-
1 Comment
Soochow Securities Co., Ltd is currently in a long term downtrend where the price is trading 11.6% below its 200 day moving average.
From a valuation standpoint, the stock is 35.8% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 4.9.
Soochow Securities Co., Ltd's total revenue rose by 42.8% to $2B since the same quarter in the previous year.
Its net income has increased by 162.9% to $461M since the same quarter in the previous year.
Finally, its free cash flow fell by 250.7% to $-11B since the same quarter in the previous year.
Based on the above factors, Soochow Securities Co., Ltd gets an overall score of 3/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE1000019P8 |
| Sector | Financial Services |
| Industry | Capital Markets |
| Market Cap | 47B |
|---|---|
| PE Ratio | 13.39 |
| Target Price | 7.09 |
| Beta | 0.68 |
| Dividend Yield | 2.5% |
Soochow Securities Co., Ltd. engages in the securities business in China. The company offers investment banking services, such as equity financing, bond financing; NEEQ listing, and industry fund; wealth management services, including securities brokerage, investment advisory, financial products, securities finance, institutional services, and IB business. It also provides asset management and investment transaction services; research services comprising macro research, upstream energy, high-end manufacturing, consumer goods, and TMT. The company was founded in 1993 and is based in Suzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 601555.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
