Tokyo Ohka Kogyo Co (TOKCF) Fair Value & Analysis
Technology · US · Market cap $8.6B
Fair value as of: Jun 24, 2026
Analysis
Tokyo Ohka Kogyo Co (TOKCF) currently trades at $71.73, while our model-based Fair Value estimate is $34.49 — implying the stock looks roughly 51.9% overvalued today. We read business quality at 89/100 (high quality), in the Technology 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: medium).
About the company
Tokyo Ohka Kogyo Co., Ltd. manufactures and sells chemical products and process equipment in Japan and internationally. The company offers g/i-Line, KrF excimer laser, ArF excimer laser, and EUV photoresists; wet etching and deep dry etching resist; developer and rinse, and stripping solution; thinner; adhesion enhancing, DSA, reflective multilayer, and file formation materials. It provides semiconductor packaging manufacturing products, including lift-off, bump formation, redistribution layer resist, protective coating materials, and adhesives; CMOS sensors and driving support system; and transparent materials and photosensitive permanent films. In addition, the company offers Sievewill, a life science research tool that traps cells and allows solutions to pass through; photo patternable permanent materials for structure fabrication/photo patternable adhesives materials; optical materials, such as NIL and hydrophilic coating materials; and high functional materials comprising porou…
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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.