-
1 Comment
Huaan Securities Co., Ltd is currently in a long term downtrend where the price is trading 23.7% below its 200 day moving average.
From a valuation standpoint, the stock is 9.7% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 6.9.
Huaan Securities Co., Ltd's total revenue sank by 20.0% to $785M since the same quarter in the previous year.
Its net income has increased by 13.2% to $266M since the same quarter in the previous year.
Finally, its free cash flow fell by 128.9% to $-32M since the same quarter in the previous year.
Based on the above factors, Huaan Securities Co., Ltd gets an overall score of 2/5.
| Industry | Capital Markets |
|---|---|
| Sector | Financial Services |
| Exchange | SHG |
| CurrencyCode | CNY |
| ISIN | CNE100002GR2 |
| Beta | 0.78 |
|---|---|
| PE Ratio | 16.13 |
| Target Price | 5.66 |
| Dividend Yield | 2.0% |
| Market Cap | 34B |
Huaan Securities Co., Ltd. provides investment and financing solutions in China. It offers securities brokerage and investment consulting services; financial consulting related services to securities trading and investment; securities underwriting and sponsorship services; securities proprietary trading services; margin trading services; agency sales services for financial products and securities investment funds; and intermediary introduction services for futures companies, as well as custody services for publicly and privately raised securities investment funds. The company was founded in 1991 and is headquartered in Hefei, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600909.SHG 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 2026