Medalist Diversified (MDRR) Long-Term Debt Repayments (2018 - 2026)
Medalist Diversified's Long-Term Debt Repayments was $123,683 in Q2 2026, down 46.9% from $232,860 a year earlier and down 45.9% from the prior quarter.
Medalist Diversified (MDRR) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Medalist Diversified's Long-Term Debt Repayments was $978,718 through Jun 30, 2026, up 5.0% year-over-year; for FY2025, it came in at $1.13 million, up 18.3% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $958,579 in FY2024 (-11.7%), $1.09 million in FY2023 (-90.9%), $11.93 million in FY2022 (-20.0%) and $14.91 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Repayments since Q4 2019.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last eight quarters, with growth averaging 1.1%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2022 (growth of 66.5%); the worst was Q4 2022 (a decline of 98.3%).
- Per Business Quant data, MDRR's Long-Term Debt Repayments in the three quarters before Q2 2026 was $228,725 (Q1 2026), $317,311 (Q4 2025) and $308,999 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.04 Bn | 21.87 Bn | - | - |
| 2 | St Joe | 3.99 Bn | 3.48 Bn | 73.42 Mn | 10.99 Mn |
| 3 | Millrose Properties | 3.96 Bn | 3.60 Bn | - | - |
| 4 | Opendoor Technologies | 1.93 Bn | -1.89 Bn | 86.00 Mn | 90.00 Mn |
| 5 | Forestar | 1.34 Bn | -11.96 Mn | 84.10 Mn | - |
| 6 | Five Point Holdings | 673.73 Mn | -783.89 Mn | -23.72 Mn | 2.03 Mn |
| 7 | Tejon Ranch | 449.62 Mn | 369.24 Mn | - | - |
| 8 | Nam Tai Property | 260.36 Mn | 78.98 Mn | - | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | - |
| 10 | Medalist Diversified | 18.05 Mn | -1.46 Mn | - | 123,683.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123,683.00 |
| Mar 31, 2026 | 228,725.00 |
| Dec 31, 2025 | 317,311.00 |
| Sep 30, 2025 | 308,999.00 |
| Jun 30, 2025 | 232,860.00 |
| Mar 31, 2025 | 274,737.00 |
| Dec 31, 2024 | 204,181.00 |
| Sep 30, 2024 | 220,504.00 |
| Jun 30, 2024 | 202,679.00 |
| Mar 31, 2024 | 331,215.00 |
| Dec 31, 2023 | 281,198.00 |
| Sep 30, 2023 | 206,828.00 |
| Jun 30, 2023 | 295,877.00 |
| Mar 31, 2023 | 301,577.00 |
| Dec 31, 2022 | 239,580.00 |
| Sep 30, 2022 | 285,331.00 |
| Jun 30, 2022 | 11.21 Mn |
| Mar 31, 2022 | 192,257.00 |
| Dec 31, 2021 | 14.48 Mn |
| Sep 30, 2021 | 171,392.00 |
Medalist Diversified 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=MDRR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MDRR", "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=MDRR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();