Metalla Royalty & Streaming (MTA) Enterprise Value (2018 - 2026)
Metalla Royalty & Streaming (MTA) posted Enterprise Value of $695.89 million for Q2 2026, up 95.9% from $355.28 million a year earlier and up 14.9% from the prior quarter.
Metalla Royalty & Streaming (MTA) Enterprise Value (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Metalla Royalty & Streaming was $664.1 million, up 86.9% year-over-year; for FY2025, it came in at $712.7 million, up 208.4% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Metalla Royalty & Streaming's Enterprise Value was $231.11 million in FY2024 (+44.9%), $159.51 million in FY2023 (-34.1%), $242.03 million in FY2022 (-20.5%) and $304.4 million in FY2021 (-38.5%).
- Quarterly Enterprise Value has run from a low of $157.21 million in Q3 2023 to a high of $712.7 million in Q4 2025 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last five quarters, with growth averaging 88.6% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2025, with growth of 208.4%; the weakest was Q3 2022, with a decline of 42.0%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $605.55 million (Q1 2026), $712.7 million (Q4 2025) and $576.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 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 |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 695.89 Mn |
| Mar 31, 2026 | 605.55 Mn |
| Dec 31, 2025 | 712.70 Mn |
| Sep 30, 2025 | 576.28 Mn |
| Jun 30, 2025 | 355.28 Mn |
| Mar 31, 2025 | 254.78 Mn |
| Dec 31, 2024 | 231.11 Mn |
| Sep 30, 2024 | 283.17 Mn |
| Jun 30, 2024 | 245.15 Mn |
| Mar 31, 2024 | 271.91 Mn |
| Dec 31, 2023 | 159.51 Mn |
| Sep 30, 2023 | 157.21 Mn |
| Jun 30, 2023 | 224.83 Mn |
| Mar 31, 2023 | 277.54 Mn |
| Dec 31, 2022 | 242.06 Mn |
| Sep 30, 2022 | 170.61 Mn |
| Jun 30, 2022 | 211.93 Mn |
| Mar 31, 2022 | 309.68 Mn |
| Dec 31, 2021 | 304.37 Mn |
| Sep 30, 2021 | 294.36 Mn |
Metalla Royalty & Streaming Enterprise Value 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=enterprise-value&ticker=MTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();