Aarti Pharmalabs Limited (AARTIPHARM) Fair Value & Analysis
Healthcare · IN · Market cap ₹63.4B
Fair value as of: Jun 29, 2026
Analysis
Aarti Pharmalabs Limited (AARTIPHARM) currently trades at ₹690.70, while our model-based Fair Value estimate is ₹320.13 — implying the stock looks roughly 53.7% 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: medium).
About the company
Aarti Pharmalabs Limited, together with its subsidiaries, manufactures and sells active pharmaceutical ingredients, pharmaceutical intermediates, and xanthine derivatives in India and internationally. The company offers active pharmaceutical ingredients for various therapeutic areas, such as cardiovascular, anti-asthmatic, anti-cancer, anti-coagulant, anti-diabetic, arthritis, central nervous system agent, skincare, overactive bladder, calcimimetic, decongestant, anti-thalassaemic, analgesic, and ophthalmologic medications. It also provides contract development and manufacturing services for drug substance projects. In addition, the company offers intermediates; xanthine derivatives, including caffeine, theophylline anhydrous, aminophylline, etophylline, and theophylline; and acid and allied products, including sulphuric acid, sulphur trioxide, oil, dimethyl sulphate, diethyl sulphate, and sodium vinyl sulfonate. The company was formerly known as Aarti Organics Limited. Aarti Pharma…
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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.