Akums Drugs and Pharmaceuticals Limited (AKUMS) Fair Value & Analysis
Healthcare · IN · Market cap ₹93.0B
Fair value as of: Jun 29, 2026
Analysis
Akums Drugs and Pharmaceuticals Limited (AKUMS) currently trades at ₹609.35, while our model-based Fair Value estimate is ₹333.36 — implying the stock looks roughly 45.3% overvalued today. We read business quality at 96/100 (high quality), in the Healthcare 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
Akums Drugs and Pharmaceuticals Limited manufactures and sells pharmaceutical products and active pharmaceutical ingredients India and internationally. The company provides drugs, ayurvedic, nutraceuticals, food and dietary supplements, derma and cosmetics, healthcare and hospital products, over-the-counter (OTC) products, active pharmaceutical ingredients, excipients, and compounds. It also offers branded formulations on various dosage forms, including tablets, hard and soft gelatin capsules, liquid orals, sachets, vials, ampoules, form-fill-seal products, topical preparations, eye drops, dry powder injections, and gummies for therapeutic areas, such as antiinfectives, pain management, gastroenterology, orthopaedics, cardio-diabetic care, critical care, respiratory, and gynaecology. In addition, the company operates as pharmaceutical contract development and manufacturing company. Akums Drugs and Pharmaceuticals Limited was incorporated in 2004 and is based in Delhi, 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.