-
1 Comment
Kothari Petrochemicals Limited is currently in a long term uptrend where the price is trading 63.2% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 0.7.
Kothari Petrochemicals Limited's total revenue sank by 5.7% to $616M since the same quarter in the previous year.
Its net income has increased by 100.6% to $79M since the same quarter in the previous year.
Finally, its free cash flow grew by 30.7% to $114M since the same quarter in the previous year.
Based on the above factors, Kothari Petrochemicals Limited gets an overall score of 4/5.
Exchange | NSE |
---|---|
CurrencyCode | INR |
Sector | Basic Materials |
Industry | Specialty Chemicals |
ISIN | INE720A01015 |
Beta | 0.29 |
---|---|
Market Cap | 10B |
PE Ratio | 14.98 |
Dividend Yield | 1.0% |
Target Price | None |
Kothari Petrochemicals Limited engages in the manufacture and sale of petrochemical products in India and internationally. It offers polyisobutylene (PIB) products, such as KVIS 10, KVIS 20, KVIS 30, KVIS 100, KVIS 150, and KVIS 200 for lubricants, adhesives, stretch/silage, sealants and caulks, polymer modification, construction chemicals and rubber, optical fibre, and miscellaneous applications. The company also provides PIB R-01, a glue for pest repellant, adhesive, and tackiness applications. Kothari Petrochemicals Limited was incorporated in 1989 and is headquartered in Chennai, India. Kothari Petrochemicals Limited is a subsidiary of BHK Trading LLP.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KOTHARIPET.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