Smith & Wesson Brands (SWBI) Assets (2011 - 2026)
Smith & Wesson Brands (SWBI) recorded Assets of $523.3 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 5.6% from $554.63 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Smith & Wesson Brands reported Assets of $512.77 million, down 8.4% from FY2025.
- Annual Assets has a five-year compound annual growth rate of 2.8% (FY2021 to FY2026).
- Across earlier fiscal years, Assets came in at $559.61 million in FY2025 (-3.1%), $577.43 million in FY2024 (+6.7%), $541.29 million in FY2023 (+8.8%) and $497.48 million in FY2022 (+11.4%).
- Quarterly Assets has ranged from $469.31 million in fiscal Q3 2022 to $587.44 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Assets has declined for six consecutive quarters, with an average decline of 3.7% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 26.0% in fiscal Q2 2022, against a decline of 8.4% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $512.77 million (Q4 2026), $538 million (Q3 2026) and $548.58 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 10.23 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 6.04 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 2.58 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 6.36 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 1.30 Bn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 2.78 Bn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 2.06 Bn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 397.49 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 364.29 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 523.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 523.30 Mn |
| Apr 30, 2026 | 512.77 Mn |
| Jan 31, 2026 | 538.00 Mn |
| Oct 31, 2025 | 548.58 Mn |
| Jul 31, 2025 | 554.63 Mn |
| Apr 30, 2025 | 559.61 Mn |
| Jan 31, 2025 | 578.86 Mn |
| Oct 31, 2024 | 587.44 Mn |
| Jul 31, 2024 | 571.27 Mn |
| Apr 30, 2024 | 577.43 Mn |
| Jan 31, 2024 | 570.57 Mn |
| Oct 31, 2023 | 572.97 Mn |
| Jul 31, 2023 | 537.66 Mn |
| Apr 30, 2023 | 541.29 Mn |
| Jan 31, 2023 | 529.19 Mn |
| Oct 31, 2022 | 506.00 Mn |
| Jul 31, 2022 | 521.26 Mn |
| Apr 30, 2022 | 497.48 Mn |
| Jan 31, 2022 | 469.31 Mn |
| Oct 31, 2021 | 505.18 Mn |
API Access
Smith & Wesson Brands Assets 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=assets&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();