Bull Will Co (6259) Fair Value & Analysis
Technology · TW · Market cap 772M TWD
Fair value as of: Jun 24, 2026
Analysis
Bull Will Co (6259) currently trades at 36.15 TWD, while our model-based Fair Value estimate is 13.18 TWD — implying the stock looks roughly 63.5% overvalued today. We read business quality at 95/100 (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: high).
About the company
Bull Will Co., Ltd. processing, import, export and trading of electronic materials and parts, and sale of televisions in Taiwan. The company's products include switching power transformers, switching power transformer-LED drivers, and LLC resonant power transformers; LEDs; power inductors; EMI/EMC solution parts, including lead wire ferrite beads, AC line filters, SMD chip inductors, beads, and common mode chokes. It also offers power hybrid device; high current inductor flat type; high current bead inductor; power inductor, such as SMD, DIP, and SMD moldings; and DIP toroid, DIP-DR, power hybrid device (PHD), and DIP assembly types. In addition, the company provides customized and high-reliability magnetic components that include ferrite core, alloy powder core, amorphous powder cores, LEDs, touch switches, connectors, and MOSFETs. It serves a range of markets comprising power supplies, LCD monitors, smartphones, notebooks, servers, air conditioning products, automotive, and solar …
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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.