Smith & Wesson Brands (SWBI) Revenue (2010 - 2026)
Smith & Wesson Brands' Revenue was $112.59 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 32.3% from $85.08 million a year earlier but down 36.9% from the prior quarter.
Smith & Wesson Brands (SWBI) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Smith & Wesson Brands' Revenue was $551.35 million through Jul 31, 2026, up 17.0% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $523.85 million, up 10.4% from FY2025.
- Revenue shows a five-year compound annual growth rate of -13.1% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $474.66 million in FY2025 (-11.4%), $535.83 million in FY2024 (+11.8%), $479.24 million in FY2023 (-44.5%) and $864.13 million in FY2022 (-18.4%).
- Quarterly Revenue has moved between $84.39 million (fiscal Q1 2023) and $230.48 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Revenue has increased for three straight quarters, with growth averaging 5.6% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q1 2024 (growth of 35.4%); the worst was fiscal Q1 2023 (a decline of 69.3%).
- Per Business Quant data, SWBI's Revenue in the three fiscal quarters before Q1 2027 was $178.39 million (Q4 2026), $135.71 million (Q3 2026) and $124.67 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 1.63 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 1.14 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 819.95 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 1.13 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 483.87 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 612.20 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 607.70 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 16.72 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 158.06 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 112.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 112.59 Mn |
| Apr 30, 2026 | 178.39 Mn |
| Jan 31, 2026 | 135.71 Mn |
| Oct 31, 2025 | 124.67 Mn |
| Jul 31, 2025 | 85.08 Mn |
| Apr 30, 2025 | 140.76 Mn |
| Jan 31, 2025 | 115.89 Mn |
| Oct 31, 2024 | 129.68 Mn |
| Jul 31, 2024 | 88.33 Mn |
| Apr 30, 2024 | 159.15 Mn |
| Jan 31, 2024 | 137.48 Mn |
| Oct 31, 2023 | 124.96 Mn |
| Jul 31, 2023 | 114.24 Mn |
| Apr 30, 2023 | 144.78 Mn |
| Jan 31, 2023 | 129.04 Mn |
| Oct 31, 2022 | 121.04 Mn |
| Jul 31, 2022 | 84.39 Mn |
| Apr 30, 2022 | 181.30 Mn |
| Jan 31, 2022 | 177.74 Mn |
| Oct 31, 2021 | 230.48 Mn |
Smith & Wesson Brands Revenue 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=revenue&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();