-
1 Comment
CSI Properties Limited is currently in a long term uptrend where the price is trading 5.0% above its 200 day moving average.
From a valuation standpoint, the stock is 65.9% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 2.0.
CSI Properties Limited's total revenue rose by 7.9% to $927M since the same quarter in the previous year.
Its net income has increased by 101.0% to $311M since the same quarter in the previous year.
Finally, its free cash flow fell by 35.9% to $222M since the same quarter in the previous year.
Based on the above factors, CSI Properties Limited gets an overall score of 4/5.
CurrencyCode | HKD |
---|---|
ISIN | BMG2581C1091 |
Sector | Real Estate |
Industry | Real Estate Services |
Exchange | HK |
Market Cap | 2B |
---|---|
Beta | 0.57 |
PE Ratio | None |
Target Price | 0.18 |
Dividend Yield | None |
CSI Properties Limited, an investment holding company, engages in property development and investment activities in Hong Kong, the People's Republic of China, and Macau. The company operates through four segments: Commercial Property Holding, Residential Property Holding, Macau Property Holding, and Securities Investment. It is also involved in securities trading and investment activities; treasury management business; issuing bonds; sale of securities; property holding and leasing; provision of property management services; and trades and invests in commercial and residential properties. The company was incorporated in 1991 and is headquartered in Central, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0497.HK 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