-
1 Comment
Hainan Haide Capital Management Co., Ltd is currently in a long term uptrend where the price is trading 17.2% above its 200 day moving average.
From a valuation standpoint, the stock is 211.4% more expensive than other stocks from the Real Estate sector with a price to sales ratio of 23.3.
Hainan Haide Capital Management Co., Ltd's total revenue sank by 26.5% to $81M since the same quarter in the previous year.
Its net income has dropped by 24.2% to $38M since the same quarter in the previous year.
Finally, its free cash flow fell by 62.3% to $43M since the same quarter in the previous year.
Based on the above factors, Hainan Haide Capital Management Co., Ltd gets an overall score of 1/5.
| ISIN | CNE0000005V7 |
|---|---|
| Exchange | SHE |
| CurrencyCode | CNY |
| Sector | Financial Services |
| Industry | Asset Management |
| PE Ratio | 17.94 |
|---|---|
| Target Price | None |
| Dividend Yield | 7.3% |
| Market Cap | 11B |
| Beta | 0.14 |
Hainan Haide Capital Management Co., Ltd. engages in the non-performing asset management business. The company provides financial services for local enterprise restructuring, industrial integration, transformation, and upgrading in terms of asset acquisition, disposal, operation, and management. It also involved in the investment business and debt reorganization. The company was formerly known as Hainan Haide Industry Co.,Ltd. The company was founded in 1992 and is based in Beijing, China. Haide Capital Management Co., Ltd. is a subsidiary of Wing Tai Group Co., Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000567.SHE 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
