Taiyo Holdings (TAYIF) Fair Value & Analysis
Basic Materials · US · Market cap $3.5B
Analysis
Taiyo Holdings (TAYIF) currently trades at $31.32, while our model-based Fair Value estimate is $26.76 — implying the stock looks roughly 14.6% overvalued today. We read business quality at 97/100 (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
Taiyo Holdings Co., Ltd., together with its subsidiaries, engages in the electronics materials business internationally. The company offers printed circuit boards, such as rigid board materials comprising liquid solder resist, legend ink, plating resist, and etching resist; PKG board materials, including liquid and dry film solder resists; flexible printed circuit board materials comprising liquid and dry film solder resists, and dry film photoimageable coverlay; build-up materials consists of liquid hole-plugging and dry film interlayer insulating material; and LED board materials, as well as functional conductive materials. It also provides anisotropic conductive adhesive, photoimageable coverlay films, photoimageable interlayer insulating materials, stretchable conductive paste, and photo-imageable white dry film solder resist products. In addition, the company manufactures and sells prescription drugs and pharmaceuticals; dental prostheses; dyes, pigments, and other chemical pro…
Open the full interactive analysis →
Similar stocks
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.