-
1 Comment
Shen Zhen Shengxunda Technology Co.,Ltd is currently in a long term downtrend where the price is trading 1.5% below its 200 day moving average.
From a valuation standpoint, the stock is 190.9% more expensive than other stocks from the Communication Services sector with a price to sales ratio of 18.3.
Shen Zhen Shengxunda Technology Co.,Ltd's total revenue rose by 4.3% to $66M since the same quarter in the previous year.
Its net income has increased by 399.6% to $6M since the same quarter in the previous year.
Finally, its free cash flow fell by 91.4% to $4M since the same quarter in the previous year.
Based on the above factors, Shen Zhen Shengxunda Technology Co.,Ltd gets an overall score of 2/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE1000027S5 |
| Sector | Communication Services |
| Industry | Electronic Gaming & Multimedia |
| Market Cap | 4B |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Beta | 0.64 |
| Dividend Yield | None |
Guangxi Xinxunda Technology Group Co., Ltd. engages in the live streaming e-commerce business, e-commerce direct sales business, and mineral products business. It provides communication, live data operation analysis, and live after-sales services, as well as involved in lithium ore business and trading of iron ore concentrate, coal and steel, and other mineral products. The company was formerly known as Shen Zhen Shengxunda Technology Co.,Ltd and changed its name to Guangxi Xinxunda Technology Group Co., Ltd. in October 2023. Guangxi Xinxunda Technology Group Co., Ltd. was founded in 2006 and is based in Shenzhen, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300518.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
