Smith & Wesson Brands (SWBI) Other Operating Expenses (2010 - 2026)
Smith & Wesson Brands (SWBI) reported Other Operating Expenses of $10.16 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 16.6% from $8.71 million a year earlier but down 12.1% from the prior quarter.
Smith & Wesson Brands (SWBI) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Smith & Wesson Brands' Other Operating Expenses came in at $43.04 million, up 14.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $41.59 million, up 7.2% from FY2025.
- Other Operating Expenses has a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $38.8 million in FY2025 (-4.4%), $40.6 million in FY2024 (+9.7%), $37.01 million in FY2023 (-14.2%) and $43.16 million in FY2022 (+1.3%).
- Five-year quarterly Other Operating Expenses spans a low of $7.95 million in fiscal Q3 2025 and a high of $11.56 million in fiscal Q4 2026.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with growth averaging 4.9% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q3 2026 (growth of 38.1%); the low point was fiscal Q1 2023 (a decline of 24.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $11.56 million (Q4 2026), $10.98 million (Q3 2026) and $10.34 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 | 10.16 Mn |
| Apr 30, 2026 | 11.56 Mn |
| Jan 31, 2026 | 10.98 Mn |
| Oct 31, 2025 | 10.34 Mn |
| Jul 31, 2025 | 8.71 Mn |
| Apr 30, 2025 | 11.48 Mn |
| Jan 31, 2025 | 7.95 Mn |
| Oct 31, 2024 | 9.53 Mn |
| Jul 31, 2024 | 9.83 Mn |
| Apr 30, 2024 | 9.46 Mn |
| Jan 31, 2024 | 10.11 Mn |
| Oct 31, 2023 | 10.95 Mn |
| Jul 31, 2023 | 10.04 Mn |
| Apr 30, 2023 | 9.55 Mn |
| Jan 31, 2023 | 10.00 Mn |
| Oct 31, 2022 | 9.43 Mn |
| Jul 31, 2022 | 8.03 Mn |
| Apr 30, 2022 | 9.58 Mn |
| Jan 31, 2022 | 11.52 Mn |
| Oct 31, 2021 | 11.42 Mn |
Smith & Wesson Brands Other Operating Expenses 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=other-operating-expenses&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();