Metalla Royalty & Streaming (MTA) Total Current Liabilities (2018 - 2026)
Metalla Royalty & Streaming (MTA) posted Total Current Liabilities of $3.69 million for Q2 2026, up 13.2% from $3.26 million a year earlier but down 10.1% from the prior quarter.
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Analysis
Metalla Royalty & Streaming (MTA) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Metalla Royalty & Streaming's Total Current Liabilities came in at $6.41 million, down 53.8% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- In prior years, Metalla Royalty & Streaming's Total Current Liabilities was $13.88 million in FY2024 (-32.6%), $20.58 million in FY2023 (+214.9%), $6.54 million in FY2022 (+500.1%) and $1.09 million in FY2021 (-38.5%).
- Quarterly Total Current Liabilities has run from a low of $570,659 in Q1 2022 to a high of $20.58 million in Q4 2023 over five years.
- On a year-over-year basis, Total Current Liabilities increased in two of the last eight quarters, with growth averaging 27.7%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2023, with growth of 989.4%; the weakest was Q1 2022, with a decline of 85.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $4.1 million (Q1 2026), $6.41 million (Q4 2025) and $3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 84.16 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 630.93 Mn |
| 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 | 126.55 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 | 3.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.69 Mn |
| Mar 31, 2026 | 4.10 Mn |
| Dec 31, 2025 | 6.41 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 3.26 Mn |
| Mar 31, 2025 | 13.30 Mn |
| Dec 31, 2024 | 13.88 Mn |
| Sep 30, 2024 | 13.76 Mn |
| Jun 30, 2024 | 13.23 Mn |
| Mar 31, 2024 | 15.18 Mn |
| Dec 31, 2023 | 20.58 Mn |
| Sep 30, 2023 | 2.19 Mn |
| Jun 30, 2023 | 6.75 Mn |
| Mar 31, 2023 | 6.22 Mn |
| Dec 31, 2022 | 1.69 Mn |
| Sep 30, 2022 | 5.60 Mn |
| Jun 30, 2022 | 11.42 Mn |
| Mar 31, 2022 | 570,659.00 |
| Dec 31, 2021 | 1.98 Mn |
| Sep 30, 2021 | 1.75 Mn |
API Access
Metalla Royalty & Streaming Total Current 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-current-liabilities&ticker=MTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();