Smith & Wesson Brands (SWBI) Buildings (2012 - 2026)
Smith & Wesson Brands (SWBI) recorded Buildings of $159.5 million in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 3.3% from $154.4 million a year earlier.
Smith & Wesson Brands (SWBI) Buildings (2012 - 2026) Analysis & Trends
Starting with fiscal Q4 2012, Smith & Wesson Brands' Buildings history includes 15 quarters.
- Annual Buildings has a five-year compound annual growth rate of 34.3% (FY2021 to FY2026).
- Across earlier fiscal years, Buildings came in at $154.4 million in FY2025 (-0.1%), $154.51 million in FY2024 (+285.0%), $40.13 million in FY2023 (+4.1%) and $38.55 million in FY2022 (+5.5%).
- The fiscal Q4 2026 figure is the highest quarterly Buildings in data going back to fiscal Q4 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 159.50 Mn |
| Apr 30, 2025 | 154.40 Mn |
| Apr 30, 2024 | 154.51 Mn |
| Apr 30, 2023 | 40.13 Mn |
| Apr 30, 2022 | 38.55 Mn |
| Apr 30, 2021 | 36.53 Mn |
| Apr 30, 2020 | 34.13 Mn |
| Apr 30, 2019 | 34.58 Mn |
| Apr 30, 2018 | 29.91 Mn |
| Apr 30, 2017 | 28.11 Mn |
| Apr 30, 2016 | 23.39 Mn |
| Apr 30, 2015 | 19.95 Mn |
| Apr 30, 2014 | 12.19 Mn |
| Apr 30, 2013 | 10.80 Mn |
| Apr 30, 2012 | 7.45 Mn |
Smith & Wesson Brands Buildings 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=buildings&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();