Good Will Instrument Co (2423) Fair Value & Analysis
Technology · TW · Market cap 10.9B TWD
Fair value as of: Jun 24, 2026
Analysis
Good Will Instrument Co (2423) currently trades at 78.20 TWD, while our model-based Fair Value estimate is 49.77 TWD — implying the stock looks roughly 36.4% 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
Good Will Instrument Co., Ltd. manufactures and markets electrical test and measurement instruments for educational and industrial manufacturing markets in Taiwan. The company provides handheld oscilloscopes, digital storage oscilloscopes, and oscilloscope training kits; spectrum analyzers, RF training systems, and EMI solution packages; and signal generators comprising arbitrary function, RF signal, DDS function, and analog function generators, as well as other signal sources. It also provides DC and AC power supplies, and DC and AC/DC electronic loads; bench-top and hand-held digital multi-meters, and digital clamp meters; LCR meters; safety, leakage current, and AC ground bond testers, as well as multiplex scanner boxes; data acquisition systems; and other meters comprising DC milli-Ohm meters, AC power meters, digital IC testers, precision current shunt and automatic distortion meter, AC millvolt meters, precision current shunt meters, AC millvolt meters, frequency counters, and…
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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.