Smith & Wesson Brands (SWBI) Market Capitalization (2010 - 2026)
Smith & Wesson Brands (SWBI) reported Market Capitalization of $652.42 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 85.2% from $352.27 million a year earlier but down 5.9% from the prior quarter.
Smith & Wesson Brands (SWBI) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Smith & Wesson Brands posted Market Capitalization of $693.18 million, up 64.9% from FY2025.
- Market Capitalization has a five-year compound annual growth rate of -4.4% (FY2021 to FY2026).
- By fiscal year, Market Capitalization came in at $420.38 million in FY2025 (-45.6%), $773.18 million in FY2024 (+39.9%), $552.79 million in FY2023 (-11.7%) and $626.1 million in FY2022 (-27.9%).
- Five-year quarterly Market Capitalization spans a low of $352.27 million in fiscal Q1 2026 and a high of $1.04 billion in fiscal Q2 2022.
- Year over year, Market Capitalization has now increased in each of the last three quarters, with an average decline of 0.7% over the last eight quarters.
- The high point for year-over-year Market Capitalization in five years was fiscal Q1 2027 (growth of 85.2%); the low point was fiscal Q1 2026 (a decline of 52.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $693.18 million (Q4 2026), $485.87 million (Q3 2026) and $426.67 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 652.42 Mn |
| Apr 30, 2026 | 693.18 Mn |
| Jan 31, 2026 | 485.87 Mn |
| Oct 31, 2025 | 426.67 Mn |
| Jul 31, 2025 | 352.27 Mn |
| Apr 30, 2025 | 420.38 Mn |
| Jan 31, 2025 | 461.59 Mn |
| Oct 31, 2024 | 573.09 Mn |
| Jul 31, 2024 | 742.22 Mn |
| Apr 30, 2024 | 773.18 Mn |
| Jan 31, 2024 | 595.13 Mn |
| Oct 31, 2023 | 672.23 Mn |
| Jul 31, 2023 | 587.41 Mn |
| Apr 30, 2023 | 552.79 Mn |
| Jan 31, 2023 | 508.55 Mn |
| Oct 31, 2022 | 518.15 Mn |
| Jul 31, 2022 | 665.96 Mn |
| Apr 30, 2022 | 626.10 Mn |
| Jan 31, 2022 | 777.32 Mn |
| Oct 31, 2021 | 1.04 Bn |
Smith & Wesson Brands Market Capitalization 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=market-capitalization&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();