Smith & Wesson Brands (SWBI) Other Accumulated Expenses (2011 - 2026)
Smith & Wesson Brands (SWBI) reported Other Accumulated Expenses of $3.51 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 10.7% from $3.93 million a year earlier and down 13.4% from the prior quarter.
Smith & Wesson Brands (SWBI) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Smith & Wesson Brands posted Other Accumulated Expenses of $4.05 million, down 41.9% from FY2025.
- Other Accumulated Expenses has a five-year compound annual growth rate of -19.8% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $6.97 million in FY2025 (+19.4%), $5.84 million in FY2024 (+27.0%), $4.6 million in FY2023 (-34.4%) and $7.01 million in FY2022 (-42.6%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Other Accumulated Expenses since fiscal Q1 2024.
- Year over year, Other Accumulated Expenses has now declined in each of the last five quarters, with an average decline of 13.1% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q1 2025 (growth of 127.3%); the low point was fiscal Q1 2024 (a decline of 57.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.05 million (Q4 2026), $4.21 million (Q3 2026) and $3.89 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 656.45 Mn | 568.71 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.51 Mn |
| Apr 30, 2026 | 4.05 Mn |
| Jan 31, 2026 | 4.21 Mn |
| Oct 31, 2025 | 3.89 Mn |
| Jul 31, 2025 | 3.93 Mn |
| Apr 30, 2025 | 6.97 Mn |
| Jan 31, 2025 | 6.27 Mn |
| Oct 31, 2024 | 6.74 Mn |
| Jul 31, 2024 | 6.46 Mn |
| Apr 30, 2024 | 5.84 Mn |
| Jan 31, 2024 | 5.48 Mn |
| Oct 31, 2023 | 5.25 Mn |
| Jul 31, 2023 | 2.84 Mn |
| Apr 30, 2023 | 4.60 Mn |
| Jan 31, 2023 | 3.55 Mn |
| Oct 31, 2022 | 7.35 Mn |
| Jul 31, 2022 | 6.73 Mn |
| Apr 30, 2022 | 7.01 Mn |
| Jan 31, 2022 | 8.04 Mn |
| Oct 31, 2021 | 10.87 Mn |
Smith & Wesson Brands Other 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=other-accumulated-expenses&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();