-
1 Comment
Ajanta Pharma Limited is currently in a long term uptrend where the price is trading 23.0% above its 200 day moving average.
From a valuation standpoint, the stock is 12.8% more expensive than other stocks from the Healthcare sector with a price to sales ratio of 5.4.
Ajanta Pharma Limited's total revenue rose by 15.0% to $7B since the same quarter in the previous year.
Its net income has increased by 64.2% to $2B since the same quarter in the previous year.
Finally, its free cash flow grew by 32.4% to $3B since the same quarter in the previous year.
Based on the above factors, Ajanta Pharma Limited gets an overall score of 4/5.
Sector | Healthcare |
---|---|
Industry | Drug Manufacturers - Specialty & Generic |
Exchange | NSE |
CurrencyCode | INR |
ISIN | INE031B01049 |
PE Ratio | 35.46 |
---|---|
Target Price | 3020.1667 |
Dividend Yield | 2.1% |
Beta | 0.22 |
Market Cap | 325B |
Ajanta Pharma Limited, a specialty pharmaceutical formulation company, together with its subsidiaries, develops, manufactures, and markets speciality pharmaceutical finished dosages. The company markets and serves various therapeutic segments, such as cardiology, antidiabetic, ophthalmology, dermatology, pain management, and respiratory areas. It also provides tablets, capsules, injectables, inhalers, ointments, creams, and liquids. The company serves in India, Africa, rest of Asia, the United States, and internationally. Ajanta Pharma Limited was founded in 1973 and is headquartered in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AJANTPHARM.NSE 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