Glenmark Pharmaceuticals Limited (GLENMARK) Fair Value & Analysis
Healthcare · IN · Market cap ₹611B
Analysis
Glenmark Pharmaceuticals Limited (GLENMARK) currently trades at ₹2,179, while our model-based Fair Value estimate is ₹1,676 — implying the stock looks roughly 23.1% overvalued today. We read business quality at 97/100 (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
Glenmark Pharmaceuticals Limited, together with its subsidiaries, develops, manufactures, and sells generics, specialty medicines, and over the counter (OTC) pharmaceutical products in India, North America, Europe, and internationally. The company provides branded, OTC, and generic formulations in the therapeutic areas of dermatology, respiratory, oncology, immunology, pain management, hypertension, central nervous system, cardiology, diabetes, contraceptives, gynecology, gastroenterology, and anti-infective in the dosage forms of complex injectables and biologics, oral solids, liquids, topical products, and respiratory-metered dose inhaler, dry powder inhaler, and nasal sprays. Its product pipeline includes ISB 2001, a CD38 x BCMA x CD3 TREAT trispecific T cell engager, which is in Phase 1 clinical trial for indication of relapsed/refractory multiple myeloma; ISB 2301, a NK cell engager that is in preclinical trial for solid tumors; and GRC 65327, a Cbl-b inhibitor small molecule f…
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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.