-
1 Comment
Kemen Noodle Manufacturing Co.,Ltd is currently in a long term downtrend where the price is trading 20.1% below its 200 day moving average.
From a valuation standpoint, the stock is 80.9% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 1.3.
Kemen Noodle Manufacturing Co.,Ltd's total revenue rose by 33.1% to $978M since the same quarter in the previous year.
Its net income has increased by 131.4% to $66M since the same quarter in the previous year.
Finally, its free cash flow grew by 47.7% to $-63M since the same quarter in the previous year.
Based on the above factors, Kemen Noodle Manufacturing Co.,Ltd gets an overall score of 4/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
ISIN | CNE100001CF8 |
Sector | Consumer Defensive |
Industry | Packaged Foods |
Market Cap | 3B |
---|---|
PE Ratio | 17.74 |
Target Price | 16 |
Beta | 0.47 |
Dividend Yield | 4.9% |
Chen Ke Ming Food Manufacturing Co., Ltd. engages in the production and sale of rice and flour products in China. It offers noodles; non-fried instant noodles, fresh mixed noodles, cooked wet noodles, semi-dry noodles, self-heating rice, and dish packs; and kitchen noodles, hand plate, mustard, fan, flour, knife cut surface noodle series. The company is also involved in breeding, slaughtering, and sale of pork, pork strip, and pork by products. It sells its products under the Chen Keming, Jinmai Chu, Laiwan Noodles, and Wugu Daochang brands. The company distributes its products online on e-commerce platforms. Chen Ke Ming Food Manufacturing Co., Ltd. was founded in 1984 and is based in Changsha City, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002661.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