Sprott (SII) Price to Earnings (2020 - 2026)
Sprott's Price to Earnings came in at 27.50 for the quarter ended Jun 30, 2026, down 23.2% from 35.79 a year earlier and down 36.9% from the prior quarter.
Sprott (SII) Price to Earnings (2020 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Sprott's Price to Earnings was 37.49, up 69.8% from the prior year.
- Going back by year, Price to Earnings was 22.08 in the year ended Dec 31, 2024 (+5.1%), 21.01 in the year ended Dec 31, 2023 (-57.2%), 49.07 in the year ended Dec 31, 2022 (+40.1%) and 35.01 in the year ended Dec 31, 2021 (+27.4%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Price to Earnings since the quarter ended Mar 31, 2025.
- Year-over-year, Price to Earnings increased in seven of the last eight quarters, with growth averaging 35.8%.
- The fastest year-over-year change in Price to Earnings over five years came in the quarter ended Mar 31, 2026 (growth of 86.9%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 58.4%).
- Business Quant data shows SII's Price to Earnings at 43.55 (quarter ended Mar 31, 2026), 37.49 (quarter ended Dec 31, 2025) and 42.70 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn |
| 10 | Sprott | 2.99 Bn | 2.43 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.50 |
| Mar 31, 2026 | 43.55 |
| Dec 31, 2025 | 37.49 |
| Sep 30, 2025 | 42.70 |
| Jun 30, 2025 | 35.79 |
| Mar 31, 2025 | 23.31 |
| Dec 31, 2024 | 22.08 |
| Sep 30, 2024 | 23.69 |
| Jun 30, 2024 | 25.89 |
| Mar 31, 2024 | 20.91 |
| Dec 31, 2023 | 21.01 |
| Sep 30, 2023 | 20.04 |
| Jun 30, 2023 | 23.51 |
| Mar 31, 2023 | 50.29 |
| Dec 31, 2022 | 49.07 |
| Sep 30, 2022 | 42.18 |
| Jun 30, 2022 | 34.19 |
| Mar 31, 2022 | 35.53 |
| Dec 31, 2021 | 35.01 |
| Sep 30, 2021 | 31.54 |
Sprott 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=SII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SII", "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=SII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();