Metalla Royalty & Streaming (MTA) Net Long-Term Debt Issued (Repaid) (2019 - 2025)
Metalla Royalty & Streaming (MTA) posted Non-Current Debt of $12.35 million for Q2 2026, up 2.7% from $12.02 million a year earlier and up 0.7% from the prior quarter.
Metalla Royalty & Streaming (MTA) Net Long-Term Debt Issued (Repaid) (2019 - 2025) Analysis & Trends
At the end of FY2025, Metalla Royalty & Streaming's Non-Current Debt came in at $12.18 million.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 31.8% (FY2020 to FY2025).
- In prior years, Metalla Royalty & Streaming's Non-Current Debt was $13.03 million in FY2023 (+144.2%), $5.34 million in FY2022 (-49.3%) and $10.51 million in FY2021 (+243.3%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Debt since Q4 2023.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $12.26 million (Q1 2026), $12.18 million (Q4 2025) and $12.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | -54.25 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | -250.00 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 467.47 Mn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 589.00 Mn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 1.66 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | -463.00 Mn |
| 10 | Metalla Royalty & Streaming | 750.63 Mn | 707.76 Mn | 4.75 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -23.84 Mn |
| Aug 31, 2020 | 3.72 Mn |
| May 31, 2020 | -3.81 Mn |
| Aug 31, 2019 | 7.31 Mn |
| May 31, 2019 | -2.34 Mn |
| Feb 28, 2019 | 244,000.46 |
Metalla Royalty & Streaming Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=MTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=MTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();