-
1 Comment
Sanquan Food Co., Ltd is currently in a long term downtrend where the price is trading 20.2% below its 200 day moving average.
From a valuation standpoint, the stock is 58.8% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 2.8.
Sanquan Food Co., Ltd's total revenue rose by 26.3% to $1B since the same quarter in the previous year.
Its net income has increased by 324.9% to $118M since the same quarter in the previous year.
Finally, its free cash flow grew by 159.7% to $180M since the same quarter in the previous year.
Based on the above factors, Sanquan Food Co., Ltd gets an overall score of 4/5.
| Industry | Packaged Foods |
|---|---|
| Sector | Consumer Defensive |
| ISIN | CNE1000009J2 |
| CurrencyCode | CNY |
| Exchange | SHE |
| Market Cap | 14B |
|---|---|
| Dividend Yield | 1.3% |
| Target Price | 19.41 |
| Beta | 0.18 |
| PE Ratio | 18.18 |
Sanquan Food Co., Ltd. produces and sells frozen food products in China. The company offers private kitchen series products; dumplings; rice balls; children's series products; soup dumpling; pastries; dim sum; wonton; desserts; convenient fast-food products; Western food products; and rice products. It offers its products under the Sanquan Ling brand name. The company sells its products through online and offline sales channels. The company was formerly known as Zhengzhou Sanquan Foods Co., Ltd and changed its name to Sanquan Food Co., Ltd. in July 2013. Sanquan Food Co., Ltd. was founded in 1992 and is based in Zhengzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002216.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 2024
