Smith & Wesson Brands (SWBI) Finished Goods (2012 - 2026)
Smith & Wesson Brands (SWBI) posted Finished Goods of $100.57 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 21.3% from $127.79 million a year earlier but up 17.5% from the prior quarter.
Smith & Wesson Brands (SWBI) Finished Goods (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Smith & Wesson Brands' Finished Goods came in at $85.6 million, down 26.0% from FY2025.
- Annual Finished Goods shows a five-year compound annual growth rate of 31.8% (FY2021 to FY2026).
- In prior fiscal years, Smith & Wesson Brands' Finished Goods was $115.69 million in FY2025 (+38.8%), $83.34 million in FY2024 (-11.1%), $93.71 million in FY2023 (+60.3%) and $58.46 million in FY2022 (+171.6%).
- Quarterly Finished Goods has run from a low of $41.61 million in fiscal Q2 2022 to a high of $127.79 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Finished Goods has declined in each of the last four quarters, with growth averaging 6.8% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was fiscal Q1 2023, with growth of 275.1%; the weakest was fiscal Q3 2024, with a decline of 28.7%.
- According to Business Quant data, Finished Goods for the three prior fiscal quarters was $85.6 million (Q4 2026), $102.9 million (Q3 2026) and $111.29 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.19 Bn | 11.24 Bn | 1.07 Bn |
| 2 | Hasbro | 12.45 Bn | 8.24 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.78 Bn | 452.27 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.11 Bn | 2.42 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.53 Bn | -18.69 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.21 Bn | -2.41 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.24 Bn | 781.41 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 673.80 Mn | 277.80 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 100.57 Mn |
| Apr 30, 2026 | 85.60 Mn |
| Jan 31, 2026 | 102.90 Mn |
| Oct 31, 2025 | 111.29 Mn |
| Jul 31, 2025 | 127.79 Mn |
| Apr 30, 2025 | 115.69 Mn |
| Jan 31, 2025 | 123.67 Mn |
| Oct 31, 2024 | 119.23 Mn |
| Jul 31, 2024 | 118.97 Mn |
| Apr 30, 2024 | 83.34 Mn |
| Jan 31, 2024 | 80.24 Mn |
| Oct 31, 2023 | 95.65 Mn |
| Jul 31, 2023 | 99.08 Mn |
| Apr 30, 2023 | 93.71 Mn |
| Jan 31, 2023 | 112.60 Mn |
| Oct 31, 2022 | 119.90 Mn |
| Jul 31, 2022 | 106.61 Mn |
| Apr 30, 2022 | 58.46 Mn |
| Jan 31, 2022 | 50.24 Mn |
| Oct 31, 2021 | 41.61 Mn |
Smith & Wesson Brands Finished Goods 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=finished-goods&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();