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Albert David Limited (ALBERTDAVD) Fair Value & Analysis

Healthcare · IN · Market cap ₹4.0B

Price₹708.50
Fair Value₹139.46
Upside-80.3%
Quality97/100
Evidence: Low Range ₹105.93 – ₹172.98

Fair value as of: Jun 29, 2026

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Analysis

Albert David Limited (ALBERTDAVD) currently trades at ₹708.50, while our model-based Fair Value estimate is ₹139.46 — implying the stock looks roughly 80.3% 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: low).

About the company

Albert David Limited manufactures and trades in pharmaceutical formulations, infusion solutions, herbal dosage forms, and bulk drugs in India and internationally. It offers formulations for parenterals, oral/enterals, topical agents, aerosol, gynecology therapy, orthopedic, and vision care products. Albert David Limited was incorporated in 1938 and is headquartered in Kolkata, India.

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Frequently asked questions

Is Albert David Limited (ALBERTDAVD) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹139.46 versus a price of ₹708.50 — about −80% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ALBERTDAVD?
Our 21-model fair value for Albert David Limited is ₹139.46 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹708.50.
What is the quality score of ALBERTDAVD?
Albert David Limited has a Quality Score of 97/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.