-
1 Comment
Zhejiang Huamei Holding CO., LTD is currently in a long term downtrend where the price is trading 7.2% below its 200 day moving average.
From a valuation standpoint, the stock is 49.1% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 3.2.
Zhejiang Huamei Holding CO., LTD's total revenue sank by 18.3% to $358M since the same quarter in the previous year.
Its net income has increased by 15.8% to $32M since the same quarter in the previous year.
Finally, its free cash flow grew by 245.3% to $91M since the same quarter in the previous year.
Based on the above factors, Zhejiang Huamei Holding CO., LTD gets an overall score of 3/5.
ISIN | CNE000000D65 |
---|---|
CurrencyCode | CNY |
Exchange | SHE |
Industry | Publishing |
Sector | Communication Services |
Dividend Yield | 0.0% |
---|---|
Target Price | 13 |
Beta | 0.81 |
PE Ratio | 66.33 |
Market Cap | 6B |
Zhejiang Huamei Holding CO., LTD. primarily engages in the advertising services. The company is involved in the newspaper, online, outdoor, radio broadcasts, and other forms of advertisements; newspaper distribution; and printing of newspapers, magazines, books, advertising leaflets, periodicals, magazines, digital graphic products, and packaging supplies for government agencies, enterprises, and institutions. It also provides vocational, international, IT, art, online vocational, and preschool education services; exhibition and marketing services; and logistics and distribution services. The company was founded in 1993 and is based in Hangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000607.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 2024