Sunrise Realty Trust (SUNS) Change in Accured Expenses (2024 - 2025)
Sunrise Realty Trust (SUNS) posted Change in Accured Expenses of -$80,184 for Q4 2025, compared with -$29,175 a year earlier.
Analysis
Sunrise Realty Trust (SUNS) Change in Accured Expenses (2024 - 2025) Analysis & Trends
For FY2025, Sunrise Realty Trust's Change in Accured Expenses came in at $599,027, up 52.4% from FY2024.
- In prior years, Sunrise Realty Trust's Change in Accured Expenses was $393,063 in FY2024 and $10,000 in FY2023.
- Quarterly Change in Accured Expenses has run from a low of -$393,063 in Q1 2025 to a high of $689,140 in Q2 2025 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $383,134 (Q3 2025), $689,140 (Q2 2025) and -$393,063 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Sunrise Realty Trust | 83.81 Mn | 83.81 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -80,184.00 |
| Sep 30, 2025 | 383,134.00 |
| Jun 30, 2025 | 689,140.00 |
| Mar 31, 2025 | -393,063.00 |
| Dec 31, 2024 | -29,175.00 |
| Sep 30, 2024 | -103,695.00 |
| Jun 30, 2024 | 317,818.00 |
| Mar 31, 2024 | 208,115.00 |
API Access
Sunrise Realty Trust Change in Accured 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=change-in-accured-expenses&ticker=SUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SUNS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();