Metalla Royalty & Streaming (MTA) Shares Outstanding (Entity) (2018 - 2025)
Metalla Royalty & Streaming's Shares Outstanding (Entity) came in at 92.9 million for Q4 2025, up 0.9% from 92.08 million a year earlier and up 0.4% from the prior quarter.
Metalla Royalty & Streaming (MTA) Shares Outstanding (Entity) (2018 - 2025) Analysis & Trends
Going back to Q4 2020, Metalla Royalty & Streaming's Shares Outstanding (Entity) data covers 21 quarters.
- Shares Outstanding (Entity) has increased in each of the last five years, with a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 92.08 million in FY2024 (+66.7%), 55.22 million in FY2023 (+11.6%), 49.47 million in FY2022 (+12.3%) and 44.04 million in FY2021 (+10.8%).
- The Q4 2025 figure represents the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2020.
- Year-over-year, Shares Outstanding (Entity) has increased for 17 consecutive quarters, with growth averaging 37.5% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Entity) has ranged between 0.9% (Q4 2025) and 80.2% (Q1 2024) over the last five years.
- Business Quant data shows MTA's Shares Outstanding (Entity) at 92.54 million (Q3 2025), 92.52 million (Q2 2025) and 92.34 million (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 3.76 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 575.00 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 5.87 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 337.18 Mn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 325.00 Mn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 84.67 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 750.57 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 718.00 Mn |
| 10 | Metalla Royalty & Streaming | 876.97 Mn | 834.11 Mn | 4.75 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 92.90 Mn |
| Sep 30, 2025 | 92.54 Mn |
| Jun 30, 2025 | 92.52 Mn |
| Mar 31, 2025 | 92.34 Mn |
| Dec 31, 2024 | 92.08 Mn |
| Sep 30, 2024 | 91.64 Mn |
| Jun 30, 2024 | 91.49 Mn |
| Mar 31, 2024 | 91.03 Mn |
| Dec 31, 2023 | 55.22 Mn |
| Sep 30, 2023 | 52.84 Mn |
| Jun 30, 2023 | 52.22 Mn |
| Mar 31, 2023 | 50.51 Mn |
| Dec 31, 2022 | 49.47 Mn |
| Sep 30, 2022 | 44.83 Mn |
| Jun 30, 2022 | 44.58 Mn |
| Mar 31, 2022 | 44.27 Mn |
| Dec 31, 2021 | 44.04 Mn |
| Sep 30, 2021 | 43.29 Mn |
| Jun 30, 2021 | 42.28 Mn |
| Mar 31, 2021 | 40.71 Mn |
Metalla Royalty & Streaming Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=MTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=MTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();