-
1 Comment
Shanghai LongYun Media Group Co., Ltd is currently in a long term uptrend where the price is trading 12.6% above its 200 day moving average.
From a valuation standpoint, the stock is 68.2% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 2.0.
Shanghai LongYun Media Group Co., Ltd's total revenue sank by 15.7% to $133M since the same quarter in the previous year.
Its net income has increased by 101.2% to $81K since the same quarter in the previous year.
Finally, its free cash flow fell by 63.0% to $13M since the same quarter in the previous year.
Based on the above factors, Shanghai LongYun Media Group Co., Ltd gets an overall score of 3/5.
CurrencyCode | CNY |
---|---|
Exchange | SHG |
Sector | Communication Services |
Industry | Advertising Agencies |
ISIN | CNE100002599 |
Market Cap | 1B |
---|---|
Beta | 0.78 |
PE Ratio | 70.82 |
Target Price | None |
Dividend Yield | None |
Shanghai LongYun Cultural Creation & Technology Group Co., Ltd. provides advertising services in the People's Republic of China. It offers market research, brand management, creative design, video production, advertising strategy, advertising execution, advertising evaluation, and other marketing services. The company was formerly known as Shanghai LongYun Advertising & Media Co., Ltd. and changed its name to Shanghai LongYun Media Group Co., Ltd. in February 2019. Shanghai LongYun Cultural Creation & Technology Group Co., Ltd. was founded in 2003 and is headquartered in Shanghai, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603729.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 2025