Mdjm (UOKAF) Price to Book (2019 - 2025)
Mdjm's (UOKAF) Price to Book was 0.00 for Q4 2025, down 65.2% from 0.00 a year earlier.
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Analysis
Mdjm (UOKAF) Price to Book (2019 - 2025) Analysis & Trends
Dating back to Q2 2019, Mdjm's Price to Book record includes 14 quarters.
- By year, Price to Book came in at 0.00 in FY2024 (-100.0%), 124.44 in FY2023 (+39.2%), 89.42 in FY2022 (+19.7%) and 74.68 in FY2021 (-44.5%).
- The Q4 2025 figure ranks as the lowest quarterly Price to Book in data going back to Q2 2019.
- The high point for year-over-year Price to Book in five years was Q2 2021 (growth of 134.5%); the low point was Q2 2025 (a decline of 100.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.22 Bn | 22.04 Bn | - |
| 2 | Eason Technology | 6.48 Bn | 6.48 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.55 Bn | 65.71 Mn |
| 4 | Millrose Properties | 3.89 Bn | 3.89 Bn | - |
| 5 | St Joe | 3.72 Bn | 3.22 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.82 Bn | 2.82 Bn | - |
| 7 | Opendoor Technologies | 2.32 Bn | -1.49 Bn | 86.00 Mn |
| 8 | Forestar | 1.33 Bn | -21.59 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 677.43 Mn | 706.20 Mn | -23.72 Mn |
| 10 | Mdjm | 83,936.40 | -3.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Jun 30, 2024 | 88.83 |
| Dec 31, 2023 | 124.44 |
| Jun 30, 2023 | 127.39 |
| Dec 31, 2022 | 89.42 |
| Jun 30, 2022 | 118.65 |
| Dec 31, 2021 | 74.68 |
| Jun 30, 2021 | 216.57 |
| Dec 31, 2020 | 134.49 |
| Jun 30, 2020 | 92.37 |
| Dec 31, 2019 | 101.01 |
| Jun 30, 2019 | 95.01 |
API Access
Mdjm Price to Book 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=price-to-book&ticker=UOKAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "UOKAF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=UOKAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();