-
1 Comment
Bright Dairy & Food Co.,Ltd is currently in a long term downtrend where the price is trading 16.7% below its 200 day moving average.
From a valuation standpoint, the stock is 86.7% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.9.
Bright Dairy & Food Co.,Ltd's total revenue rose by 19.8% to $6B since the same quarter in the previous year.
Its net income has increased by 234.5% to $182M since the same quarter in the previous year.
Finally, its free cash flow grew by 121.1% to $20M since the same quarter in the previous year.
Based on the above factors, Bright Dairy & Food Co.,Ltd gets an overall score of 4/5.
| Sector | Consumer Defensive |
|---|---|
| Industry | Packaged Foods |
| ISIN | CNE000001C99 |
| Exchange | SHG |
| CurrencyCode | CNY |
| Market Cap | 12B |
|---|---|
| PE Ratio | 15.35 |
| Target Price | 9.45 |
| Beta | 0.59 |
| Dividend Yield | None |
Bright Dairy & Food Co.,Ltd engages in the development, production, and sale of dairy products, dairy cow breeding, cultivation, logistics and distribution activities in China. It offers fresh milk and yogurt, room temperature yogurts, lactic acid bacteria drinks, infant and middle-aged and elderly milk powders, cheese, butter, cold drinks, and other products. The company was formerly known as Shanghai Guangming Dairy Co., Ltd. and changed its name to Bright Dairy & Food Co.,Ltd in 2003. The company was founded in 1911 and is based in Shanghai, China. Bright Dairy & Food Co.,Ltd is a subsidiary of Bright Food (Group) Co., LTD.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600597.SHG 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
