Smith & Wesson Brands (SWBI) Shares Outstanding (Diluted) (2010 - 2026)
Smith & Wesson Brands' Shares Outstanding (Diluted) was 45.48 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 2.7% from 44.26 million a year earlier and up 1.2% from the prior quarter.
Smith & Wesson Brands (SWBI) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Shares Outstanding (Diluted) at Smith & Wesson Brands came in at 44.93 million, unchanged from FY2025.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -4.1% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Diluted) was 44.93 million in FY2025 (-2.8%), 46.25 million in FY2024 (+0.2%), 46.17 million in FY2023 (-3.3%) and 47.73 million in FY2022 (-13.8%).
- The fiscal Q1 2027 figure marks the highest quarterly Shares Outstanding (Diluted) since fiscal Q4 2024.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in two of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q1 2027 (growth of 2.7%); the worst was fiscal Q3 2022 (a decline of 15.3%).
- Per Business Quant data, SWBI's Shares Outstanding (Diluted) in the three fiscal quarters before Q1 2027 was 44.93 million (Q4 2026), 44.98 million (Q3 2026) and 44.74 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.10 Bn | 11.15 Bn | 1.07 Bn | 563.08 Mn |
| 2 | Hasbro | 12.69 Bn | 8.48 Bn | 867.20 Mn | 143.10 Mn |
| 3 | Acushnet Holdings | 4.87 Bn | 4.61 Bn | 445.83 Mn | 59.93 Mn |
| 4 | Mattel | 4.30 Bn | 972.25 Mn | 542.12 Mn | 288.93 Mn |
| 5 | YETI Holdings | 3.02 Bn | 2.34 Bn | 322.52 Mn | 75.78 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 190.10 Mn |
| 7 | Peloton Interactive | 2.18 Bn | -2.44 Bn | 344.40 Mn | 436.22 Mn |
| 8 | Unusual Machines | 1.09 Bn | 625.04 Mn | 5.80 Mn | 48.61 Mn |
| 9 | Sturm Ruger | 697.45 Mn | 301.45 Mn | 33.74 Mn | 16.27 Mn |
| 10 | Smith & Wesson Brands | 646.14 Mn | 558.40 Mn | 32.27 Mn | 45.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 45.48 Mn |
| Apr 30, 2026 | 44.93 Mn |
| Jan 31, 2026 | 44.98 Mn |
| Oct 31, 2025 | 44.74 Mn |
| Jul 31, 2025 | 44.26 Mn |
| Apr 30, 2025 | 44.93 Mn |
| Jan 31, 2025 | 44.40 Mn |
| Oct 31, 2024 | 44.94 Mn |
| Jul 31, 2024 | 45.32 Mn |
| Apr 30, 2024 | 46.25 Mn |
| Jan 31, 2024 | 46.03 Mn |
| Oct 31, 2023 | 46.36 Mn |
| Jul 31, 2023 | 46.55 Mn |
| Apr 30, 2023 | 46.17 Mn |
| Jan 31, 2023 | 46.17 Mn |
| Oct 31, 2022 | 46.11 Mn |
| Jul 31, 2022 | 46.10 Mn |
| Apr 30, 2022 | 47.73 Mn |
| Jan 31, 2022 | 47.18 Mn |
| Oct 31, 2021 | 48.69 Mn |
Smith & Wesson Brands 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=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();