Smith & Wesson Brands (SWBI) EV to EBITDA (2011 - 2026)
Smith & Wesson Brands' (SWBI) EV to EBITDA stood at 9.46 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 54.8% from 6.11 a year earlier but down 13.9% from the prior quarter.
Smith & Wesson Brands (SWBI) EV to EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Smith & Wesson Brands' EV to EBITDA came in at 8.43 as of Jul 31, 2026, up 89.6% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at 10.99, up 55.0% from FY2025.
- Across earlier fiscal years, EV to EBITDA came in at 7.09 in FY2025 (-20.7%), 8.94 in FY2024 (+43.0%), 6.25 in FY2023 (+248.6%) and 1.79 in FY2022 (-16.7%).
- Quarterly EV to EBITDA has ranged from 1.79 in fiscal Q4 2022 to 10.99 in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, EV to EBITDA has increased for four consecutive quarters, with growth averaging 8.9% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 248.6% in fiscal Q4 2023, against a decline of 49.7% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 10.99 (Q4 2026), 8.87 (Q3 2026) and 7.91 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.19 Bn | 11.24 Bn | 1.07 Bn |
| 2 | Hasbro | 12.45 Bn | 8.24 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.78 Bn | 452.27 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.11 Bn | 2.42 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.53 Bn | -18.69 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.21 Bn | -2.41 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.24 Bn | 781.41 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 673.80 Mn | 277.80 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.46 |
| Apr 30, 2026 | 10.99 |
| Jan 31, 2026 | 8.87 |
| Oct 31, 2025 | 7.91 |
| Jul 31, 2025 | 6.11 |
| Apr 30, 2025 | 7.09 |
| Jan 31, 2025 | 6.16 |
| Oct 31, 2024 | 6.98 |
| Jul 31, 2024 | 9.74 |
| Apr 30, 2024 | 8.94 |
| Jan 31, 2024 | 7.70 |
| Oct 31, 2023 | 8.52 |
| Jul 31, 2023 | 6.49 |
| Apr 30, 2023 | 6.25 |
| Jan 31, 2023 | 4.35 |
| Oct 31, 2022 | 3.58 |
| Jul 31, 2022 | 2.99 |
| Apr 30, 2022 | 1.79 |
| Jan 31, 2022 | 1.91 |
| Oct 31, 2021 | 2.25 |
Smith & Wesson Brands EV to 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=ev-to-ebitda&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();