Sunrise Realty Trust (SUNS) Accumulated Expenses (2024 - 2026)
Sunrise Realty Trust (SUNS) posted Accumulated Expenses of $647,661 for Q3 2026, up 28.5% from $504,186 a year earlier but down 19.9% from the prior quarter.
Sunrise Realty Trust (SUNS) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Sunrise Realty Trust's Accumulated Expenses came in at $730,644, up 455.1% from FY2024.
- In prior years, Sunrise Realty Trust's Accumulated Expenses was $131,617 in FY2024.
- Quarterly Accumulated Expenses has run from a low of $43,197 in Q3 2024 to a high of $1.08 million in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 329.4% over the last four quarters.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $809,047 (Q2 2026), $1.08 million (Q1 2026) and $730,644 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Sunrise Realty Trust | 97.58 Mn | 73.84 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 647,661.00 |
| Jun 30, 2026 | 809,047.00 |
| Mar 31, 2026 | 1.08 Mn |
| Dec 31, 2025 | 730,644.00 |
| Sep 30, 2025 | 504,186.00 |
| Jun 30, 2025 | 373,109.00 |
| Mar 31, 2025 | 132,297.00 |
| Dec 31, 2024 | 131,617.00 |
| Sep 30, 2024 | 43,197.00 |
Sunrise Realty Trust 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=SUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();