Brooks Laboratories Limited (BROOKS) Fair Value & Analysis
Healthcare · IN · Market cap ₹2.2B
Fair value as of: Jun 29, 2026
Analysis
Brooks Laboratories Limited (BROOKS) currently trades at ₹73.55, while our model-based Fair Value estimate is ₹35.80 — implying the stock looks roughly 51.3% 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: high).
About the company
Brooks Laboratories Limited provides contract development and manufacturing services for pharmaceutical companies in India and internationally. The company's product portfolio includes liquid injection ampoules and vials, dry powder injection vials, lyophilized injections, eye/ear drops, and nasal drops; B-Lactam and cephalosporin tablets, dry powder syrups, and injections; general, liquid, and dry powder injections; formulations for antibiotics, pain management, and controlled drugs; and oncology products and hormonal injections, etc. It also provides regulatory compliance, custom branding and packaging, scalable production, and end-to-end support services. The company serves government health programs and public sector institutions, hospitals and medical colleges, defense and railways, corporate healthcare, and NGOs. It exports its products to Afghanistan, Yemen, Kosovo, Bolivia, Guatemala, Turkmenistan Nigeria, Lebanon, Mauritius, Sudan, Madagascar, DR Congo, Mozambique, LATAM, a…
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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.