Smith & Wesson Brands (SWBI) Enterprise Value (2010 - 2026)
Smith & Wesson Brands (SWBI) recorded Enterprise Value of $633.72 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 89.6% from $334.3 million a year earlier but down 4.7% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Smith & Wesson Brands' Enterprise Value came in at $564.68 million as of Jul 31, 2026, up 132.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $664.99 million, up 68.3% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of -2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $395.15 million in FY2025 (-44.5%), $712.34 million in FY2024 (+42.7%), $499.23 million in FY2023 (-1.2%) and $505.37 million in FY2022 (-33.1%).
- Quarterly Enterprise Value has ranged from $334.3 million in fiscal Q1 2026 to $878.94 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for three consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 89.6% in fiscal Q1 2027, against a decline of 52.7% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $664.99 million (Q4 2026), $467.45 million (Q3 2026) and $404.24 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 16.80 Bn | 14.39 Bn | 1.07 Bn |
| 2 | Hasbro | 13.95 Bn | 9.72 Bn | 867.20 Mn |
| 3 | Mattel | 4.88 Bn | 1.55 Bn | 542.12 Mn |
| 4 | Acushnet Holdings | 4.74 Bn | 4.49 Bn | 445.83 Mn |
| 5 | YETI Holdings | 3.15 Bn | 2.46 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.48 Bn | -67.44 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.23 Bn | -2.39 Bn | 344.40 Mn |
| 8 | Unusual Machines | 796.11 Mn | 332.60 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 736.90 Mn | 340.90 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 661.82 Mn | 574.08 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 633.72 Mn |
| Apr 30, 2026 | 664.99 Mn |
| Jan 31, 2026 | 467.45 Mn |
| Oct 31, 2025 | 404.24 Mn |
| Jul 31, 2025 | 334.30 Mn |
| Apr 30, 2025 | 395.15 Mn |
| Jan 31, 2025 | 434.88 Mn |
| Oct 31, 2024 | 533.99 Mn |
| Jul 31, 2024 | 706.71 Mn |
| Apr 30, 2024 | 712.34 Mn |
| Jan 31, 2024 | 547.76 Mn |
| Oct 31, 2023 | 628.03 Mn |
| Jul 31, 2023 | 531.93 Mn |
| Apr 30, 2023 | 499.23 Mn |
| Jan 31, 2023 | 463.96 Mn |
| Oct 31, 2022 | 475.17 Mn |
| Jul 31, 2022 | 555.51 Mn |
| Apr 30, 2022 | 505.37 Mn |
| Jan 31, 2022 | 670.05 Mn |
| Oct 31, 2021 | 878.94 Mn |
API Access
Smith & Wesson Brands Enterprise Value 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=enterprise-value&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();