Solaris Resources (SLSR) Other Accumulated Expenses (2023 - 2026)
Solaris Resources' Other Accumulated Expenses was -$6,000 in the quarter ended Jun 30, 2025, compared with $6,000 a year earlier.
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Analysis
Solaris Resources (SLSR) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
As of Dec 31, 2024, Other Accumulated Expenses at Solaris Resources came in at $6,000, down 57.1% from the prior year.
- In earlier years, Other Accumulated Expenses was $14,000 in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2025 marks the lowest quarterly Other Accumulated Expenses in data going back to the quarter ended Mar 31, 2023.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.62 Mn |
| Mar 31, 2026 | 4.15 Mn |
| Dec 31, 2025 | 4.23 Mn |
| Sep 30, 2025 | 4.15 Mn |
| Jun 30, 2025 | 4.05 Mn |
| Mar 31, 2025 | 3.87 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 3.29 Mn |
| Jun 30, 2024 | 2.50 Mn |
| Mar 31, 2024 | 1.87 Mn |
| Dec 31, 2023 | 1.53 Mn |
API Access
Solaris Resources Other 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=other-accumulated-expenses&ticker=SLSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=SLSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();