-
1 Comment
Yantai Shuangta Food Co., Ltd is currently in a long term downtrend where the price is trading 15.4% below its 200 day moving average.
From a valuation standpoint, the stock is 6.0% more expensive than other stocks from the Consumer Defensive sector with a price to sales ratio of 7.2.
Yantai Shuangta Food Co., Ltd's total revenue rose by 3.9% to $475M since the same quarter in the previous year.
Its net income has increased by 88.4% to $102M since the same quarter in the previous year.
Finally, its free cash flow grew by 1562.1% to $292M since the same quarter in the previous year.
Based on the above factors, Yantai Shuangta Food Co., Ltd gets an overall score of 3/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| Sector | Consumer Defensive |
| Industry | Packaged Foods |
| ISIN | CNE100000V04 |
| PE Ratio | 106.4 |
|---|---|
| Target Price | 16 |
| Dividend Yield | 0.8% |
| Market Cap | 7B |
| Beta | 0.85 |
Yantai Shuangta Food Co., Ltd. primarily produces and sells vermicelli under the Longkou brand name in China. It also offers pea protein, pea starch, and pea fiber products; and vermicelli products, including wide vermicelli, sweet potato circle, XINLAN, Longkou, function vermicelli, pure beans, potato, and mung bean protein. The company was formerly known as Yantai Jinhua Cellophane Noodles Co., Ltd and changed its name to Yantai Shuangta Food Co., Ltd. in April 2008. Yantai Shuangta Food Co., Ltd. was founded in 1992 and is based in Zhaoyuan, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002481.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
