Solaris Resources (SLSR) Accumulated Expenses (2024 - 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.
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Analysis
Solaris Resources (SLSR) Accumulated Expenses (2024 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Solaris Resources | 1.15 Bn | 1.03 Bn | - |
Historic Data
Download Data
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 |
| Sep 30, 2024 | 158,000.00 |
| Jun 30, 2024 | 140,000.00 |
| Mar 31, 2024 | 123,000.00 |
API Access
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_KEYimport 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();