-
1 Comment
China Animal Husbandry Industry Co., Ltd is currently in a long term downtrend where the price is trading 10.0% below its 200 day moving average.
From a valuation standpoint, the stock is 74.0% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 2.5.
China Animal Husbandry Industry Co., Ltd's total revenue rose by 17.7% to $1B since the same quarter in the previous year.
Its net income has dropped by 302.5% to $-66M since the same quarter in the previous year.
Finally, its free cash flow grew by 90.3% to $313M since the same quarter in the previous year.
Based on the above factors, China Animal Husbandry Industry Co., Ltd gets an overall score of 3/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
ISIN | CNE000000Y03 |
Sector | Healthcare |
Industry | Drug Manufacturers - Specialty & Generic |
Beta | 0.59 |
---|---|
Market Cap | 7B |
PE Ratio | 116.67 |
Target Price | 8.07 |
Dividend Yield | None |
China Animal Husbandry Industry Co., Ltd., together with its subsidiaries, researches, develops, produces, and sells animal health and nutrition products in China and internationally. It operates through Animal Disease Epidemic Prevention; Animal Disease Treatment; Animal Nutrition; and Others segments. The company offers biological products; veterinary vaccines for livestock, poultry, and pet; veterinary drug products; and animal feed and additives, such as corn and corn by-products, soybean meal, fish meal, and lysins. It also trades in raw materials. China Animal Husbandry Industry Co., Ltd. was founded in 1998 and is headquartered in Beijing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600195.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