Smith & Wesson Brands (SWBI) Cash & Equivalents (2010 - 2026)
Smith & Wesson Brands' Cash & Equivalents came in at $18.7 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 4.1% from $17.96 million a year earlier but down 33.7% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Smith & Wesson Brands' Cash & Equivalents was $28.19 million, up 11.7% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of -24.2% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $25.23 million in FY2025 (-58.5%), $60.84 million in FY2024 (+13.6%), $53.56 million in FY2023 (-55.6%) and $120.73 million in FY2022 (+6.8%).
- The five-year range for quarterly Cash & Equivalents is $17.96 million (fiscal Q1 2026) to $159.39 million (fiscal Q2 2022).
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 27.6%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2022 (growth of 186.9%), and the weakest in fiscal Q2 2023 (a decline of 73.0%).
- Business Quant data shows SWBI's Cash & Equivalents at $28.19 million (Q4 2026), $18.42 million (Q3 2026) and $22.43 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | 720.40 Mn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 880.50 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | 67.94 Mn |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 523.86 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | 59.82 Mn |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | 278.10 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | 1.21 Bn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | 229.60 Mn |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 30.65 Mn |
| 10 | Smith & Wesson Brands | 656.45 Mn | 568.71 Mn | 32.27 Mn | 18.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 18.70 Mn |
| Apr 30, 2026 | 28.19 Mn |
| Jan 31, 2026 | 18.42 Mn |
| Oct 31, 2025 | 22.43 Mn |
| Jul 31, 2025 | 17.96 Mn |
| Apr 30, 2025 | 25.23 Mn |
| Jan 31, 2025 | 26.70 Mn |
| Oct 31, 2024 | 39.09 Mn |
| Jul 31, 2024 | 35.52 Mn |
| Apr 30, 2024 | 60.84 Mn |
| Jan 31, 2024 | 47.37 Mn |
| Oct 31, 2023 | 44.19 Mn |
| Jul 31, 2023 | 55.48 Mn |
| Apr 30, 2023 | 53.56 Mn |
| Jan 31, 2023 | 44.60 Mn |
| Oct 31, 2022 | 42.98 Mn |
| Jul 31, 2022 | 110.45 Mn |
| Apr 30, 2022 | 120.73 Mn |
| Jan 31, 2022 | 107.27 Mn |
| Oct 31, 2021 | 159.39 Mn |
API Access
Smith & Wesson Brands Cash & Equivalents 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-and-equivalents&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();