Furuya Metal Co (FRUYF) Fair Value & Analysis
Technology · US · Market cap $510M
Analysis
Furuya Metal Co (FRUYF) currently trades at $20.72, while our model-based Fair Value estimate is $32.45 — implying the stock looks roughly 56.6% undervalued today. We read business quality at 91/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Furuya Metal Co., Ltd. manufactures and sells industrial-use precious metal products and temperature sensors in Japan, Asia, Europe, and North America. The company operates through five segments: Electronics, Thin Film, Thermal, Fine Chemicals/Recycling, and Supply Chain Support. The company offers various metals processing products, such as iridium crucibles and seed holders, reflectors, and after heaters; platinum (Pt) and Pt alloy glass melting equipment materials for melting optical and LCD glass; Pt crucibles, evaporation dishes, and boats; bead dishes, Pt cells, and tongs with Pt; mesh, sheets, foils, pipes, and wire products; iridium tools for friction stir welding; and thermocouples. It also provides precious metal sputtering targets for magnetic recording media, flat panel display, semiconductor, and electronic component applications; evaporation materials; and made-to-order sputtering services for magnetic recording, touch panels, non-volatile semiconductor memory, electri…
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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.