The Bombay Burmah Trading Corporation (BBTC) Fair Value & Analysis
Consumer Defensive · IN · Market cap ₹108B
Fair value as of: Jun 29, 2026
Analysis
The Bombay Burmah Trading Corporation (BBTC) currently trades at ₹1,557, while our model-based Fair Value estimate is ₹3,740 — implying the stock looks roughly 140.3% undervalued today. We read business quality at 82/100 (high quality), in the Consumer Defensive sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
The Bombay Burmah Trading Corporation Limited, engages in the tea and coffee plantations, auto electric components, healthcare, and real estate businesses in India and internationally. It operates through six segments: Plantation- Tea, Health Care, Auto Electric Components, Investments, Horticulture, Food -Bakery & Dairy Products, and Others. The company produces and trades in tea, coffee, timber, cardamom, and pepper; and manufactures and trades in dental products. It also manufactures solenoids, switches, valves, and slip rings for automobile and other industries; and invests in various listed and unlisted securities primarily on a long-term basis. In addition, the company manufactures and trades in analytical, precision balances, and weighing scales; and engages in the property development activities. Further, the company deals with decorative plants and landscaping services; and offers bakery and dairy products. The Bombay Burmah Trading Corporation Limited was incorporated in 1…
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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.