Metals Royalty (TMCR) Selling, General & Administrative (2025 - 2026)
Metals Royalty's Selling, General & Administrative came in at $2.62 million for the quarter ended Jun 30, 2026, up 907.6% from $259,828 a year earlier but down 43.9% from the prior quarter.
Metals Royalty (TMCR) Selling, General & Administrative (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Metals Royalty reported Selling, General & Administrative of $7.62 million; for the year ended Dec 31, 2025, it was $6.07 million, up 596.9% from the prior year.
- Going back by year, Selling, General & Administrative was $870,750 in the year ended Dec 31, 2024.
- The five-year range for quarterly Selling, General & Administrative is $76,814 (the quarter ended Mar 31, 2025) to $4.66 million (the quarter ended Mar 31, 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 720.00 Mn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 409.11 Mn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 25.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 479.00 Mn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 11.33 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Metals Royalty | 174.17 Mn | 174.17 Mn | 521,982.00 | 2.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.62 Mn |
| Mar 31, 2026 | 4.66 Mn |
| Jun 30, 2025 | 259,828.00 |
| Mar 31, 2025 | 76,814.00 |
Metals Royalty 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=TMCR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TMCR", "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=TMCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();