Smith & Wesson Brands (SWBI) EBITDA (2010 - 2026)
Smith & Wesson Brands (SWBI) reported EBITDA of $11.92 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 117.6% from $5.48 million a year earlier but down 58.8% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Smith & Wesson Brands' EBITDA came in at $66.96 million, up 22.5% year-over-year; for FY2026 (ended Apr 30, 2026), it was $60.52 million, up 8.6% from FY2025.
- EBITDA has a five-year compound annual growth rate of -29.6% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $55.73 million in FY2025 (-30.0%), $79.66 million in FY2024 (-0.2%), $79.84 million in FY2023 (-71.7%) and $281.73 million in FY2022 (-19.8%).
- Five-year quarterly EBITDA spans a low of $5.48 million in fiscal Q1 2026 and a high of $73.14 million in fiscal Q2 2022.
- Year over year, EBITDA has now increased in each of the last three quarters, with growth averaging 11.0% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2027 (growth of 117.6%); the low point was fiscal Q1 2023 (a decline of 89.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $28.95 million (Q4 2026), $13.95 million (Q3 2026) and $12.14 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn | 304.20 Mn |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn | 553.60 Mn |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn | 96.57 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | 59.60 Mn |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | 108.05 Mn |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn | 55.30 Mn |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn | 130.10 Mn |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn | 11.40 Mn |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn | 11.92 Mn |
| 10 | Unusual Machines | 592.37 Mn | -313.66 Mn | 4.92 Mn | -8.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.92 Mn |
| Apr 30, 2026 | 28.95 Mn |
| Jan 31, 2026 | 13.95 Mn |
| Oct 31, 2025 | 12.14 Mn |
| Jul 31, 2025 | 5.48 Mn |
| Apr 30, 2025 | 21.11 Mn |
| Jan 31, 2025 | 12.34 Mn |
| Oct 31, 2024 | 15.75 Mn |
| Jul 31, 2024 | 6.52 Mn |
| Apr 30, 2024 | 35.97 Mn |
| Jan 31, 2024 | 18.25 Mn |
| Oct 31, 2023 | 11.84 Mn |
| Jul 31, 2023 | 13.60 Mn |
| Apr 30, 2023 | 27.47 Mn |
| Jan 31, 2023 | 20.76 Mn |
| Oct 31, 2022 | 20.15 Mn |
| Jul 31, 2022 | 11.47 Mn |
| Apr 30, 2022 | 54.31 Mn |
| Jan 31, 2022 | 46.93 Mn |
| Oct 31, 2021 | 73.14 Mn |
API Access
Smith & Wesson Brands EBITDA 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=ebitda&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();