Fine Organic Industries Limited (FINEORG) Fair Value & Analysis
Basic Materials · IN · Market cap ₹161B
Fair value as of: Jun 29, 2026
Analysis
Fine Organic Industries Limited (FINEORG) currently trades at ₹5,236, while our model-based Fair Value estimate is ₹2,313 — implying the stock looks roughly 55.8% overvalued today. We read business quality at 97/100 (high quality), in the Basic Materials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
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, bakery products, starch complexity agents, viscosity modifiers, anti-blooming agents, anti-splattering agents, anti-crystallisers, and nutritional enhancers. It also provides polymer additives, including lubricants, anti-fogging additives, anti-static additives, anti-scratch additives, processing aids, flow modifiers, slip and anti-blocking, additives, dispersants, and mold release agents; personal care ingredients; feed ingredients; and coating and specialty additives. The company's products are used in plastics, foods, rubbers, coatings, cosmetics, feed nutrition, and other specialty applications. Fine Organic Industries Limited was founded in 1970 and is based in Mumbai, India.
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.