Solaris Resources (SLSR) Accumulated Expenses (2023 - 2026)
Solaris Resources (SLSR) posted Accumulated Expenses of $348,000 for the quarter ended Jun 30, 2026, up 40.3% from $248,000 a year earlier and up 10.1% from the prior quarter.
Solaris Resources (SLSR) Accumulated Expenses (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Solaris Resources' Accumulated Expenses came in at $288,000.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Accumulated Expenses in data going back to the quarter ended Mar 31, 2024.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $316,000 (quarter ended Mar 31, 2026), $288,000 (quarter ended Dec 31, 2025) and $278,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn |
| 10 | Solaris Resources | 1.17 Bn | 1.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 348,000.00 |
| Mar 31, 2026 | 316,000.00 |
| Dec 31, 2025 | 288,000.00 |
| Sep 30, 2025 | 278,000.00 |
| Jun 30, 2025 | 248,000.00 |
| Mar 31, 2025 | 293,000.00 |
| Dec 31, 2024 | 240,000.00 |
| Sep 30, 2024 | 158,000.00 |
| Jun 30, 2024 | 140,000.00 |
| Mar 31, 2024 | 123,000.00 |
| Dec 31, 2023 | 94,000.00 |
Solaris Resources Accumulated Expenses 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=accumulated-expenses&ticker=SLSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SLSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();