Belpointe PREP (OZ) EBITDA Margin (2021 - 2023)
Belpointe PREP's EBITDA Margin was -128.22% in FY2025, up 183.36 percentage points from -311.59% in FY2024.
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Analysis
Belpointe PREP (OZ) EBITDA Margin (2021 - 2023) Analysis & Trends
From FY2021 onward, Belpointe PREP has reported EBITDA Margin for 5 years.
- EBITDA Margin shows a four-year change of +117.91 percentage points (FY2021 to FY2025).
- The FY2025 figure marks the highest annual EBITDA Margin in data going back to FY2021.
- Per Business Quant data, EBITDA Margin in earlier years was -311.59% in FY2024 (+233.84 pp), -545.43% in FY2023 (-54.06 pp), -491.37% in FY2022 (-245.23 pp) and -246.14% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 84.72% |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 72.61% |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | - |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 41.66% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 91.85% |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -15.40% |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 11.43% |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | -311.27% |
| 10 | Belpointe PREP | 163.39 Mn | 163.39 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -743.44% |
| Sep 30, 2023 | -601.92% |
| Jun 30, 2023 | -434.83% |
| Dec 31, 2022 | -625.00% |
| Sep 30, 2022 | -289.94% |
| Jun 30, 2022 | -498.40% |
| Dec 31, 2021 | -866.67% |
| Sep 30, 2021 | 106.47% |
| Jun 30, 2021 | 28.74% |
API Access
Belpointe PREP EBITDA Margin 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=ebitda-margin&ticker=OZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "OZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=OZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();