Smith & Wesson Brands (SWBI) Total Liabilities (2011 - 2026)
Smith & Wesson Brands' Total Liabilities came in at $149.6 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 21.4% from $190.25 million a year earlier but up 9.8% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Smith & Wesson Brands' Total Liabilities was $136.21 million, down 27.2% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $187.16 million in FY2025 (+5.4%), $177.51 million in FY2024 (+13.3%), $156.67 million in FY2023 (+14.4%) and $136.96 million in FY2022 (-23.9%).
- The five-year range for quarterly Total Liabilities is $136.21 million (fiscal Q4 2026) to $215.96 million (fiscal Q2 2025).
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with an average decline of 7.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2024 (growth of 43.1%), and the weakest in fiscal Q4 2026 (a decline of 27.2%).
- Business Quant data shows SWBI's Total Liabilities at $136.21 million (Q4 2026), $174.59 million (Q3 2026) and $185.39 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 3.34 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 5.31 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 1.65 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 4.36 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 692.22 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 620.50 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 2.20 Bn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 9.45 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 74.49 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 149.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 149.60 Mn |
| Apr 30, 2026 | 136.21 Mn |
| Jan 31, 2026 | 174.59 Mn |
| Oct 31, 2025 | 185.39 Mn |
| Jul 31, 2025 | 190.25 Mn |
| Apr 30, 2025 | 187.16 Mn |
| Jan 31, 2025 | 211.93 Mn |
| Oct 31, 2024 | 215.96 Mn |
| Jul 31, 2024 | 191.28 Mn |
| Apr 30, 2024 | 177.51 Mn |
| Jan 31, 2024 | 194.14 Mn |
| Oct 31, 2023 | 199.47 Mn |
| Jul 31, 2023 | 154.95 Mn |
| Apr 30, 2023 | 156.67 Mn |
| Jan 31, 2023 | 154.83 Mn |
| Oct 31, 2022 | 139.36 Mn |
| Jul 31, 2022 | 161.81 Mn |
| Apr 30, 2022 | 136.96 Mn |
| Jan 31, 2022 | 143.00 Mn |
| Oct 31, 2021 | 156.87 Mn |
API Access
Smith & Wesson Brands Total Liabilities 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-liabilities&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();