-
1 Comment
Beijing Shuzhi Technology Co., Ltd is currently in a long term downtrend where the price is trading 40.0% below its 200 day moving average.
From a valuation standpoint, the stock is 93.8% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.5.
Beijing Shuzhi Technology Co., Ltd's total revenue rose by 51.8% to $1B since the same quarter in the previous year.
Its net income has dropped by 278.7% to $-126M since the same quarter in the previous year.
Finally, its free cash flow fell by 8158.6% to $-658M since the same quarter in the previous year.
Based on the above factors, Beijing Shuzhi Technology Co., Ltd gets an overall score of 2/5.
Sector | Technology |
---|---|
Exchange | SHE |
CurrencyCode | CNY |
ISIN | CNE100000K07 |
Industry | Communication Equipment |
Market Cap | 352M |
---|---|
PE Ratio | None |
Target Price | 18.86 |
Beta | 0.23 |
Dividend Yield | 0.0% |
Beijing Shuzhi Technology Co., Ltd., operates as a knowledge as a service company in China and internationally. The company offers natural language processing, knowledge graph, data collection, and machine learning solutions for various fields, such as finance, medical treatment, transportation, education, environment, poverty alleviation, credit, and marketing. The company was formerly known as Beijing Miteno Communication Technology Co., Ltd. and changed its name to Beijing Shuzhi Technology Co., Ltd. in October 2018. Beijing Shuzhi Technology Co., Ltd. was incorporated in 2004 and is based in Beijing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300038.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