Deepak Nitrite Limited (DEEPAKNTR) Fair Value & Analysis
Basic Materials · IN · Market cap ₹221B
Fair value as of: Jun 29, 2026
Analysis
Deepak Nitrite Limited (DEEPAKNTR) currently trades at ₹1,622, while our model-based Fair Value estimate is ₹686.18 — implying the stock looks roughly 57.7% overvalued today. We read business quality at 96/100 (high quality), in the Basic Materials 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
Deepak Nitrite Limited manufactures, trades and sells chemical intermediates in India and internationally. It operates through Advanced Intermediates and Phenolics segments. The company offers sodium nitrite, sodium nitrate, nitro toluidines, fuel additives, nitrosyl sulphuric acid, xylidines, oximes, cumidines, speciality agrochemicals, optical brightening agent, DASDA, and benzotrifluoride for colourants, dyes, rubber, paper, agrochemicals, pharmaceuticals, personal care, water treatment, glass, explosives, and textiles industries. It provides cumene, phenol, acetone, isopropyl alcohol, and alpha methyl styrene for various applications including laminate and plywood, automotive, construction, pharmaceuticals, adhesives, sanitisers, rubber, chemicals, paints, etc. In addition, the company offers 2 MePPDA, 2,3-xylidine, 2,4-xylidine, 2,6-xylidine, 2-ethylhexyl nitrate, 3-NOX, 4-NOX; 2B, 4BBT, ABP, ABP X, and BMK deepwhite powders; 2BL, ABP, AS, BA, BHT HC, DSP, MST, SPF Z, SI, UBR, …
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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.