Smith & Wesson Brands (SWBI) Research & Development (2010 - 2026)
Smith & Wesson Brands' Research & Development came in at $2.56 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 15.0% from $3.01 million a year earlier but up 4.3% from the prior quarter.
Smith & Wesson Brands (SWBI) Research & Development (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Smith & Wesson Brands reported Research & Development of $9.85 million, down 2.0% year-over-year; for FY2026 (ended Apr 30, 2026), it was $10.3 million, up 7.7% from FY2025.
- Research & Development carries a five-year compound annual growth rate of 6.6% (FY2021 to FY2026).
- Going back by fiscal year, Research & Development was $9.57 million in FY2025 (+31.8%), $7.26 million in FY2024 (-3.9%), $7.55 million in FY2023 (+4.0%) and $7.26 million in FY2022 (-2.9%).
- The five-year range for quarterly Research & Development is $1.67 million (fiscal Q1 2023) to $3.01 million (fiscal Q1 2026).
- Year-over-year, Research & Development increased in six of the last eight quarters, with growth averaging 13.5%.
- The fastest year-over-year change in Research & Development over five years came in fiscal Q3 2025 (growth of 45.7%), and the weakest in fiscal Q3 2026 (a decline of 15.9%).
- Business Quant data shows SWBI's Research & Development at $2.45 million (Q4 2026), $2.41 million (Q3 2026) and $2.43 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | - |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 93.60 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 20.76 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 15.80 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 56.90 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 430,759.00 |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | - |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 2.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.56 Mn |
| Apr 30, 2026 | 2.45 Mn |
| Jan 31, 2026 | 2.41 Mn |
| Oct 31, 2025 | 2.43 Mn |
| Jul 31, 2025 | 3.01 Mn |
| Apr 30, 2025 | 1.96 Mn |
| Jan 31, 2025 | 2.87 Mn |
| Oct 31, 2024 | 2.22 Mn |
| Jul 31, 2024 | 2.52 Mn |
| Apr 30, 2024 | 1.77 Mn |
| Jan 31, 2024 | 1.97 Mn |
| Oct 31, 2023 | 1.72 Mn |
| Jul 31, 2023 | 1.80 Mn |
| Apr 30, 2023 | 1.88 Mn |
| Jan 31, 2023 | 2.13 Mn |
| Oct 31, 2022 | 1.87 Mn |
| Jul 31, 2022 | 1.67 Mn |
| Apr 30, 2022 | 1.99 Mn |
| Jan 31, 2022 | 1.72 Mn |
| Oct 31, 2021 | 1.74 Mn |
Smith & Wesson Brands Research & Development 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=research-and-development&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();