Smith & Wesson Brands (SWBI) Capital Expenditures (2010 - 2026)
Smith & Wesson Brands' Capital Expenditures came in at $11.93 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 178.0% from $4.29 million a year earlier and up 146.8% from the prior quarter.
Smith & Wesson Brands (SWBI) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Smith & Wesson Brands reported Capital Expenditures of $31.39 million, up 48.1% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $23.75 million, up 9.9% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $21.61 million in FY2025 (-76.2%), $90.76 million in FY2024 (+1.3%), $89.57 million in FY2023 (+273.6%) and $23.97 million in FY2022 (+8.7%).
- The fiscal Q1 2027 figure represents the highest quarterly Capital Expenditures since fiscal Q3 2024.
- Year-over-year, Capital Expenditures increased in three of the last eight quarters, with growth averaging 25.1%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q2 2023 (growth of 541.8%), and the weakest in fiscal Q2 2025 (a decline of 90.5%).
- Business Quant data shows SWBI's Capital Expenditures at $4.83 million (Q4 2026), $3.63 million (Q3 2026) and $10.99 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn | -61.20 Mn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn | 19.00 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn | 18.08 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn | 42.31 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 | 11.40 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn | 2.30 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 | 3.27 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn | 11.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.93 Mn |
| Apr 30, 2026 | 4.83 Mn |
| Jan 31, 2026 | 3.63 Mn |
| Oct 31, 2025 | 10.99 Mn |
| Jul 31, 2025 | 4.29 Mn |
| Apr 30, 2025 | 7.29 Mn |
| Jan 31, 2025 | 6.31 Mn |
| Oct 31, 2024 | 3.30 Mn |
| Jul 31, 2024 | 4.70 Mn |
| Apr 30, 2024 | 5.57 Mn |
| Jan 31, 2024 | 18.21 Mn |
| Oct 31, 2023 | 34.93 Mn |
| Jul 31, 2023 | 32.06 Mn |
| Apr 30, 2023 | 24.98 Mn |
| Jan 31, 2023 | 25.17 Mn |
| Oct 31, 2022 | 27.88 Mn |
| Jul 31, 2022 | 11.54 Mn |
| Apr 30, 2022 | 8.88 Mn |
| Jan 31, 2022 | 4.98 Mn |
| Oct 31, 2021 | 4.34 Mn |
Smith & Wesson Brands Capital Expenditures 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=capital-expenditures&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();