Smith & Wesson Brands (SWBI) Selling, General & Administrative (2010 - 2026)
Smith & Wesson Brands (SWBI) reported Selling, General & Administrative of $15.34 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 15.2% from $13.32 million a year earlier but down 13.5% from the prior quarter.
Smith & Wesson Brands (SWBI) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Smith & Wesson Brands' Selling, General & Administrative came in at $62.02 million, up 13.0% year-over-year; for FY2026 (ended Apr 30, 2026), it was $60 million, up 9.2% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $54.93 million in FY2025 (-13.0%), $63.13 million in FY2024 (+2.5%), $61.57 million in FY2023 (-15.1%) and $72.49 million in FY2022 (-8.5%).
- Five-year quarterly Selling, General & Administrative spans a low of $12.38 million in fiscal Q3 2025 and a high of $23.44 million in fiscal Q2 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 1.4% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2024 (growth of 38.2%); the low point was fiscal Q2 2023 (a decline of 34.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $17.74 million (Q4 2026), $15.48 million (Q3 2026) and $13.47 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 338.70 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | 246.24 Mn |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | 176.10 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | 116.20 Mn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | 10.80 Mn |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 15.81 Mn |
| 10 | Smith & Wesson Brands | 656.45 Mn | 568.71 Mn | 32.27 Mn | 15.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.34 Mn |
| Apr 30, 2026 | 17.74 Mn |
| Jan 31, 2026 | 15.48 Mn |
| Oct 31, 2025 | 13.47 Mn |
| Jul 31, 2025 | 13.32 Mn |
| Apr 30, 2025 | 13.97 Mn |
| Jan 31, 2025 | 12.38 Mn |
| Oct 31, 2024 | 15.21 Mn |
| Jul 31, 2024 | 13.37 Mn |
| Apr 30, 2024 | 17.56 Mn |
| Jan 31, 2024 | 16.06 Mn |
| Oct 31, 2023 | 15.32 Mn |
| Jul 31, 2023 | 14.21 Mn |
| Apr 30, 2023 | 12.71 Mn |
| Jan 31, 2023 | 15.58 Mn |
| Oct 31, 2022 | 15.44 Mn |
| Jul 31, 2022 | 17.85 Mn |
| Apr 30, 2022 | 14.00 Mn |
| Jan 31, 2022 | 17.44 Mn |
| Oct 31, 2021 | 23.44 Mn |
Smith & Wesson Brands Selling, General & Administrative 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=selling-general-and-administrative&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();