-
1 Comment
Lancy Co., Ltd is currently in a long term uptrend where the price is trading 52.6% above its 200 day moving average.
From a valuation standpoint, the stock is 16.6% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 6.0.
Lancy Co., Ltd's total revenue sank by 12.6% to $768M since the same quarter in the previous year.
Its net income has increased by 153.8% to $53M since the same quarter in the previous year.
Finally, its free cash flow grew by 210.4% to $62M since the same quarter in the previous year.
Based on the above factors, Lancy Co., Ltd gets an overall score of 3/5.
| Sector | Consumer Cyclical |
|---|---|
| Industry | Apparel Manufacturing |
| ISIN | CNE1000016M1 |
| Exchange | SHE |
| CurrencyCode | CNY |
| Market Cap | 7B |
|---|---|
| Beta | 1.67 |
| PE Ratio | 27.21 |
| Target Price | 18.9833 |
| Dividend Yield | 2.9% |
Lancy Co., Ltd. engages in the design, production, and sale of branded clothing, apparel, and home textile products in China and internationally. The company offers women's clothing under the LANCY, LIME, MOJO S.PHINE, and m.tsubomi brands; and children's clothing under the ETTOI, DearBaby, 2ya2yao, Putto, Design skin, and other brands. It is also involved in the medical beauty business under the Milan Boyu and HANJIN brands; provision of medical rejuvenation services; and operation of medical cosmetology centers that include cosmetic surgery, cosmetic dermatology, cosmetic Chinese medicine, cosmetic dentistry, and micro-plastic surgery under the Gao Yisheng brand. The company markets its products through stores, as well as online. Lancy Co., Ltd. was founded in 2000 and is based in Beijing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002612.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
