Belpointe PREP (OZ) EBIT Margin (2021 - 2023)
Belpointe PREP (OZ) reported EBIT Margin of -246.33% for FY2025, up 271.39 percentage points from -517.72% in FY2024.
Analysis
Belpointe PREP (OZ) EBIT Margin (2021 - 2023) Analysis & Trends
Dating back to FY2021, Belpointe PREP's EBIT Margin record includes 5 years.
- EBIT Margin has a four-year change of +58.79 percentage points (FY2021 to FY2025).
- The FY2025 figure ranks as the highest annual EBIT Margin in data going back to FY2021.
- According to Business Quant data, EBIT Margin came in at -517.72% in FY2024 (+119.41 pp), -637.13% in FY2023 (-52.95 pp), -584.18% in FY2022 (-279.07 pp) and -305.12% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 77.96% |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 66.07% |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | 85.16% |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 34.49% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 91.08% |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -16.31% |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 11.25% |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | -325.18% |
| 10 | Belpointe PREP | 163.39 Mn | 163.39 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -818.20% |
| Sep 30, 2023 | -705.56% |
| Jun 30, 2023 | -523.26% |
| Dec 31, 2022 | -720.15% |
| Sep 30, 2022 | -393.20% |
| Jun 30, 2022 | -583.65% |
| Dec 31, 2021 | -935.22% |
| Sep 30, 2021 | 47.84% |
| Jun 30, 2021 | -26.72% |
API Access
Belpointe PREP EBIT 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=ebit-margin&ticker=OZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=OZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();