Smith & Wesson Brands (SWBI) Prepaid Assets (2012 - 2026)
Smith & Wesson Brands (SWBI) recorded Prepaid Assets of $8.56 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 5.3% from $9.04 million a year earlier but up 19.4% from the prior quarter.
Smith & Wesson Brands (SWBI) Prepaid Assets (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Smith & Wesson Brands reported Prepaid Assets of $7.17 million, up 14.5% from FY2025.
- Annual Prepaid Assets has increased for three straight fiscal years, though with a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- Across earlier fiscal years, Prepaid Assets came in at $6.26 million in FY2025 (+25.9%), $4.97 million in FY2024 (+1.1%), $4.92 million in FY2023 (-11.7%) and $5.57 million in FY2022 (-33.8%).
- Quarterly Prepaid Assets has ranged from $4.92 million in fiscal Q4 2023 to $10.11 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Prepaid Assets rose in three of the last eight quarters, with growth averaging 2.2%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 51.5% in fiscal Q3 2024, against a decline of 33.8% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.17 million (Q4 2026), $7.7 million (Q3 2026) and $9.66 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 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 |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 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 |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.56 Mn |
| Apr 30, 2026 | 7.17 Mn |
| Jan 31, 2026 | 7.70 Mn |
| Oct 31, 2025 | 9.66 Mn |
| Jul 31, 2025 | 9.04 Mn |
| Apr 30, 2025 | 6.26 Mn |
| Jan 31, 2025 | 7.99 Mn |
| Oct 31, 2024 | 10.11 Mn |
| Jul 31, 2024 | 9.04 Mn |
| Apr 30, 2024 | 4.97 Mn |
| Jan 31, 2024 | 9.02 Mn |
| Oct 31, 2023 | 9.87 Mn |
| Jul 31, 2023 | 8.74 Mn |
| Apr 30, 2023 | 4.92 Mn |
| Jan 31, 2023 | 5.95 Mn |
| Oct 31, 2022 | 8.06 Mn |
| Jul 31, 2022 | 8.89 Mn |
| Apr 30, 2022 | 5.57 Mn |
| Jan 31, 2022 | 7.52 Mn |
| Oct 31, 2021 | 8.32 Mn |
Smith & Wesson Brands Prepaid Assets 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=prepaid-assets&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();