Sunrise Real Estate (SRRE) Price to Earnings (2016 - 2025)
Sunrise Real Estate's Price to Earnings came in at 22.38 for Q3 2025.
Analysis
Sunrise Real Estate (SRRE) Price to Earnings (2016 - 2025) Analysis & Trends
For FY2021, Sunrise Real Estate's Price to Earnings was 0.41.
- Going back by year, Price to Earnings was 0.69 in FY2018 (+597.9%) and 0.10 in FY2017 (+45.7%).
- The Q3 2025 figure represents the highest quarterly Price to Earnings in data going back to Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn |
| 10 | Sunrise Real Estate | 4.81 Mn | -96.51 Mn | -314,727.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 22.38 |
| Sep 30, 2022 | 2.47 |
| Jun 30, 2022 | 3.71 |
| Mar 31, 2022 | 0.34 |
| Dec 31, 2021 | 0.41 |
| Sep 30, 2021 | 1.84 |
| Jun 30, 2021 | 0.77 |
| Sep 30, 2020 | 1.63 |
| Jun 30, 2019 | 1.52 |
| Mar 31, 2019 | 1.74 |
| Dec 31, 2018 | 0.69 |
| Sep 30, 2018 | 0.20 |
| Jun 30, 2018 | 0.27 |
| Mar 31, 2018 | 0.35 |
| Dec 31, 2017 | 0.10 |
| Sep 30, 2017 | 0.09 |
| Jun 30, 2017 | 0.01 |
| Mar 31, 2017 | 0.01 |
| Dec 31, 2016 | 0.07 |
| Sep 30, 2016 | 0.10 |
API Access
Sunrise Real Estate Price to Earnings 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=price-to-earnings&ticker=SRRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SRRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();