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DCM Nouvelle Limited (DCMNVL) Fair Value & Analysis

Consumer Cyclical · IN · Market cap ₹2.8B

Price₹150.30
Fair Value₹42.52
Upside-71.7%
Quality96/100
Evidence: High Range ₹25.54 – ₹53.15

Fair value as of: Jun 29, 2026

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Analysis

DCM Nouvelle Limited (DCMNVL) currently trades at ₹150.30, while our model-based Fair Value estimate is ₹42.52 — implying the stock looks roughly 71.7% overvalued today. We read business quality at 96/100 (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

DCM Nouvelle Limited manufactures, exports, and sells cotton yarn in India, Bangladesh, China, Egypt, Guatemala, and internationally. It operates in two segments, Textiles and Chemicals. The company offers better cotton initiative, organic, and slub yarns under the PRIMERO, DINERO, and FUTURO brand names. It also offers specialty chemicals, such as benzylamine and dibenzylamine for use in various processes in agrochemicals, pharmaceuticals, rubber chemicals, oils, and polymers industries. DCM Nouvelle Limited was founded in 1991 and is based in New Delhi, India.

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Frequently asked questions

Is DCM Nouvelle Limited (DCMNVL) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹42.52 versus a price of ₹150.30 — about −72% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DCMNVL?
Our 21-model fair value for DCM Nouvelle Limited is ₹42.52 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹150.30.
What is the quality score of DCMNVL?
DCM Nouvelle Limited has a Quality Score of 96/100, 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.