Rossmax International Ltd (4121) Fair Value & Analysis
Healthcare · TW · Market cap 1.1B TWD
Fair value as of: Jun 25, 2026
Analysis
Rossmax International Ltd (4121) currently trades at 13.25 TWD, while our model-based Fair Value estimate is 34.75 TWD — implying the stock looks roughly 162.3% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Rossmax International Ltd. develops and supplies healthcare products and solutions. The company offers body fat monitors and scales that are used to measure body fat, body mass index, lean mass, muscle mass, and water ratio along with body weight; blood pressure monitors; sphygmomanometer, a device that measures blood pressure; stethoscope, an acoustic medical device for auscultation, or listening to the internal sounds of an animal or human body; handheld pulse oximeter monitors to measure the amount of oxygen carried in the body; non-contact telephoto thermometers used to measure human body temperature; and blood glucose monitoring system, a medical device for determining the approximate concentration of glucose in the blood. It also provides nebulizer, a drug delivery device used to administer medication in the form of a mist; suction unit, a machine used to remove mucus and other bodily fluids; aero spacer, a device used to increase the ease of administering aerosolized medicati…
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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.