-
1 Comment
Shanxi Securities Co., Ltd is currently in a long term downtrend where the price is trading 11.7% below its 200 day moving average.
From a valuation standpoint, the stock is 16.2% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 6.4.
Shanxi Securities Co., Ltd's total revenue sank by 22.5% to $940M since the same quarter in the previous year.
Its net income has increased by 164.5% to $211M since the same quarter in the previous year.
Finally, its free cash flow fell by 231.0% to $-4B since the same quarter in the previous year.
Based on the above factors, Shanxi Securities Co., Ltd gets an overall score of 2/5.
CurrencyCode | CNY |
---|---|
Industry | Capital Markets |
Sector | Financial Services |
Exchange | SHE |
ISIN | CNE100000WJ0 |
Beta | 0.77 |
---|---|
PE Ratio | 38.6 |
Market Cap | 21B |
Dividend Yield | 2.1% |
Target Price | 8.44 |
Shanxi Securities Co., Ltd. operates as a security company in China. The company is involved in the underwriting and sponsorship of stocks and bonds, as well as commodity futures brokerage, financial futures brokerage, futures investment consulting, asset management, etc. businesses; and private equity investment activities. It also provides institutional financing services; and financial advisory services, such as mergers and acquisitions. In addition, the company engages in the development and sale of computer software and information system software. Shanxi Securities Co., Ltd. was incorporated in 1988 and is based in Taiyuan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002500.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 2024