-
1 Comment
DaFa Properties Group Limited is currently in a long term downtrend where the price is trading 11.5% below its 200 day moving average.
From a valuation standpoint, the stock is 88.0% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 0.7.
DaFa Properties Group Limited's total revenue rose by 66.9% to $6B since the same quarter in the previous year.
Its net income has dropped by 1.3% to $198M since the same quarter in the previous year.
Finally, its free cash flow fell by 5051.6% to $-2B since the same quarter in the previous year.
Based on the above factors, DaFa Properties Group Limited gets an overall score of 2/5.
| Sector | Real Estate |
|---|---|
| Industry | Real Estate - Development |
| Exchange | HK |
| CurrencyCode | HKD |
| ISIN | KYG261681079 |
| Market Cap | 77M |
|---|---|
| PE Ratio | None |
| Beta | 0.97 |
| Target Price | 6.78 |
| Dividend Yield | None |
DaFa Properties Group Limited, an investment holding company, operates as a real estate developer in the People's Republic of China. The company is involved in the development and sale of residential properties; property leasing and management; and provision of management consulting services. As of December 31, 2021, it had a portfolio of 80 projects consisting of 74 residential properties, 3 residential and commercial complexes, 2 commercial complexes, and 1 office floor. DaFa Properties Group Limited was founded in 1996 and is headquartered in Shanghai, China. DaFa Properties Group Limited is a subsidiary of Splendid Sun Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6111.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
