |
| Oct 29, 2023 | 129.55 Mn |
| Jul 30, 2023 | 129.05 Mn |
| Apr 30, 2023 | 133.39 Mn |
| Jan 29, 2023 | 138.20 Mn |
| Oct 30, 2022 | 135.23 Mn |
| Jul 31, 2022 | 138.16 Mn |
| May 1, 2022 | 145.30 Mn |
| Jan 30, 2022 | 152.71 Mn |
| Oct 31, 2021 | 151.89 Mn |
Williams Sonoma 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=WSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "WSM", "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=WSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();