-
1 Comment
Kaveri Seed Company Limited is currently in a long term uptrend where the price is trading 30.4% above its 200 day moving average.
From a valuation standpoint, the stock is 12.9% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 3.0.
Kaveri Seed Company Limited's total revenue sank by 2.8% to $1B since the same quarter in the previous year.
Its net income has increased by 10.4% to $91M since the same quarter in the previous year.
Finally, its free cash flow grew by 304.4% to $1B since the same quarter in the previous year.
Based on the above factors, Kaveri Seed Company Limited gets an overall score of 4/5.
Exchange | NSE |
---|---|
CurrencyCode | INR |
ISIN | INE455I01029 |
Sector | Basic Materials |
Industry | Agricultural Inputs |
Target Price | 978.5 |
---|---|
Dividend Yield | 0.4% |
Beta | 0.48 |
Market Cap | 76B |
PE Ratio | 24.69 |
Kaveri Seed Company Limited researches, develops, produces, processes, and markets hybrid seeds and vegetable crop seeds in India. Its product portfolio consists of seeds for various field crops, such as maize, cotton, sunflower, mustard, sorghum, paddy, pulses, bajra, and wheat; and vegetables comprising tomatoes, okra, chilies, watermelon, gourds, and brinjal. The company also develops micronutrients. It sells its products through distributors and retailers network. It also exports its products to Pakistan, Sri Lanka, Bangladesh, Vietnam, and internationally. The company was founded in 1976 and is based in Secunderabad, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KSCL.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