Smith & Wesson Brands (SWBI) Price to Earnings (2012 - 2026)
Smith & Wesson Brands' (SWBI) Price to Earnings came in at 26.65 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 10.2% from 29.68 a year earlier and down 28.9% from the prior quarter.
Powered by 
Analysis
Smith & Wesson Brands (SWBI) Price to Earnings (2012 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Smith & Wesson Brands' Price to Earnings stood at 37.51, up 19.8% from FY2025.
- Annual Price to Earnings has increased for four consecutive fiscal years.
- In prior fiscal years, Smith & Wesson Brands' Price to Earnings was 31.31 in FY2025 (+67.5%), 18.69 in FY2024 (+24.7%), 14.99 in FY2023 (+365.7%) and 3.22 in FY2022 (-6.6%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Price to Earnings since fiscal Q3 2025.
- On a year-over-year basis, Price to Earnings increased in five of the last eight quarters, with growth averaging 59.5%.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q4 2023, with growth of 365.7%; the weakest was fiscal Q2 2022, with a decline of 83.9%.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 37.51 (Q4 2026), 44.61 (Q3 2026) and 46.17 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 10 | Smith & Wesson Brands | 656.45 Mn | 568.71 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 26.65 |
| Apr 30, 2026 | 37.51 |
| Jan 31, 2026 | 44.61 |
| Oct 31, 2025 | 46.17 |
| Jul 31, 2025 | 29.68 |
| Apr 30, 2025 | 31.31 |
| Jan 31, 2025 | 14.13 |
| Oct 31, 2024 | 14.91 |
| Jul 31, 2024 | 20.40 |
| Apr 30, 2024 | 18.69 |
| Jan 31, 2024 | 22.60 |
| Oct 31, 2023 | 22.76 |
| Jul 31, 2023 | 16.01 |
| Apr 30, 2023 | 14.99 |
| Jan 31, 2023 | 8.45 |
| Oct 31, 2022 | 6.51 |
| Jul 31, 2022 | 5.51 |
| Apr 30, 2022 | 3.22 |
| Jan 31, 2022 | 3.14 |
| Oct 31, 2021 | 3.72 |
API Access
Smith & Wesson Brands Price to Earnings 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=price-to-earnings&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();