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Cheviot Company (CHEVIOT) Fair Value & Analysis

Consumer Cyclical · IN · Market cap ₹6.5B

Price₹1,120
Fair Value₹1,270
Upside+13.4%
Quality97/100
Evidence: High Range ₹1,005 – ₹1,839

Fair value as of: Jun 29, 2026

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Analysis

Cheviot Company (CHEVIOT) currently trades at ₹1,120, while our model-based Fair Value estimate is ₹1,270 — implying the stock looks roughly 13.4% undervalued today. We read business quality at 97/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.

About the company

Cheviot Company Limited manufactures and sells jute goods in India and internationally. It offers jute yarn, fabric, and sack products; sacking bags, hessian fabrics, industrial yarns, shopping bags, geotextiles, food-grade bags, and technical textiles; and packed and bulk tea products. The company was formerly known as Budge Budge Amalgamated Mills Limited. The company was incorporated in 1897 and is headquartered in Kolkata, India. Cheviot Company Limited is a subsidiary of Harsh Investments Private Limited.

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Frequently asked questions

Is Cheviot Company (CHEVIOT) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹1,270 versus a price of ₹1,120 — about +13% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CHEVIOT?
Our 21-model fair value for Cheviot Company is ₹1,270 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹1,120.
What is the quality score of CHEVIOT?
Cheviot Company 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.