Solaris Resources (SLSR) Selling, General & Administrative (2023 - 2026)
Solaris Resources (SLSR) recorded Selling, General & Administrative of $2.71 million in the quarter ended Jun 30, 2026, down 51.3% from $5.57 million a year earlier and down 18.6% from the prior quarter.
Solaris Resources (SLSR) Selling, General & Administrative (2023 - 2026) Analysis & Trends
On a TTM basis, Solaris Resources' Selling, General & Administrative came in at $11.2 million as of Jun 30, 2026, down 23.4% year-over-year; for the year ended Dec 31, 2025, it came in at $12.94 million, up 12.9% from the prior year.
- Across earlier years, Selling, General & Administrative came in at $11.47 million in the year ended Dec 31, 2024 (+12.2%) and $10.22 million in the year ended Dec 31, 2023.
- Quarterly Selling, General & Administrative has ranged from $2.15 million in the quarter ended Mar 31, 2024 to $5.57 million in the quarter ended Jun 30, 2025 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 18.1%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 124.3% in the quarter ended Jun 30, 2025, against a decline of 51.3% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.33 million (quarter ended Mar 31, 2026), $2.91 million (quarter ended Dec 31, 2025) and $2.25 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | Solaris Resources | 1.15 Bn | 1.03 Bn | - | 2.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.71 Mn |
| Mar 31, 2026 | 3.33 Mn |
| Dec 31, 2025 | 2.91 Mn |
| Sep 30, 2025 | 2.25 Mn |
| Jun 30, 2025 | 5.57 Mn |
| Mar 31, 2025 | 2.22 Mn |
| Dec 31, 2024 | 4.03 Mn |
| Sep 30, 2024 | 2.81 Mn |
| Jun 30, 2024 | 2.48 Mn |
| Mar 31, 2024 | 2.15 Mn |
| Dec 31, 2023 | 2.78 Mn |
| Sep 30, 2023 | 2.32 Mn |
| Jun 30, 2023 | 2.49 Mn |
| Mar 31, 2023 | 2.63 Mn |
Solaris Resources Selling, General & Administrative 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=selling-general-and-administrative&ticker=SLSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SLSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();