TCI Co (8436) Fair Value & Analysis
Consumer Defensive · TW · Market cap 13.3B TWD
Fair value as of: Jun 24, 2026
Analysis
TCI Co (8436) currently trades at 117.00 TWD, while our model-based Fair Value estimate is 182.01 TWD — implying the stock looks roughly 55.6% undervalued today. We read business quality at 81/100 (high quality), in the Consumer Defensive 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
TCI Co., Ltd., an original design manufacturer company, engages in the manufacturing, wholesale, and retail of health foods and cosmetics products in Taiwan, Mainland China, the United States, and internationally. The company offers liquid and solid supplements; immunity products; functional probiotics; basic nutrition; detox slimming; body health; sports nutrition supplement products; laundry detergents; hand sanitizers; and functional snacks, which includes, jelly, bars, chocolates, and gummies. It also provides skin care products, such as facial, body sheet, eye, and lip masks; essence; functional sprays; creams; and gels, as well as turnkey services. In addition, the company is involved in the wholesale of chemical production; research and development of biotechnology and genetics; trading health foods for pets; and selling medical machinery. TCI Co., Ltd. was incorporated in 1980 and is headquartered in Taipei, 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.