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Bhartiya International Ltd (BIL) Fair Value & Analysis

Consumer Cyclical · IN · Market cap ₹10.5B

Price₹805.25
Fair Value₹220.48
Upside-72.6%
Quality97/100
Evidence: High Range ₹165.36 – ₹275.60

Fair value as of: Jun 29, 2026

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Analysis

Bhartiya International Ltd (BIL) currently trades at ₹805.25, while our model-based Fair Value estimate is ₹220.48 — implying the stock looks roughly 72.6% overvalued today. We read business quality at 97/100 (high quality), in the Consumer Cyclical 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

Bhartiya International Ltd., together with its subsidiaries, manufactures and trades in leather and textile products in India. The company offers leather outerwear, bags, accessories, belts, wallets, fur products, and other small leather goods, as well as textile apparel, leather finishing, and design studio services. It also engages in the development of cities, homes, IT and industrial parks, retail spaces, interior solutions, and hotels and convention centers. The company exports its products. Bhartiya International Ltd. was incorporated in 1987 and is based in Gurugram, India.

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Frequently asked questions

Is Bhartiya International Ltd (BIL) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹220.48 versus a price of ₹805.25 — about −73% (overvalued). Model-based estimate, not financial advice.
What is the fair value of BIL?
Our 21-model fair value for Bhartiya International Ltd is ₹220.48 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹805.25.
What is the quality score of BIL?
Bhartiya International Ltd 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.