-
1 Comment
Kothari Sugars and Chemicals Limited is currently in a long term uptrend where the price is trading 60.2% above its 200 day moving average.
From a valuation standpoint, the stock is 85.5% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.5.
Kothari Sugars and Chemicals Limited's total revenue rose by 33.8% to $945M since the same quarter in the previous year.
Its net income has increased by 178.2% to $55M since the same quarter in the previous year.
Finally, its free cash flow grew by 9.0% to $414M since the same quarter in the previous year.
Based on the above factors, Kothari Sugars and Chemicals Limited gets an overall score of 5/5.
Exchange | NSE |
---|---|
Industry | Confectioners |
CurrencyCode | INR |
ISIN | INE419A01022 |
Sector | Consumer Defensive |
PE Ratio | 18.3 |
---|---|
Market Cap | 3B |
Beta | 0.27 |
Target Price | None |
Dividend Yield | None |
Kothari Sugars and Chemicals Limited manufactures and sells sugar and its by-products in India and internationally. It operates through Sugar, Power, and Distillery segments. The company produces plantation white sugar products; and cogenerates power from bagasse. It also engages in production of extra neutral alcohol, ethanol, and rectified spirit distillery products. In addition, the company offers bio-compost from press mud and distillery effluents. The company was incorporated in 1960 and is headquartered in Chennai, India. Kothari Sugars and Chemicals Limited is a subsidiary of Parvathi Trading & Finance Co. Pvt. Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KOTARISUG.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