Medalist Diversified (MDRR) Total Liabilities (2018 - 2026)
Medalist Diversified's Total Liabilities was $20.54 million in Q2 2026, down 60.8% from $52.34 million a year earlier and down 29.3% from the prior quarter.
Medalist Diversified (MDRR) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Medalist Diversified came in at $53.63 million, down 0.9% from FY2024.
- Total Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $54.1 million in FY2024 (-21.6%), $69.02 million in FY2023 (-0.3%), $69.23 million in FY2022 (-0.5%) and $69.55 million in FY2021 (+2.9%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities in data going back to Q4 2018.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 18.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2025 (growth of 15.4%); the worst was Q2 2026 (a decline of 60.8%).
- Per Business Quant data, MDRR's Total Liabilities in the three quarters before Q2 2026 was $29.04 million (Q1 2026), $53.63 million (Q4 2025) and $67.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 24.01 Bn | 22.84 Bn | - | 187.08 Mn |
| 2 | St Joe | 3.93 Bn | 3.42 Bn | 73.42 Mn | 735.38 Mn |
| 3 | Millrose Properties | 3.91 Bn | 3.55 Bn | - | 3.86 Bn |
| 4 | LandBridge | 2.28 Bn | 2.15 Bn | 65.71 Mn | 545.46 Mn |
| 5 | Opendoor Technologies | 1.95 Bn | -1.87 Bn | 86.00 Mn | 2.05 Bn |
| 6 | Forestar | 1.30 Bn | -43.14 Mn | 84.10 Mn | 1.36 Bn |
| 7 | Five Point Holdings | 645.56 Mn | -812.06 Mn | -23.72 Mn | 884.80 Mn |
| 8 | Tejon Ranch | 429.91 Mn | 349.53 Mn | - | 146.63 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | 291.50 Mn |
| 10 | Medalist Diversified | 17.12 Mn | 10.85 Mn | - | 20.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.54 Mn |
| Mar 31, 2026 | 29.04 Mn |
| Dec 31, 2025 | 53.63 Mn |
| Sep 30, 2025 | 67.11 Mn |
| Jun 30, 2025 | 52.34 Mn |
| Mar 31, 2025 | 52.38 Mn |
| Dec 31, 2024 | 54.10 Mn |
| Sep 30, 2024 | 58.14 Mn |
| Jun 30, 2024 | 58.15 Mn |
| Mar 31, 2024 | 58.27 Mn |
| Dec 31, 2023 | 69.02 Mn |
| Sep 30, 2023 | 70.15 Mn |
| Jun 30, 2023 | 69.10 Mn |
| Mar 31, 2023 | 69.26 Mn |
| Dec 31, 2022 | 69.23 Mn |
| Sep 30, 2022 | 70.47 Mn |
| Jun 30, 2022 | 78.18 Mn |
| Mar 31, 2022 | 69.38 Mn |
| Dec 31, 2021 | 69.55 Mn |
| Sep 30, 2021 | 66.33 Mn |
Medalist Diversified Total 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-liabilities&ticker=MDRR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MDRR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();