-
1 Comment
Hainan Jingliang Holdings Co., Ltd is currently in a long term downtrend where the price is trading 1.0% below its 200 day moving average.
From a valuation standpoint, the stock is 97.1% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.2.
Hainan Jingliang Holdings Co., Ltd's total revenue rose by 31.3% to $3B since the same quarter in the previous year.
Its net income has increased by 46.3% to $70M since the same quarter in the previous year.
Finally, its free cash flow grew by 3.1% to $-175M since the same quarter in the previous year.
Based on the above factors, Hainan Jingliang Holdings Co., Ltd gets an overall score of 4/5.
ISIN | CNE000000HV7 |
---|---|
Industry | Packaged Foods |
Sector | Consumer Defensive |
CurrencyCode | HKD |
Exchange | SHE |
Dividend Yield | 0.0% |
---|---|
Market Cap | 6B |
Target Price | None |
PE Ratio | 12.64 |
Beta | -0.08 |
Hainan Jingliang Holdings Co., Ltd., together with its subsidiaries, processes, produces, and sells foodstuffs, agricultural and sideline products, grease, oils, and leisure foods in China. The company offers soybean oils, rapeseed oils, sunflower seed oils, sesame oils and pastes, and others under the Gu Chuan, Lv Bao, Gu Bi, and Huo Niao brands. It also develops, produces, and markets snack foods and breads, such as potato chips, and cakes and pastries under the brands of Little Prince, MS Dong, Jianqiang De Tudou, and Gu Chuan. The company was formerly known as Hainan Pearl River Holding Company Limited. Hainan Jingliang Holdings Co., Ltd. is based in Haikou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 200505.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