Ya Horng Electronic Co (6201) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 4.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Ya Horng Electronic Co (6201) currently trades at 48.65 TWD, while our model-based Fair Value estimate is 55.26 TWD — implying the stock looks roughly 13.6% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Ya Horng Electronic Co., Ltd. manufactures and sells audio products, household appliances, electronic component, and medical equipment products in Taiwan, the United States, Japan, France, Canada, China, and internationally. The company offers CD/MP3 players, audio mixers, amplifiers, turntables, and media controllers; appliances, such as blenders, juicers, food processors, desiccants, dehumidifiers, air purifiers, coffee makers, and kitchen masters; and health care products, that includes blood pressure monitors, wearable ECGs, thermometers, pro biometric scale, and oral care products, as well as SONU for the relief of moderate to severe nasal congestion due to allergic and non-allergic rhinitis. It also engages in general investment; production and sale of electricity; provision of sub-products and household products; and electrical appliances business. Ya Horng Electronic Co., Ltd. was founded in 1972 and is headquartered in Tainan City, Taiwan.
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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.