Solaris Resources (SLSR) Price to Earnings (2023 - 2026)
Solaris Resources' (SLSR) Price to Earnings came in at 49.57 for the quarter ended Jun 30, 2026, up 344.7% from 11.15 a year earlier and up 10.2% from the prior quarter.
Solaris Resources (SLSR) Price to Earnings (2023 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Solaris Resources' Price to Earnings stood at 31.50, up 374.5% from the prior year.
- In prior years, Solaris Resources' Price to Earnings was 6.64 in the year ended Dec 31, 2024 (-37.1%) and 10.55 in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Price to Earnings in data going back to the quarter ended Dec 31, 2023.
- On a year-over-year basis, Price to Earnings has increased in each of the last five quarters, with growth averaging 203.4% over the last seven quarters.
- According to Business Quant data, Price to Earnings for the three prior quarters was 44.99 (quarter ended Mar 31, 2026), 31.70 (quarter ended Dec 31, 2025) and 17.78 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - |
| 10 | Solaris Resources | 1.15 Bn | 1.03 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.57 |
| Mar 31, 2026 | 44.99 |
| Dec 31, 2025 | 31.70 |
| Sep 30, 2025 | 17.78 |
| Jun 30, 2025 | 11.15 |
| Mar 31, 2025 | 6.97 |
| Dec 31, 2024 | 6.59 |
| Sep 30, 2024 | 6.06 |
| Jun 30, 2024 | 8.02 |
| Mar 31, 2024 | 12.01 |
| Dec 31, 2023 | 10.57 |
Solaris Resources 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=SLSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SLSR", "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=SLSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();