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Bikaji Foods International Limited (BIKAJI) Fair Value & Analysis

Consumer Defensive · IN · Market cap ₹160B

Price₹640.60
Fair Value₹213.56
Upside-66.7%
Quality90/100
Evidence: Medium Range ₹140.14 – ₹335.13

Fair value as of: Jun 29, 2026

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Analysis

Bikaji Foods International Limited (BIKAJI) currently trades at ₹640.60, while our model-based Fair Value estimate is ₹213.56 — implying the stock looks roughly 66.7% overvalued today. We read business quality at 90/100 (high quality), in the Consumer Defensive 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

Bikaji Foods International Limited, together with its subsidiaries, manufactures, purchases, and sells snack food products in India and internationally. It offers bhujia, namkeen, sweets, papad, pellets, chips, and other snacks, as well as frozen foods, gift packs, mathris, and cookies under the Bikaji brand. The company sells its products through supermarkets, hypermarkets, convenience stores, specialty outlets, and online platforms. The company was formerly known as Shivdeep Industries Ltd. Bikaji Foods International Limited was founded in 1986 and is headquartered in Bikaner, India.

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Frequently asked questions

Is Bikaji Foods International Limited (BIKAJI) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹213.56 versus a price of ₹640.60 — about −67% (overvalued). Model-based estimate, not financial advice.
What is the fair value of BIKAJI?
Our 21-model fair value for Bikaji Foods International Limited is ₹213.56 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹640.60.
What is the quality score of BIKAJI?
Bikaji Foods International Limited has a Quality Score of 90/100, 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.