Smith & Wesson Brands (SWBI) Net Income (2010 - 2026)
Smith & Wesson Brands' Net Income was $2.59 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$3.41 million a year earlier and down 84.0% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Smith & Wesson Brands' Net Income was $24.48 million through Jul 31, 2026, up 106.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $18.48 million, up 37.7% from FY2025.
- Net Income shows a five-year compound annual growth rate of -40.7% (FY2021 to FY2026).
- In earlier fiscal years, Net Income was $13.43 million in FY2025 (-67.5%), $41.36 million in FY2024 (+12.2%), $36.88 million in FY2023 (-81.0%) and $194.49 million in FY2022 (-22.8%).
- Quarterly Net Income has moved between -$3.41 million (fiscal Q1 2026) and $50.94 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Net Income was higher in three of the last six quarters, with growth averaging 8.0%.
- The best year-over-year quarter for Net Income over five years was fiscal Q4 2024 (growth of 117.1%); the worst was fiscal Q1 2023 (a decline of 95.7%).
- Per Business Quant data, SWBI's Net Income in the three fiscal quarters before Q1 2027 was $16.22 million (Q4 2026), $3.75 million (Q3 2026) and $1.92 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn | 117.80 Mn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn | 161.30 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn | 125.32 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn | -18.22 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn | 71.32 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn | 75.20 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn | 61.60 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn | -6.01 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn | 6.98 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn | 2.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.59 Mn |
| Apr 30, 2026 | 16.22 Mn |
| Jan 31, 2026 | 3.75 Mn |
| Oct 31, 2025 | 1.92 Mn |
| Jul 31, 2025 | -3.41 Mn |
| Apr 30, 2025 | 8.63 Mn |
| Jan 31, 2025 | 2.10 Mn |
| Oct 31, 2024 | 4.55 Mn |
| Jul 31, 2024 | -1.86 Mn |
| Apr 30, 2024 | 27.86 Mn |
| Jan 31, 2024 | 7.88 Mn |
| Oct 31, 2023 | 2.50 Mn |
| Jul 31, 2023 | 3.12 Mn |
| Apr 30, 2023 | 12.84 Mn |
| Jan 31, 2023 | 11.08 Mn |
| Oct 31, 2022 | 9.65 Mn |
| Jul 31, 2022 | 3.31 Mn |
| Apr 30, 2022 | 36.14 Mn |
| Jan 31, 2022 | 30.54 Mn |
| Oct 31, 2021 | 50.94 Mn |
API Access
Smith & Wesson Brands Net 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=net-income&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();