AWL Agri Business Limited (AWL) Fair Value & Analysis
Consumer Defensive · IN · Market cap ₹235B
Fair value as of: Jun 29, 2026
Analysis
AWL Agri Business Limited (AWL) currently trades at ₹182.03, while our model-based Fair Value estimate is ₹186.68 — implying the stock looks roughly 2.6% undervalued today. We read business quality at 97/100 (high quality), in the Consumer Defensive sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
AWL Agri Business Limited, a fast-moving consumer goods food company, provides kitchen commodities in India and internationally. It operates through Edible Oils, Food & FMCG, and Industry Essentials segments. The company offers soyabean, palm, sunflower, rice bran, mustard, groundnut, cottonseed, olive, and blended oil; specialty fats, noodles, snacks, bakery and dairy products, ready-to-eat meals, animal feed, and lauric products. It also provides basic oleochemicals, such as stearic acids, soap noodles, palmitic acids, lauric and mystic acid, distilled fatty acid, oleic acids, fatty alcohol, double fractionated stearin, and glycerin; food emulsifiers, polymer additives, agrochemical, lubricants and oilfield additives, and alkoxylates, as well as other specialty oleochemicals for Ink, paints and coating, and home and personal care products; lecithin; and de-oiled cakes that are used as livestock feeds. In addition, the company offers wheat flour, rice, pulses, sugar, besan, poha, r…
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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.