Smith & Wesson Brands (SWBI) Receivables (2011 - 2026)
Smith & Wesson Brands' Receivables was $29.71 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 28.1% from $41.31 million a year earlier and down 25.7% from the prior quarter.
Smith & Wesson Brands (SWBI) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Receivables at Smith & Wesson Brands came in at $40.01 million, down 28.4% from FY2025.
- Receivables shows a five-year compound annual growth rate of -9.9% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $55.87 million in FY2025 (-5.4%), $59.07 million in FY2024 (+7.1%), $55.15 million in FY2023 (-12.0%) and $62.7 million in FY2022 (-7.0%).
- The fiscal Q1 2027 figure marks the lowest quarterly Receivables since fiscal Q1 2024.
- Compared with a year earlier, Receivables has declined for eight straight quarters, with an average decline of 14.6% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q1 2025 (growth of 69.6%); the worst was fiscal Q1 2023 (a decline of 42.3%).
- Per Business Quant data, SWBI's Receivables in the three fiscal quarters before Q1 2027 was $40.01 million (Q4 2026), $50.83 million (Q3 2026) and $45.83 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 575.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 843.70 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 489.38 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 820.32 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 174.78 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 315.70 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 82.50 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 9.33 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 77.11 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 29.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 29.71 Mn |
| Apr 30, 2026 | 40.01 Mn |
| Jan 31, 2026 | 50.83 Mn |
| Oct 31, 2025 | 45.83 Mn |
| Jul 31, 2025 | 41.31 Mn |
| Apr 30, 2025 | 55.87 Mn |
| Jan 31, 2025 | 57.44 Mn |
| Oct 31, 2024 | 52.71 Mn |
| Jul 31, 2024 | 47.76 Mn |
| Apr 30, 2024 | 59.07 Mn |
| Jan 31, 2024 | 60.65 Mn |
| Oct 31, 2023 | 59.77 Mn |
| Jul 31, 2023 | 28.16 Mn |
| Apr 30, 2023 | 55.15 Mn |
| Jan 31, 2023 | 58.25 Mn |
| Oct 31, 2022 | 44.38 Mn |
| Jul 31, 2022 | 23.78 Mn |
| Apr 30, 2022 | 62.70 Mn |
| Jan 31, 2022 | 49.39 Mn |
| Oct 31, 2021 | 44.23 Mn |
Smith & Wesson Brands Receivables 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=receivables&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();