Chlitina Holding (4137) Fair Value & Analysis
Consumer Defensive · TW · Market cap 9.0B TWD
Fair value as of: Jun 24, 2026
Analysis
Chlitina Holding (4137) currently trades at 109.50 TWD, while our model-based Fair Value estimate is 149.69 TWD — implying the stock looks roughly 36.7% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Chlitina Holding Limited, an investment holding company, engages in the research, development, manufacture, and sale of beauty and skin care products in Taiwan and internationally. The company offers skin care products for basic maintenance, serum, acne, dehydration, dull spots, wrinkles, and repairs; and makeup remover cleansing, moisturizer, lotion, cleanser, and essential oils products under the Chlitina brand. It also provides enterprise management consulting services; medical cosmetology services; and cosmetology training services, as well as operates as a dealer of health food and daily necessities products, skincare and supplementary health care products, and general practice and foods. In addition, the company engages in the cosmetic retail and manicure; investing and researching; investing and trading of skincare product; and importing trade goods business. It sells its products online, as well as operates franchised channels. Chlitina Holding Limited was founded in 1989 an…
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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.