Adamas Trust (ADAM) Long-Term Debt Repayments (2010 - 2026)
Adamas Trust (ADAM) posted Long-Term Debt Repayments of $100 million for Q1 2026, up 568.7% from $14.96 million a year earlier and up 446.8% from the prior quarter.
Adamas Trust (ADAM) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2025, Adamas Trust's Long-Term Debt Repayments came in at $74.15 million, up 21.3% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, Adamas Trust's Long-Term Debt Repayments was $61.13 million in FY2024 (+31.5%), $46.48 million in FY2023 (-66.3%), $138 million in FY2022 (-14.2%) and $160.76 million in FY2021 (+79.7%).
- The Q1 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q1 2022.
- On a year-over-year basis, Long-Term Debt Repayments has increased in each of the last nine quarters, with growth averaging 96.2% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q1 2026, with growth of 568.7%; the weakest was Q1 2023, with a decline of 92.4%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $18.29 million (Q4 2025), $21.23 million (Q3 2025) and $19.67 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | - | 155.22 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 9.80 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 200.00 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 2.15 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 3.11 Bn |
| 10 | Adamas Trust | 699.26 Mn | -120.57 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 100.00 Mn |
| Dec 31, 2025 | 18.29 Mn |
| Sep 30, 2025 | 21.23 Mn |
| Jun 30, 2025 | 19.67 Mn |
| Mar 31, 2025 | 14.96 Mn |
| Dec 31, 2024 | 17.51 Mn |
| Sep 30, 2024 | 18.86 Mn |
| Jun 30, 2024 | 12.26 Mn |
| Mar 31, 2024 | 12.51 Mn |
| Dec 31, 2023 | 13.04 Mn |
| Sep 30, 2023 | 11.87 Mn |
| Jun 30, 2023 | 11.08 Mn |
| Mar 31, 2023 | 10.49 Mn |
| Mar 31, 2022 | 138.00 Mn |
| Dec 31, 2021 | 46.93 Mn |
| Sep 30, 2021 | 45.52 Mn |
| Jun 30, 2021 | 41.02 Mn |
| Mar 31, 2021 | 27.30 Mn |
| Dec 31, 2020 | 26.21 Mn |
| Sep 30, 2020 | 24.04 Mn |
Adamas Trust Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ADAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ADAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=ADAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();