TaiDoc Technology Corporation (4736) Fair Value & Analysis
Healthcare · TW · Market cap 11.7B TWD
Fair value as of: Jun 24, 2026
Analysis
TaiDoc Technology Corporation (4736) currently trades at 123.00 TWD, while our model-based Fair Value estimate is 192.71 TWD — implying the stock looks roughly 56.7% undervalued today. We read business quality at 91/100 (high quality), in the Healthcare 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: high) — always confirm before acting.
About the company
TaiDoc Technology Corporation manufactures and markets medical devices in Taiwan and internationally. The company offers In vitro diagnostics products, including multiple parameter monitoring systems, point of care testing devices, and lancet and lancing devices; vet health care products comprise blood glucose and calcium meters, and blood ketone meters; and medical devices, such as nebulizers, thermometers, blood pressure monitors, vital sign monitors, and pulse oximeters. It also provides telehealth remote monitoring devices and smartphone applications; and Covid-19 antigen rapid test kits. In addition, the company offers services for regulatory professionals, as well as in the areas of clinical suggestions, engineering resources, and manufacturing systems. Further, the company provides various applications, including MyLink, ProCheck, Healthy Check, Healthy Check PRO, PCLink, and USB adapter driver. TaiDoc Technology Corporation was founded in 1998 and is headquartered in New Tai…
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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.