-
1 Comment
Client Service International, Inc is currently in a long term uptrend where the price is trading 58.8% above its 200 day moving average.
From a valuation standpoint, the stock is 22.9% cheaper than other stocks from the Technology sector with a price to sales ratio of 6.2.
Client Service International, Inc's total revenue rose by 19.6% to $232M since the same quarter in the previous year.
Its net income has increased by 91.6% to $-2M since the same quarter in the previous year.
Finally, its free cash flow fell by 283.7% to $-309M since the same quarter in the previous year.
Based on the above factors, Client Service International, Inc gets an overall score of 4/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| Sector | Technology |
| Industry | Software - Application |
| ISIN | CNE100002NH9 |
| Dividend Yield | None |
|---|---|
| PE Ratio | None |
| Beta | 0.13 |
| Target Price | 15.45 |
Client Service International, Inc. engages in the provision of financial software, digital financial solutions, and information technology services in China. The company offers online application software products, domestic databases, and other technical products; and internet banking solutions, such as consulting, planning, construction, operation, product innovation, and marketing for banks and other financial institution. It also offers internet channel products, large-scale middleware products, next-generation core banking products, distributed transactional databases, smart banking " intelligent branch equipment, and security products. Client Service International, Inc. was founded in 1999 and is headquartered in Beijing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300663.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 2026