Nippon Shokubai Co (NSHKF) Fair Value & Analysis
Basic Materials · US · Market cap $2.3B
Analysis
Nippon Shokubai Co (NSHKF) currently trades at $15.86, while our model-based Fair Value estimate is $10.66 — implying the stock looks roughly 32.8% overvalued today. We read business quality at 94/100 (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
Nippon Shokubai Co., Ltd. engages in the manufacture and sale of chemical products in Japan and internationally. It operates in two segments: Materials Business and Solutions Business. The Materials Business segment manufactures and sells acrylic acids, acrylates, superabsorbent polymers, ethylene oxides, ethylene glycols, ethanolamine, maleic anhydride, process catalysts, MMA monomers and polymers, and other chemicals. The Solutions Business segment manufactures and sells polymers for concrete admixtures, glycol ether, secondary alcohol ethoxylates, water soluble polymers, intermediates for pharmaceuticals, electronic information materials, iodine compounds, resins for adhesives/paints, ethyleneimine derivatives, processed adhesive products, and automotive catalysts, as well as De-NOx catalysts, dioxins decomposition catalysts, equipment for waste gas treatment, wet air oxidation catalysts, and materials for batteries. It also provides acrylic esters, maleimides, cyclic amides, ini…
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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.