-
1 Comment
Beijing Capital Land Ltd is currently in a long term uptrend where the price is trading 36.4% above its 200 day moving average.
From a valuation standpoint, the stock is 96.6% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 0.2.
Beijing Capital Land Ltd's total revenue sank by 10.6% to $9B since the same quarter in the previous year.
Its net income has dropped by 9.1% to $850M since the same quarter in the previous year.
Finally, its free cash flow grew by 926.2% to $3B since the same quarter in the previous year.
Based on the above factors, Beijing Capital Land Ltd gets an overall score of 3/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| ISIN | CNE100000239 |
| Sector | Real Estate |
| Industry | Real Estate - Development |
| Market Cap | 12B |
|---|---|
| Target Price | 4.01 |
| Dividend Yield | 0.8% |
| Beta | 0.84 |
| PE Ratio | 5.79 |
Beijing Capital Land Ltd., together with its subsidiaries, engages in the real estate development and investment activities in the People's Republic of China. It develops residences and office buildings, as well as land; and operates commercial real estate properties. The company also provides property consulting, management, and leasing. As of December 31, 2020, it had 16.83 million square meters of land bank and 13.02 million square meters of total ground area. The company was founded in 2002 and is headquartered in Beijing, the People's Republic of China. Beijing Capital Land Ltd. is a subsidiary of Beijing Capital Group Co., Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2868.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
