Tokai Carbon Co (TKCBY) Fair Value & Analysis
Basic Materials · US · Market cap $2.5B
Analysis
Tokai Carbon Co (TKCBY) currently trades at $47.28, while our model-based Fair Value estimate is $40.06 — implying the stock looks roughly 15.3% overvalued today. We read business quality at 87/100 (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: medium).
About the company
Tokai Carbon Co., Ltd. engages in the manufacture and sale of carbon-related products and services in Japan. It offers graphite electrodes for use in electric furnaces, such as direct current, alternating current, and refining furnaces; and carbon black, including SEAST, TOKABLACK, Aqua Black, and Thermax black varieties, which are used to reinforce the rubber in tires, as well as used as a black pigment in various black-colored products. The company provides fine carbon products comprising special graphite products that include isotropic graphite G/HK series, extruded graphite, SiC coated carbon, C/C composite, glassy carbon, solid SiC, carbon brushes, and resin-impregnated graphite products, as well as furnace materials for silicon semiconductor, solar cell manufacturing, and other applications; and industrial furnaces and related products, which comprise silicon carbide heating elements, resistors, recryte SiC structural materials, and industrial furnaces for heat treatment of ce…
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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.