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Bigbloc Construction Limited (BIGBLOC) Fair Value & Analysis

Industrials · IN · Market cap ₹7.0B

Price₹49.74
Fair Value₹11.62
Upside-76.6%
Quality90/100
Evidence: Medium Range ₹8.72 – ₹14.53

Fair value as of: Jun 29, 2026

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Analysis

Bigbloc Construction Limited (BIGBLOC) currently trades at ₹49.74, while our model-based Fair Value estimate is ₹11.62 — implying the stock looks roughly 76.6% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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

Bigbloc Construction Limited, together with its subsidiaries, engages in the manufacturing, sales, and marketing of aerated autoclave concrete blocks in India. The company offers AAC wall panels, block jointing mortar, tile adhesives and gypsum plaster, and other construction chemicals. It markets its products under the NXTBLOC, NXTPLAST, NXTFIX, NXTFLIX, and ZMARTBUILD brand names. Bigbloc Construction Limited was founded in 2010 and is based in Surat, India.

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Frequently asked questions

Is Bigbloc Construction Limited (BIGBLOC) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹11.62 versus a price of ₹49.74 — about −77% (overvalued). Model-based estimate, not financial advice.
What is the fair value of BIGBLOC?
Our 21-model fair value for Bigbloc Construction Limited is ₹11.62 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹49.74.
What is the quality score of BIGBLOC?
Bigbloc Construction 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.