-
1 Comment
Hang Lung Properties Limited is currently in a long term downtrend where the price is trading 6.0% below its 200 day moving average.
From a valuation standpoint, the stock is 56.3% more expensive than other stocks from the Real Estate sector with a price to sales ratio of 10.1.
Hang Lung Properties Limited's total revenue sank by 0.0% to $2B since the same quarter in the previous year.
Its net income has dropped by 0.0% to $1B since the same quarter in the previous year.
Finally, its free cash flow fell by 39.1% to $925M since the same quarter in the previous year.
Based on the above factors, Hang Lung Properties Limited gets an overall score of 0/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | HK0101000591 |
Sector | Real Estate |
Industry | Real Estate Services |
Market Cap | 3B |
---|---|
Beta | 0.68 |
Target Price | None |
Dividend Yield | 14.% |
PE Ratio | 13.3 |
Hang Lung Properties Limited, an investment holding company, engages in the property investment, development, and management activities in Hong Kong and Mainland China. It operates through Property Leasing, Property Sales, and Hotel segments. The company is involved in the development, lease, and sale of properties. Its investment properties portfolio includes shopping malls, office and residential premises, retail, serviced apartment, hotel, and car parking properties, as well as industrial premises. The company also engages in the apartment operating and management, project management, car park management, and property agency activities. In addition, it provides management and financial services. The company was incorporated in 1949 and is headquartered in Central, Hong Kong. Hang Lung Properties Limited is a subsidiary of Hang Lung Group Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AOP.F using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025