Ipca Laboratories Limited (IPCALAB) Fair Value & Analysis
Healthcare · IN · Market cap ₹417B
Analysis
Ipca Laboratories Limited (IPCALAB) currently trades at ₹1,625, while our model-based Fair Value estimate is ₹1,131 — implying the stock looks roughly 30.4% overvalued today. We read business quality at 82/100 (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: medium).
About the company
Ipca Laboratories Limited, an integrated pharmaceutical company, manufactures and markets formulations and active pharmaceutical ingredients (APIs) for various therapeutic segments in India, Europe, Africa, the Americas, Asia, the Commonwealth of Independent States, and Australasia. The company offers APIs in anti-hypertensive, anti-malarial, diuretic, DMARD, anti-hypertensive, and anthelmintic therapeutic areas. It also provides generic and branded formulations in various therapeutic segments, including allergy, anti-neoplastic/cancer drugs, anti-arthritic, anti-epileptic, anti-hypertensive, cardiology, diabetes, dermatology, diabetology, emollients/protectives, fever, gastroenterology, helminthics, hepatoprotectives, immunosuppressant, infectious diseases, malaria, neurology, neuropathic pain, and NSAIDs, as well as nutraceuticals, ophthalmology, oral anti diabetes drug, orthopedics, probiotics, psychiatry, respiratory, rheumatology, and urology. The company also exports its produ…
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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.