Smith & Wesson Brands (SWBI) Shares Outstanding (2009 - 2026)
Smith & Wesson Brands (SWBI) posted Weighted Average Shares Outstanding of 44.78 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 1.2% from 44.26 million a year earlier and up 0.8% from the prior quarter.
Smith & Wesson Brands (SWBI) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Smith & Wesson Brands' Weighted Average Shares Outstanding came in at 44.42 million, down 0.1% from FY2025.
- Annual Weighted Average Shares Outstanding has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- In prior fiscal years, Smith & Wesson Brands' Weighted Average Shares Outstanding was 44.48 million in FY2025 (-2.9%), 45.81 million in FY2024 (-0.1%), 45.84 million in FY2023 (-2.9%) and 47.23 million in FY2022 (-13.5%).
- The fiscal Q1 2027 figure stands as the highest quarterly Weighted Average Shares Outstanding since fiscal Q1 2025.
- On a year-over-year basis, Weighted Average Shares Outstanding increased in two of the last eight quarters, with an average decline of 1.3%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was fiscal Q1 2027, with growth of 1.2%; the weakest was fiscal Q3 2022, with a decline of 15.2%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior fiscal quarters was 44.42 million (Q4 2026), 44.49 million (Q3 2026) and 44.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.86 Bn | 11.84 Bn | 1.21 Bn | 140.80 Mn |
| 2 | Amer Sports | 16.70 Bn | 14.31 Bn | 1.07 Bn | 555.61 Mn |
| 3 | Acushnet Holdings | 4.75 Bn | 4.47 Bn | 321.99 Mn | 59.25 Mn |
| 4 | Mattel | 4.32 Bn | 1.14 Bn | 989.60 Mn | 286.10 Mn |
| 5 | Callaway Golf | 2.99 Bn | 879.46 Mn | 226.70 Mn | 177.90 Mn |
| 6 | YETI Holdings | 2.87 Bn | 2.42 Bn | 293.79 Mn | 74.32 Mn |
| 7 | King Resources Global | 2.61 Bn | 2.61 Bn | 7,651.00 | 10.88 Bn |
| 8 | Peloton Interactive | 2.54 Bn | -2.31 Bn | 342.60 Mn | 441.82 Mn |
| 9 | Sturm Ruger | 807.22 Mn | 390.67 Mn | 30.52 Mn | 15.96 Mn |
| 10 | Smith & Wesson Brands | 702.64 Mn | 614.90 Mn | 32.27 Mn | 44.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 44.78 Mn |
| Apr 30, 2026 | 44.42 Mn |
| Jan 31, 2026 | 44.49 Mn |
| Oct 31, 2025 | 44.40 Mn |
| Jul 31, 2025 | 44.26 Mn |
| Apr 30, 2025 | 44.48 Mn |
| Jan 31, 2025 | 44.04 Mn |
| Oct 31, 2024 | 44.52 Mn |
| Jul 31, 2024 | 45.32 Mn |
| Apr 30, 2024 | 45.81 Mn |
| Jan 31, 2024 | 45.62 Mn |
| Oct 31, 2023 | 45.98 Mn |
| Jul 31, 2023 | 46.10 Mn |
| Apr 30, 2023 | 45.84 Mn |
| Jan 31, 2023 | 45.90 Mn |
| Oct 31, 2022 | 45.82 Mn |
| Jul 31, 2022 | 45.74 Mn |
| Apr 30, 2022 | 47.23 Mn |
| Jan 31, 2022 | 46.76 Mn |
| Oct 31, 2021 | 48.15 Mn |
Smith & Wesson Brands 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=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SWBI", "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=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();