Metalla Royalty & Streaming (MTA) Total Liabilities (2018 - 2026)
Metalla Royalty & Streaming's Total Liabilities came in at $17.09 million for Q2 2026, up 8.0% from $15.81 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Metalla Royalty & Streaming (MTA) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Metalla Royalty & Streaming's Total Liabilities was $19.11 million, up 14.8% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 29.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $16.65 million in FY2024 (-28.1%), $23.14 million in FY2023 (+162.8%), $8.81 million in FY2022 (+49.3%) and $5.9 million in FY2021 (+10.3%).
- The five-year range for quarterly Total Liabilities is -$240.24 million (Q4 2023) to $19.11 million (Q4 2025).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 19.4% over the last seven quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 118.9%), and the weakest in Q3 2023 (a decline of 33.0%).
- Business Quant data shows MTA's Total Liabilities at $16.89 million (Q1 2026), $19.11 million (Q4 2025) and $15.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 35.84 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 9.67 Bn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 66.29 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 4,198.25 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 1.59 Bn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 10.73 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 105.92 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 130.25 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 16.65 Bn |
| 10 | Metalla Royalty & Streaming | 750.63 Mn | 707.76 Mn | 4.75 Mn | 17.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.09 Mn |
| Mar 31, 2026 | 16.89 Mn |
| Dec 31, 2025 | 19.11 Mn |
| Sep 30, 2025 | 15.63 Mn |
| Jun 30, 2025 | 15.81 Mn |
| Mar 31, 2025 | 13.84 Mn |
| Dec 31, 2024 | 16.65 Mn |
| Sep 30, 2024 | 16.48 Mn |
| Jun 30, 2024 | 15.89 Mn |
| Mar 31, 2024 | 17.80 Mn |
| Dec 31, 2023 | 23.14 Mn |
| Sep 30, 2023 | 7.53 Mn |
| Jun 30, 2023 | 12.20 Mn |
| Mar 31, 2023 | 13.62 Mn |
| Dec 31, 2022 | 74.29 Mn |
| Sep 30, 2022 | 11.24 Mn |
| Jun 30, 2022 | 11.84 Mn |
| Mar 31, 2022 | 11.84 Mn |
| Dec 31, 2021 | 51.09 Mn |
| Sep 30, 2021 | 5.48 Mn |
API Access
Metalla Royalty & Streaming Total Liabilities 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=total-liabilities&ticker=MTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();