Smith & Wesson Brands (SWBI) Total Debt (2011 - 2026)
Smith & Wesson Brands (SWBI) recorded Total Debt of $39.19 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 58.4% from $94.15 million a year earlier but up 104.9% from the prior quarter.
Smith & Wesson Brands (SWBI) Total Debt (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Smith & Wesson Brands reported Total Debt of $19.12 million, down 75.8% from FY2025.
- Annual Total Debt has a three-year compound annual growth rate of -8.3% (FY2023 to FY2026).
- Across earlier fiscal years, Total Debt came in at $79.1 million in FY2025 (+98.3%), $39.88 million in FY2024 (+60.9%) and $24.79 million in FY2023.
- Quarterly Total Debt has ranged from $19.12 million in fiscal Q4 2026 to $109.05 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Total Debt has declined for four consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 181.7% in fiscal Q1 2025, against a decline of 75.8% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $19.12 million (Q4 2026), $74.06 million (Q3 2026) and $88.99 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 147.40 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 3.54 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 960.07 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 2.33 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 100.79 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 47.20 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 954.20 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | - |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 39.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 39.19 Mn |
| Apr 30, 2026 | 19.12 Mn |
| Jan 31, 2026 | 74.06 Mn |
| Oct 31, 2025 | 88.99 Mn |
| Jul 31, 2025 | 94.15 Mn |
| Apr 30, 2025 | 79.10 Mn |
| Jan 31, 2025 | 109.05 Mn |
| Oct 31, 2024 | 98.99 Mn |
| Jul 31, 2024 | 69.90 Mn |
| Apr 30, 2024 | 39.88 Mn |
| Jan 31, 2024 | 64.86 Mn |
| Oct 31, 2023 | 64.84 Mn |
| Jul 31, 2023 | 24.81 Mn |
| Apr 30, 2023 | 24.79 Mn |
| Jul 31, 2020 | 24.31 Mn |
| Apr 30, 2020 | 159.17 Mn |
| Jan 31, 2020 | 199.03 Mn |
| Oct 31, 2019 | 202.80 Mn |
| Jul 31, 2019 | 179.27 Mn |
| Apr 30, 2019 | 155.73 Mn |
Smith & Wesson Brands Total Debt 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=total-debt&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();