-
1 Comment
Fine Organic Industries Limited is currently in a long term uptrend where the price is trading 18.1% above its 200 day moving average.
From a valuation standpoint, the stock is 99.7% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 6.8.
Fine Organic Industries Limited's total revenue rose by 12.5% to $3B since the same quarter in the previous year.
Its net income has dropped by 19.9% to $287M since the same quarter in the previous year.
Finally, its free cash flow fell by 59.8% to $453M since the same quarter in the previous year.
Based on the above factors, Fine Organic Industries Limited gets an overall score of 3/5.
CurrencyCode | INR |
---|---|
Exchange | NSE |
ISIN | INE686Y01026 |
Sector | Basic Materials |
Industry | Specialty Chemicals |
PE Ratio | 33.78 |
---|---|
Target Price | 4517.7 |
Dividend Yield | 0.2% |
Market Cap | 139B |
Beta | -0.12 |
Fine Organic Industries Limited engages in manufacture, processing, supply, distribution, dealing, import, and export of oleochemical-based additives in India and internationally. The company offers food additives, such as emulsifiers, antifungal agents, bread improvers, beverage clouding agents, and other specialized blends; polymer additives for various types of polymers, rubbers and elastomers, etc.; cosmetic and pharmaceutical additives; feed nutrition additives; coating additives; and additives for other specialty application in various industries. It products are used in foods, plastics, cosmetics, coatings, and other specialty applications. Fine Organic Industries Limited was founded in 1970 and is headquartered in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for FINEORG.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