-
1 Comment
Krishana Phoschem Limited is currently in a long term uptrend where the price is trading 38.1% 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 1.7.
Krishana Phoschem Limited's total revenue sank by 4.3% to $444M since the same quarter in the previous year.
Its net income has increased by 5.7% to $63M since the same quarter in the previous year.
Finally, its free cash flow fell by 6411.4% to $-138M since the same quarter in the previous year.
Based on the above factors, Krishana Phoschem Limited gets an overall score of 3/5.
| Sector | Basic Materials |
|---|---|
| Industry | Agricultural Inputs |
| Exchange | NSE |
| CurrencyCode | INR |
| ISIN | INE506W01012 |
| Target Price | None |
|---|---|
| Dividend Yield | 0.0% |
| Market Cap | 51B |
| PE Ratio | 28.16 |
| Beta | 0.03 |
Krishana Phoschem Limited engages in the manufacturing, Distribution, sales, and marketing of fertilizers and chemicals under the Annadata and Bharat brands in India. It provides single super phosphate (SSP), benefited rock phosphate, di-ammonium phosphate (DAP) / nitrogen, phosphorus, and potassium (NPK), sulphuric acid, phosphoric acid, imported nitrogen, phosphorus, and potassium (NPK). It sells its products to retailers, distributors, and traders. The company was incorporated in 2004 and is based in Bhilwara, India. Krishana Phoschem Limited is a subsidiary of Ostwal Phoschem (India) Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KRISHANA.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 2026