Smith & Wesson Brands (SWBI) Sales of Property, Plant and Equipment (2010 - 2026)
Smith & Wesson Brands (SWBI) posted Sales of Property, Plant and Equipment of $99,000 for fiscal Q4 2026 (quarter ended Apr 30, 2026), compared with -$49,000 a year earlier and up 13.8% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) Sales of Property, Plant and Equipment (2010 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Smith & Wesson Brands' Sales of Property, Plant and Equipment came in at $235,000, down 91.0% from FY2025.
- Annual Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 15.8% (FY2021 to FY2026).
- In prior fiscal years, Smith & Wesson Brands' Sales of Property, Plant and Equipment was $2.62 million in FY2025 (-11.4%), $2.96 million in FY2024, $118,000 in FY2023 (-15.1%) and $139,000 in FY2022 (+23.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Sales of Property, Plant and Equipment since fiscal Q3 2025.
- On a year-over-year basis, Sales of Property, Plant and Equipment increased in two of the last five quarters, with growth averaging 147.9%.
- The strongest year-over-year quarter for Sales of Property, Plant and Equipment in the past five years was fiscal Q2 2025, with growth of 713.6%; the weakest was fiscal Q3 2026, with a decline of 96.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | - |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | - |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | - |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | - |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | - |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 2,000.00 |
| 10 | Smith & Wesson Brands | 656.45 Mn | 568.71 Mn | 32.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 99,000.00 |
| Jan 31, 2026 | 87,000.00 |
| Jul 31, 2025 | 49,000.00 |
| Apr 30, 2025 | -49,000.00 |
| Jan 31, 2025 | 2.43 Mn |
| Oct 31, 2024 | 179,000.00 |
| Jul 31, 2024 | 58,000.00 |
| Apr 30, 2024 | 78,000.00 |
| Jan 31, 2024 | 2.83 Mn |
| Oct 31, 2023 | 22,000.00 |
| Jul 31, 2023 | 23,000.00 |
| Apr 30, 2023 | 33,000.00 |
| Oct 31, 2022 | 39,000.00 |
| Jul 31, 2022 | 46,000.00 |
| Apr 30, 2022 | 42,000.00 |
| Jan 31, 2022 | 27,000.00 |
| Jul 31, 2021 | 70,000.00 |
| Apr 30, 2021 | 113,000.00 |
| Apr 30, 2019 | 113,000.00 |
| Oct 31, 2018 | 1.22 Mn |
API Access
Smith & Wesson Brands Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();