Solaris Resources (SLSR) Operating Expenses (2023 - 2026)
Solaris Resources (SLSR) posted Operating Expenses of $3.91 million for the quarter ended Jun 30, 2026, down 72.9% from $14.42 million a year earlier and down 5.6% from the prior quarter.
Solaris Resources (SLSR) Operating Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Solaris Resources was $27.39 million, down 62.3% year-over-year; for the year ended Dec 31, 2025, it was $48.29 million, down 33.8% from the prior year.
- In prior years, Solaris Resources' Operating Expenses was $72.98 million in the year ended Dec 31, 2024 (+77.3%) and $41.17 million in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Expenses in data going back to the quarter ended Mar 31, 2023.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with growth averaging 1.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was the quarter ended Dec 31, 2024, with growth of 141.6%; the weakest was the quarter ended Jun 30, 2026, with a decline of 72.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.14 million (quarter ended Mar 31, 2026), $7.59 million (quarter ended Dec 31, 2025) and $11.75 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | -780.00 Mn |
| 10 | Solaris Resources | 1.15 Bn | 1.03 Bn | - | 3.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.91 Mn |
| Mar 31, 2026 | 4.14 Mn |
| Dec 31, 2025 | 7.59 Mn |
| Sep 30, 2025 | 11.75 Mn |
| Jun 30, 2025 | 14.42 Mn |
| Mar 31, 2025 | 14.53 Mn |
| Dec 31, 2024 | 23.30 Mn |
| Sep 30, 2024 | 20.47 Mn |
| Jun 30, 2024 | 16.87 Mn |
| Mar 31, 2024 | 12.34 Mn |
| Dec 31, 2023 | 9.65 Mn |
| Sep 30, 2023 | 9.32 Mn |
| Jun 30, 2023 | 10.17 Mn |
| Mar 31, 2023 | 12.03 Mn |
Solaris Resources Operating 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=operating-expenses&ticker=SLSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SLSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();