Bliss GVS Pharma Limited (BLISSGVS) Fair Value & Analysis
Healthcare · IN · Market cap ₹52.1B
Fair value as of: Jun 29, 2026
Analysis
Bliss GVS Pharma Limited (BLISSGVS) currently trades at ₹491.95, while our model-based Fair Value estimate is ₹210.53 — implying the stock looks roughly 57.2% overvalued today. We read business quality at 93/100 (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
Bliss GVS Pharma Limited engages in the development, manufacturing and marketing of pharmaceutical formulations in India and internationally. It offers pharma products, including capsules, creams/gels/ointments, dry powder for injections and oral suspensions, effervescent tablets, eye/ear drops, injections, liquid preparations, lotion, lozenges, nasal solutions, oral solids, parenterals, pessaries, sachets, soft gelatin capsules, suppositories, suspensions, syrups, tablets, topical preparations, and transdermal patches. The company also provides other healthcare products, such as balms, nasal inhalers, over-the-counter products, petroleum jellies, roll-ons, shampoo, soaps, sprays, and vaginal washes. In addition, it offers therapeutic products consisting of analgesics, antacids, anxiolytics, and haematinics; anti-bacterials, antibiotics, anti-diabetics, anti-diarrheals, anti-emetics, antifungals, anti-haemorrhoidals, anti-helmintics, anti-infectives, anti-inflammatories, anti-malari…
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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.