Nissan Chemical Corporation (NNCHY) Fair Value & Analysis
Basic Materials · US · Market cap $5.8B
Analysis
Nissan Chemical Corporation (NNCHY) currently trades at $43.66, while our model-based Fair Value estimate is $23.30 — implying the stock looks roughly 46.6% overvalued today. We read business quality at 95/100 (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
Nissan Chemical Corporation engages in the chemicals, performance materials, agricultural chemicals, and pharmaceuticals businesses in Japan and internationally. The company provides high purity and custom chemicals; AdBlue, an urea solution; ammonia, sulfuric, and nitric acid, as well as concrete products; TEPIC, an epoxy compound; Melamine Cyanurate, a salt of melamine and iso cyanuric acid; TEPIC-VL, a liquid epoxy compound; Nissan Reishi, a health food; phenylphosphonic acid; HI-LITE, a chlorinated isocyanulate; FINEOXOCOL, a saturated fatty alcohol and acid; HARDBEADS, a spherical fine particles; STARFINE, a Triazine based adhesion; melamine polyphosphate; and NFG, a highly functional additive. It also offers performance materials comprising display, semiconductor, and inorganic materials; agricultural chemicals, such as herbicides, insecticides, fungicides, etc. for use on agricultural land, as well as in golf courses and parks; and drug substances for antiparasite drugs for a…
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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.