Sunrise Real Estate (SRRE) Operating Expenses (2010 - 2026)
Sunrise Real Estate (SRRE) posted Operating Expenses of $317,012 for Q2 2026, up 23.8% from $255,988 a year earlier and up 18.0% from the prior quarter.
Sunrise Real Estate (SRRE) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Sunrise Real Estate was $1.23 million, down 7.8% year-over-year; for FY2025, it was $1.25 million, down 11.2% from FY2024.
- Annual Operating Expenses has declined for five consecutive years, with a five-year compound annual growth rate of -19.5% (FY2020 to FY2025).
- In prior years, Sunrise Real Estate's Operating Expenses was $1.41 million in FY2024 (-21.9%), $1.8 million in FY2023 (-40.5%), $3.03 million in FY2022 (-11.4%) and $3.42 million in FY2021 (-7.6%).
- Quarterly Operating Expenses has run from a low of $15,464 in Q3 2024 to a high of $1.52 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last seven quarters, with an average decline of 9.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2023, with growth of 119.6%; the weakest was Q3 2024, with a decline of 97.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $268,762 (Q1 2026), $311,758 (Q4 2025) and $335,539 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 54.24 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 15.90 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | 29.22 Mn |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 104.06 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | -8.70 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | 230.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | 21.49 Mn |
| 10 | Sunrise Real Estate | 4.81 Mn | -96.51 Mn | -314,727.00 | 317,012.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 317,012.00 |
| Mar 31, 2026 | 268,762.00 |
| Dec 31, 2025 | 311,758.00 |
| Sep 30, 2025 | 335,539.00 |
| Jun 30, 2025 | 255,988.00 |
| Mar 31, 2025 | 346,541.00 |
| Dec 31, 2024 | 720,087.00 |
| Sep 30, 2024 | 15,464.00 |
| Jun 30, 2024 | 353,624.00 |
| Mar 31, 2024 | 317,855.00 |
| Dec 31, 2023 | 351,220.00 |
| Sep 30, 2023 | 510,739.00 |
| Jun 30, 2023 | 490,120.00 |
| Mar 31, 2023 | 450,479.00 |
| Dec 31, 2022 | 1.52 Mn |
| Sep 30, 2022 | 533,435.00 |
| Jun 30, 2022 | 223,156.00 |
| Mar 31, 2022 | 702,303.00 |
| Dec 31, 2021 | 952,011.00 |
| Sep 30, 2021 | 477,979.00 |
Sunrise Real Estate 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=SRRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SRRE", "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=SRRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();