-
1 Comment
J.K. Cement Limited is currently in a long term uptrend where the price is trading 26.1% above its 200 day moving average.
From a valuation standpoint, the stock is 99.9% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 3.6.
J.K. Cement Limited's total revenue sank by 56.9% to $18B since the same quarter in the previous year.
Its net income has dropped by 34.0% to $2B since the same quarter in the previous year.
Finally, its free cash flow grew by 211.3% to $7B since the same quarter in the previous year.
Based on the above factors, J.K. Cement Limited gets an overall score of 3/5.
ISIN | INE823G01014 |
---|---|
Sector | Basic Materials |
Industry | Building Materials |
Exchange | NSE |
CurrencyCode | INR |
PE Ratio | 54.49 |
---|---|
Target Price | 5094.2915 |
Dividend Yield | 0.3% |
Market Cap | 393B |
Beta | 0.58 |
J.K. Cement Limited manufactures and sells cement and its related products under the J.K. Cement brand in India and internationally. The company offers grey cement products, including ordinary Portland, Portland Pozzolana, Portland Slag, and weather shield. It provides white cement-based putty; and gypsum plaster for application on walls and ceilings. In addition, the company offers wall putty; white cement-based wall leveller and a polymer modifying self-curing mortar; grey cement-based tile adhesives and grouts; and a range of polyurethane wood finishes, as well as interior and exterior paints. J.K. Cement Limited was founded in 1975 and is headquartered in Kanpur, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for JKCEMENT.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