Search
Products
Community
Markets
News
Brokers
More
EN
Get started
Markets
/
Hong Kong
/
Stocks
/
Finance
/
Real Estate Investment Trusts
/
2191
SF REAL ESTATE INVESTMENT TRUST
2191
Hong Kong Exchange
2191
Hong Kong Exchange
2191
Hong Kong Exchange
2191
Hong Kong Exchange
Market closed
Market closed
No trades
See on Supercharts
Overview
Financials
News
Discussions
Technicals
Forecast
Seasonals
2191
chart
Full chart
1 day
0.66%
5 days
1.67%
1 month
−1.61%
6 months
22.00%
Year to date
14.23%
1 year
15.09%
5 years
−32.07%
All time
−32.07%
2191 upcoming
earnings
Next report date
—
Report period
—
EPS estimate
—
Revenue estimate
—
Key
stats
Market capitalization
2.51 B
HKD
Dividend yield (indicated)
9.48%
Price to earnings Ratio (TTM)
29.11
Basic EPS (TTM)
0.10
HKD
Net income (FY)
219.47 M
HKD
Revenue (FY)
448.09 M
HKD
Shares float
520.00 M
Beta (1Y)
0.36
About SF REAL ESTATE INVESTMENT TRUST
Sector
Finance
Industry
Real Estate Investment Trusts
CEO
Hubert Chak
Website
sf-reit.com
Headquarters
Hong Kong
ISIN
HK0000735800
FIGI
BBG010FC8TK1
SF Real Estate Investment Trust invests in income-generating real estate that focuses on logistics properties. The company is headquartered in Hong Kong.
Show more
Financials
Performance
Annual
Annual
Quarterly
Quarterly
Revenue to profit
conversion
Annual
Annual
Quarterly
Quarterly
Earnings
Next:
—
Annual
Annual
Quarterly
Quarterly
0.00
2191
news
Technicals
Summarizing what the indicators are
suggesting.
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Analyst
rating
An aggregate view of professional's
ratings.
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.