Smith & Wesson Brands (SWBI) Accumulated Expenses (2013 - 2026)
Smith & Wesson Brands (SWBI) reported Accumulated Expenses of $17.1 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 5.6% from $18.1 million a year earlier and down 10.7% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Smith & Wesson Brands posted Accumulated Expenses of $19.15 million, down 22.4% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of -10.4% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $24.68 million in FY2025 (+0.8%), $24.49 million in FY2024 (+21.5%), $20.15 million in FY2023 (-14.2%) and $23.48 million in FY2022 (-29.1%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Accumulated Expenses since fiscal Q1 2024.
- Year over year, Accumulated Expenses has now declined in each of the last five quarters, with an average decline of 11.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2025 (growth of 73.8%); the low point was fiscal Q2 2026 (a decline of 37.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $19.15 million (Q4 2026), $18.77 million (Q3 2026) and $18.66 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.10 Bn | 11.15 Bn | 1.07 Bn |
| 2 | Hasbro | 12.69 Bn | 8.48 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.87 Bn | 4.61 Bn | 445.83 Mn |
| 4 | Mattel | 4.30 Bn | 972.25 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.02 Bn | 2.34 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.18 Bn | -2.44 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.09 Bn | 625.04 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 697.45 Mn | 301.45 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 646.14 Mn | 558.40 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.10 Mn |
| Apr 30, 2026 | 19.15 Mn |
| Jan 31, 2026 | 18.77 Mn |
| Oct 31, 2025 | 18.66 Mn |
| Jul 31, 2025 | 18.10 Mn |
| Apr 30, 2025 | 24.68 Mn |
| Jan 31, 2025 | 26.74 Mn |
| Oct 31, 2024 | 29.98 Mn |
| Jul 31, 2024 | 27.89 Mn |
| Apr 30, 2024 | 24.49 Mn |
| Jan 31, 2024 | 24.33 Mn |
| Oct 31, 2023 | 23.20 Mn |
| Jul 31, 2023 | 16.04 Mn |
| Apr 30, 2023 | 20.15 Mn |
| Jan 31, 2023 | 19.49 Mn |
| Oct 31, 2022 | 23.85 Mn |
| Jul 31, 2022 | 24.63 Mn |
| Apr 30, 2022 | 23.48 Mn |
| Jan 31, 2022 | 26.86 Mn |
| Oct 31, 2021 | 31.96 Mn |
API Access
Smith & Wesson Brands Accumulated Expenses 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=accumulated-expenses&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();