-
1 Comment
Beijing Global Safety Technology Co., Ltd is currently in a long term downtrend where the price is trading 20.6% below its 200 day moving average.
From a valuation standpoint, the stock is 56.5% cheaper than other stocks from the Technology sector with a price to sales ratio of 3.5.
Beijing Global Safety Technology Co., Ltd's total revenue rose by 5.6% to $788M since the same quarter in the previous year.
Its net income has dropped by 14.3% to $89M since the same quarter in the previous year.
Finally, its free cash flow grew by 52.1% to $209M since the same quarter in the previous year.
Based on the above factors, Beijing Global Safety Technology Co., Ltd gets an overall score of 3/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
Sector | Technology |
Industry | Software - Application |
ISIN | CNE100002813 |
Market Cap | 4B |
---|---|
Beta | 0.06 |
Target Price | 79 |
PE Ratio | None |
Dividend Yield | None |
Beijing Global Safety Technology Co., Ltd. provides public safety and emergency management solutions in China and internationally. It offers urban safety, emergency management, consumer business, equipment and fire protection, safety education, and public safety solutions. The company also provides early warning systems for natural disasters; health emergency systems; chemical industrial park safety systems; grassroots emergency cloud services; and marine environmental safety and environmental safety solutions. Beijing Global Safety Technology Co., Ltd. was founded in 2005 is based in Beijing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300523.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