Metalla Royalty & Streaming Ltd. (MTA) Operating Expenses (2018 - 2026)
Metalla Royalty & Streaming (MTA) posted Operating Expenses of -$1.43 million for Q2 2026, compared with -$509,000 a year earlier.
Metalla Royalty & Streaming Ltd. (MTA) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Metalla Royalty & Streaming was -$12.79 million; for FY2025, it came in at $1.6 million.
- In prior years, Metalla Royalty & Streaming's Operating Expenses was -$2.71 million in FY2024, -$4.93 million in FY2023, $1.28 million in FY2022 (+12.8%) and $1.13 million in FY2021.
- Quarterly Operating Expenses has run from a low of -$9.72 million in Q4 2025 to a high of -$148,303 in Q3 2021 over five years.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$1.18 million (Q1 2026), -$9.72 million (Q4 2025) and -$460,000 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.43 Mn |
| Mar 31, 2026 | -1.18 Mn |
| Dec 31, 2025 | 3.56 Mn |
| Sep 30, 2025 | -460,000.00 |
| Jun 30, 2025 | -509,000.00 |
| Mar 31, 2025 | -402,000.00 |
| Dec 31, 2024 | 9.23 Mn |
| Sep 30, 2024 | -572,000.00 |
| Jun 30, 2024 | -466,000.00 |
| Mar 31, 2024 | -467,000.00 |
| Dec 31, 2023 | 8.02 Mn |
| Sep 30, 2023 | -205,000.00 |
| Jun 30, 2023 | -711,000.00 |
| Mar 31, 2023 | -478,000.00 |
| Dec 31, 2022 | 6.45 Mn |
| Sep 30, 2022 | -237,222.00 |
| Jun 30, 2022 | -585,462.00 |
| Mar 31, 2022 | -339,000.00 |
| Dec 31, 2021 | 6.90 Mn |
| Sep 30, 2021 | -148,303.00 |
Metalla Royalty & Streaming Ltd. 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=MTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=MTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();