Smith & Wesson Brands (SWBI) Return on Sales [ROS] (2010 - 2026)
Smith & Wesson Brands (SWBI) reported Return on Sales [ROS] of 3.75% for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 7.22 percentage points from -3.48% a year earlier but down 8.22 percentage points from the prior quarter.
Smith & Wesson Brands (SWBI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Smith & Wesson Brands' Return on Sales [ROS] came in at 6.60%, up 1.84 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was 5.58%, up 0.54 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -24.60 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 5.03% in FY2025 (-3.76 pp), 8.79% in FY2024 (-1.31 pp), 10.10% in FY2023 (-19.02 pp) and 29.12% in FY2022 (-1.05 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -3.48% in fiscal Q1 2026 and a high of 28.37% in fiscal Q2 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -0.37 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q1 2027 (a gain of 7.22 percentage points); the low point was fiscal Q1 2023 (a drop of 31.73 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 11.96% (Q4 2026), 4.95% (Q3 2026) and 3.30% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.63 Bn | 12.39 Bn | 867.20 Mn | 22.16% |
| 2 | Amer Sports | 15.65 Bn | 13.24 Bn | 1.07 Bn | 11.74% |
| 3 | Acushnet Holdings | 4.86 Bn | 4.61 Bn | 445.83 Mn | 21.54% |
| 4 | Mattel | 4.76 Bn | 1.44 Bn | 542.12 Mn | 0.97% |
| 5 | YETI Holdings | 3.20 Bn | 2.52 Bn | 322.52 Mn | 19.33% |
| 6 | Callaway Golf | 2.54 Bn | -5.44 Mn | 306.70 Mn | 18.75% |
| 7 | Peloton Interactive | 2.27 Bn | -2.34 Bn | 344.40 Mn | 13.36% |
| 8 | Unusual Machines | 829.06 Mn | 365.55 Mn | 5.80 Mn | -46.85% |
| 9 | Sturm Ruger | 727.00 Mn | 331.00 Mn | 33.74 Mn | 4.83% |
| 10 | Smith & Wesson Brands | 612.12 Mn | 524.37 Mn | 32.27 Mn | 3.75% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.75% |
| Apr 30, 2026 | 11.96% |
| Jan 31, 2026 | 4.95% |
| Oct 31, 2025 | 3.30% |
| Jul 31, 2025 | -3.48% |
| Apr 30, 2025 | 9.33% |
| Jan 31, 2025 | 4.09% |
| Oct 31, 2024 | 5.81% |
| Jul 31, 2024 | -1.73% |
| Apr 30, 2024 | 17.41% |
| Jan 31, 2024 | 8.21% |
| Oct 31, 2023 | 3.02% |
| Jul 31, 2023 | 3.81% |
| Apr 30, 2023 | 12.31% |
| Jan 31, 2023 | 10.96% |
| Oct 31, 2022 | 10.35% |
| Jul 31, 2022 | 4.64% |
| Apr 30, 2022 | 25.73% |
| Jan 31, 2022 | 22.35% |
| Oct 31, 2021 | 28.37% |
Smith & Wesson Brands Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();