-
1 Comment
Shenzhen Ellassay Fashion Co., Ltd is currently in a long term uptrend where the price is trading 7.8% above its 200 day moving average.
From a valuation standpoint, the stock is 55.3% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 2.3.
Shenzhen Ellassay Fashion Co., Ltd's total revenue sank by 14.0% to $532M since the same quarter in the previous year.
Its net income has dropped by 6.6% to $79M since the same quarter in the previous year.
Finally, its free cash flow fell by 29.1% to $43M since the same quarter in the previous year.
Based on the above factors, Shenzhen Ellassay Fashion Co., Ltd gets an overall score of 2/5.
Exchange | SHG |
---|---|
Sector | Consumer Cyclical |
Industry | Apparel Manufacturing |
CurrencyCode | CNY |
ISIN | CNE100002227 |
Dividend Yield | None |
---|---|
Target Price | 9.32 |
PE Ratio | None |
Beta | 0.55 |
Shenzhen Ellassay Fashion Co.,Ltd. engages in the research and development, production, and sales of clothing products in China, Hong Kong, Macao, Taiwan, and internationally. The company's primary products include clothing, apparels, underwears, and others, as well as skirts, jackets, coats, and pants for men and women; and women's shoes. It offers its products under the ELLASSAY, Laurel, IRO Paris, Ed Hardy, and self-portrait brand names through its retail outlets and franchise stores. The company was founded in 1999 and is headquartered in Shenzhen, China. Shenzhen Ellassay Fashion Co.,Ltd. operates as a subsidiary of Shenzhen Ellassay Investment Management Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603808.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