Smith & Wesson Brands (SWBI) Cash from Operations (2010 - 2026)
Smith & Wesson Brands' Cash from Operations came in at -$8.85 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$8.11 million a year earlier.
Smith & Wesson Brands (SWBI) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Smith & Wesson Brands reported Cash from Operations of $113.46 million, up 632.8% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $114.2 million.
- Cash from Operations carries a five-year compound annual growth rate of -18.5% (FY2021 to FY2026).
- Going back by fiscal year, Cash from Operations was -$7.22 million in FY2025, $106.74 million in FY2024 (+537.9%), $16.73 million in FY2023 (-87.9%) and $137.81 million in FY2022 (-56.6%).
- The fiscal Q1 2027 figure represents the lowest quarterly Cash from Operations since fiscal Q3 2025.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q1 2024 (growth of 468.6%), and the weakest in fiscal Q3 2023 (a decline of 96.8%).
- Business Quant data shows SWBI's Cash from Operations at $74.58 million (Q4 2026), $20.46 million (Q3 2026) and $27.27 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn | 167.00 Mn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn | 266.70 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn | 251.11 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn | -179.19 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn | 249.50 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn | 91.10 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn | 17.32 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn | -8.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -8.85 Mn |
| Apr 30, 2026 | 74.58 Mn |
| Jan 31, 2026 | 20.46 Mn |
| Oct 31, 2025 | 27.27 Mn |
| Jul 31, 2025 | -8.11 Mn |
| Apr 30, 2025 | 40.83 Mn |
| Jan 31, 2025 | -9.84 Mn |
| Oct 31, 2024 | -7.40 Mn |
| Jul 31, 2024 | -30.82 Mn |
| Apr 30, 2024 | 43.74 Mn |
| Jan 31, 2024 | 25.25 Mn |
| Oct 31, 2023 | -2.87 Mn |
| Jul 31, 2023 | 40.63 Mn |
| Apr 30, 2023 | 37.98 Mn |
| Jan 31, 2023 | 6.92 Mn |
| Oct 31, 2022 | -35.31 Mn |
| Jul 31, 2022 | 7.15 Mn |
| Apr 30, 2022 | 25.54 Mn |
| Jan 31, 2022 | 217.64 Mn |
| Oct 31, 2021 | -214.45 Mn |
Smith & Wesson Brands Cash from Operations 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=cash-from-operations&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();