Smith & Wesson Brands (SWBI) Operating Income (2010 - 2026)
Smith & Wesson Brands (SWBI) reported Operating Income of $4.22 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$2.96 million a year earlier and down 80.2% from the prior quarter.
Smith & Wesson Brands (SWBI) Operating Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Smith & Wesson Brands' Operating Income came in at $36.39 million, up 62.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $29.21 million, up 22.3% from FY2025.
- Operating Income has a five-year compound annual growth rate of -38.0% (FY2021 to FY2026).
- By fiscal year, Operating Income came in at $23.88 million in FY2025 (-49.3%), $47.1 million in FY2024 (-2.7%), $48.41 million in FY2023 (-80.8%) and $251.65 million in FY2022 (-21.3%).
- Five-year quarterly Operating Income spans a low of -$2.96 million in fiscal Q1 2026 and a high of $65.39 million in fiscal Q2 2022.
- Year over year, Operating Income gained in three of the last six quarters, with growth averaging 8.0%.
- The high point for year-over-year Operating Income in five years was fiscal Q2 2025 (growth of 100.0%); the low point was fiscal Q1 2023 (a decline of 96.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $21.34 million (Q4 2026), $6.71 million (Q3 2026) and $4.12 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 191.70 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 252.50 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 176.59 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 10.87 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 93.52 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 114.80 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 81.20 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | -7.83 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 7.63 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 4.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.22 Mn |
| Apr 30, 2026 | 21.34 Mn |
| Jan 31, 2026 | 6.71 Mn |
| Oct 31, 2025 | 4.12 Mn |
| Jul 31, 2025 | -2.96 Mn |
| Apr 30, 2025 | 13.13 Mn |
| Jan 31, 2025 | 4.75 Mn |
| Oct 31, 2024 | 7.54 Mn |
| Jul 31, 2024 | -1.53 Mn |
| Apr 30, 2024 | 27.70 Mn |
| Jan 31, 2024 | 11.28 Mn |
| Oct 31, 2023 | 3.77 Mn |
| Jul 31, 2023 | 4.35 Mn |
| Apr 30, 2023 | 17.83 Mn |
| Jan 31, 2023 | 14.14 Mn |
| Oct 31, 2022 | 12.53 Mn |
| Jul 31, 2022 | 3.92 Mn |
| Apr 30, 2022 | 46.65 Mn |
| Jan 31, 2022 | 39.72 Mn |
| Oct 31, 2021 | 65.39 Mn |
Smith & Wesson Brands Operating Income 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=operating-income&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();