-
1 Comment
Guangdong Jiaying Pharmaceutical Co., Ltd is currently in a long term uptrend where the price is trading 62.1% above its 200 day moving average.
From a valuation standpoint, the stock is 47.0% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 5.1.
Guangdong Jiaying Pharmaceutical Co., Ltd's total revenue rose by 19.2% to $147M since the same quarter in the previous year.
Its net income has dropped by 61.3% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 305.1% to $14M since the same quarter in the previous year.
Based on the above factors, Guangdong Jiaying Pharmaceutical Co., Ltd gets an overall score of 4/5.
Guangdong Jiaying Pharmaceutical Co., Ltd. engages in the research and development, production, and sale of Chinese patent medicines in Mainland China. The company offers medicines primarily for the treatment of throat ailments, colds, orthopedics, rheumatism, gynecology, hepatobiliary diseases, tonics, and gastrointestinal disorders. It also provides Shuangliao Houfeng powder, Chongganling tablets, Jiegu Qili tablets (capsules), Xiaoyan Lidan Tablets, and Jinju Wuhua tea, etc., as well as double throat lozenges and tablets, heavy psychotherapy, Yuqiao detoxification granules, orange peel cough granules, bone-setting Qili tablets and capsules, anti-inflammatory and choleretic tablets, chrysanthemum five-flower tea granules, Zhuang Yao Jian Shen pills, Gujing Shenrong pills, Guifuli Zhongwan, and stomach pain tablets. Guangdong Jiaying Pharmaceutical Co., Ltd. was founded in 2003 and is based in Meizhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002198.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 2026