Metalla Royalty & Streaming (MTA) Other Operating Expenses (2018 - 2026)
Metalla Royalty & Streaming (MTA) recorded Other Operating Expenses of $78,000 in Q2 2026, compared with -$179,000 a year earlier.
Metalla Royalty & Streaming (MTA) Other Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Metalla Royalty & Streaming's Other Operating Expenses came in at -$396,000 as of Jun 30, 2026; for FY2025, it came in at -$552,000.
- Across earlier years, Other Operating Expenses came in at $150,000 in FY2024, -$23,000 in FY2023, $36,000 in FY2022 and -$14,528 in FY2021.
- The Q2 2026 figure is the highest quarterly Other Operating Expenses since Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Metalla Royalty & Streaming | 876.97 Mn | 834.11 Mn | 4.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78,000.00 |
| Dec 31, 2025 | -439,000.00 |
| Sep 30, 2025 | -35,000.00 |
| Jun 30, 2025 | -179,000.00 |
| Mar 31, 2025 | 38,000.00 |
| Dec 31, 2024 | -169,000.00 |
| Sep 30, 2024 | 429,000.00 |
| Jun 30, 2024 | -25,000.00 |
| Mar 31, 2024 | -85,000.00 |
| Dec 31, 2023 | 229,000.00 |
| Sep 30, 2023 | -203,000.00 |
| Jun 30, 2023 | -29,000.00 |
| Mar 31, 2023 | -20,000.00 |
| Dec 31, 2022 | 30,000.00 |
| Sep 30, 2022 | 19,000.00 |
| Jun 30, 2022 | -30,000.00 |
| Mar 31, 2022 | 17,000.00 |
| Dec 31, 2021 | -6,700.00 |
| Sep 30, 2021 | -964,000.00 |
| Jun 30, 2021 | -1.16 Mn |
Metalla Royalty & Streaming Other 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=other-operating-expenses&ticker=MTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MTA", "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-operating-expenses&ticker=MTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();