-
1 Comment
Youngor Group Co.,Ltd is currently in a long term downtrend where the price is trading 10.0% below its 200 day moving average.
From a valuation standpoint, the stock is 47.5% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 2.7.
Youngor Group Co.,Ltd's total revenue sank by 25.5% to $2B since the same quarter in the previous year.
Its net income has increased by 157.9% to $3B since the same quarter in the previous year.
Finally, its free cash flow grew by 284.7% to $1B since the same quarter in the previous year.
Based on the above factors, Youngor Group Co.,Ltd gets an overall score of 3/5.
Industry | Apparel Manufacturing |
---|---|
CurrencyCode | CNY |
Exchange | SHG |
Sector | Consumer Cyclical |
ISIN | CNE000000XR2 |
Target Price | 8.25 |
---|---|
Dividend Yield | 7.7% |
Beta | 0.36 |
Market Cap | 30B |
PE Ratio | 5.57 |
Youngor Group Co.,Ltd engages in the real estate development and financial investment activities in China and internationally. The company develops real estate properties, as well as offers hotel management, tourism development, health care, and other related services. It also engages in wool, hemp, and cotton spinning business; and designs and manufactures shirts, suits, trousers, jackets, ties and T-shirts under the Youngor, Mayor Youngor, Hart Schaffner Marx, HANP, and CEO brands. In addition, the company engages in the trading of oil, chemical products, iron and steel, non-ferrous metals, and agricultural products; foreign trade; auto trading business; and logistics and bidding business. Youngor Group Co.,Ltd was founded in 1979 and is based in Ningbo, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600177.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 2024