Smith & Wesson Brands (SWBI) Income After Tax (2009 - 2026)
Smith & Wesson Brands' Income After Tax came in at $2.59 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$3.41 million a year earlier and down 84.0% from the prior quarter.
Smith & Wesson Brands (SWBI) Income After Tax (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Smith & Wesson Brands reported Income After Tax of $24.48 million, up 106.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $18.48 million, up 37.7% from FY2025.
- Income After Tax carries a five-year compound annual growth rate of -40.3% (FY2021 to FY2026).
- Going back by fiscal year, Income After Tax 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 (-20.1%).
- The five-year range for quarterly Income After Tax is -$3.41 million (fiscal Q1 2026) to $50.94 million (fiscal Q2 2022).
- Year-over-year, Income After Tax increased in three of the last six quarters, with growth averaging 8.0%.
- The fastest year-over-year change in Income After Tax over five years came in fiscal Q4 2024 (growth of 117.1%), and the weakest in fiscal Q1 2023 (a decline of 95.7%).
- Business Quant data shows SWBI's Income After Tax at $16.22 million (Q4 2026), $3.75 million (Q3 2026) and $1.92 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.86 Bn | 11.84 Bn | 1.21 Bn | 395.00 Mn |
| 2 | Amer Sports | 16.70 Bn | 14.31 Bn | 1.07 Bn | 117.80 Mn |
| 3 | Acushnet Holdings | 4.75 Bn | 4.47 Bn | 321.99 Mn | 50.15 Mn |
| 4 | Mattel | 4.32 Bn | 1.14 Bn | 989.60 Mn | 353.60 Mn |
| 5 | Callaway Golf | 2.99 Bn | 879.46 Mn | 226.70 Mn | 48.10 Mn |
| 6 | YETI Holdings | 2.87 Bn | 2.42 Bn | 293.79 Mn | 72.66 Mn |
| 7 | King Resources Global | 2.61 Bn | 2.61 Bn | 7,651.00 | -521,951.00 |
| 8 | Peloton Interactive | 2.54 Bn | -2.31 Bn | 342.60 Mn | 96.20 Mn |
| 9 | Sturm Ruger | 807.22 Mn | 390.67 Mn | 30.52 Mn | 5.81 Mn |
| 10 | Smith & Wesson Brands | 702.64 Mn | 614.90 Mn | 32.27 Mn | 2.59 Mn |
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 | 36.13 Mn |
| Jan 31, 2022 | 30.54 Mn |
| Oct 31, 2021 | 50.94 Mn |
Smith & Wesson Brands Income After Tax 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=profit-after-tax&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();