Belpointe PREP, LLC (OZ) Accumulated Expenses (2021 - 2026)
Belpointe PREP's Accumulated Expenses was $9.58 million in Q1 2026, down 0.1% from $9.59 million a year earlier but up 75.2% from the prior quarter.
Belpointe PREP, LLC (OZ) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Belpointe PREP came in at $5.47 million, down 46.8% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of 30.8% (FY2021 to FY2025).
- In earlier years, Accumulated Expenses was $10.27 million in FY2024 (+12.9%), $9.1 million in FY2023 (+35.2%), $6.73 million in FY2022 (+260.8%) and $1.87 million in FY2021.
- Quarterly Accumulated Expenses has moved between $1.87 million (Q4 2021) and $14.87 million (Q2 2023) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with an average decline of 15.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2022 (growth of 260.8%); the worst was Q4 2025 (a decline of 46.8%).
- Per Business Quant data, OZ's Accumulated Expenses in the three quarters before Q1 2026 was $5.47 million (Q4 2025), $7.84 million (Q3 2025) and $10.62 million (Q2 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.58 Mn |
| Dec 31, 2025 | 5.47 Mn |
| Sep 30, 2025 | 7.84 Mn |
| Jun 30, 2025 | 10.62 Mn |
| Mar 31, 2025 | 9.59 Mn |
| Dec 31, 2024 | 10.27 Mn |
| Sep 30, 2024 | 12.53 Mn |
| Jun 30, 2024 | 10.54 Mn |
| Mar 31, 2024 | 10.09 Mn |
| Dec 31, 2023 | 9.10 Mn |
| Sep 30, 2023 | 14.79 Mn |
| Jun 30, 2023 | 14.87 Mn |
| Mar 31, 2023 | 8.40 Mn |
| Dec 31, 2022 | 6.73 Mn |
| Dec 31, 2021 | 1.87 Mn |
Belpointe PREP, LLC Accumulated Expenses 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=accumulated-expenses&ticker=OZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=OZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();