Daicel Corporation (DACHF) Fair Value & Analysis
Basic Materials · US · Market cap $2.7B
Analysis
Daicel Corporation (DACHF) currently trades at $8.00, while our model-based Fair Value estimate is $6.26 — implying the stock looks roughly 21.8% 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
Daicel Corporation engages in the materials, medical/healthcare, smart, safety, and engineering plastics businesses in Japan and internationally. The company offers medical/healthcare products, including BELLOCEA S7, a spherical cellulose acetate particle; FLAVOCELL S-Equol; Urolithin A; polyglycerols; konjac ceramide; excipients for foods; chiral columns and reagents; and Actranza lab, as well as separation and analytical services. It also provides performance films, solvents for electronic materials, cycloaliphatic epoxies, polymers for photoresists, optical lenses, and caprolactone derivatives; functional films and materials used in smartphones, PCs, TVs, and in-vehicle displays, polymers and solvents; and lenses used in VR, smartphones and various sensors. In addition, the company offers airbags inflators, pyro-fuses, and gas generators for seat belt pretensioners; acetic acid, acetic acid derivatives, acetate tow, ketene / diketene derivatives, cellulose acetate for LCD optical…
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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.