Sunrise Realty Trust (SUNS) Operating Expenses (2024 - 2026)
Sunrise Realty Trust's Operating Expenses was $2.22 million in Q2 2026, up 20.4% from $1.84 million a year earlier.
Sunrise Realty Trust (SUNS) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sunrise Realty Trust's Operating Expenses was $8.21 million through Jun 30, 2026, up 30.2% year-over-year; for FY2025, it came in at $7.4 million, up 98.9% from FY2024.
- In earlier years, Operating Expenses was $3.72 million in FY2024 and $10,120 in FY2023.
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Sunrise Realty Trust | 86.92 Mn | 86.92 Mn | - | 2.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.22 Mn |
| Dec 31, 2025 | 1.96 Mn |
| Sep 30, 2025 | 2.20 Mn |
| Jun 30, 2025 | 1.84 Mn |
| Mar 31, 2025 | 1.41 Mn |
| Dec 31, 2024 | 1.58 Mn |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | 393,979.00 |
| Mar 31, 2024 | 263,961.00 |
Sunrise Realty Trust Operating 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=operating-expenses&ticker=SUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();