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Luo Lih-Fen Holding (6666) Fair Value & Analysis

Consumer Defensive · TW · Market cap 2.1B TWD

Price43.30 TWD
Fair Value50.84 TWD
Upside+17.4%
Quality93/100
Evidence: High Range 38.13 TWD – 63.55 TWD

Fair value as of: Jun 24, 2026

Analysis

Luo Lih-Fen Holding (6666) currently trades at 43.30 TWD, while our model-based Fair Value estimate is 50.84 TWD — implying the stock looks roughly 17.4% undervalued today. We read business quality at 93/100 (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

Luo Lih-Fen Holding Co., Ltd. engages in the research and development, manufacture, and sale of skin care products in Taiwan and Mainland China. It also provides beauty and skin care consulting, general investment, real estate leasing, and medical cosmetology services, as well as operates beauty salons. The company offers its products under the GLINGLUO, SUNLILY, DRAISE, QIECOME, and EASYBIO brands. The company was founded in 1986 and is based in Zhangzhou, China.

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Frequently asked questions

Is Luo Lih-Fen Holding (6666) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 50.84 TWD versus a price of 43.30 TWD — about +17% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6666?
Our 21-model fair value for Luo Lih-Fen Holding is 50.84 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 43.30 TWD.
What is the quality score of 6666?
Luo Lih-Fen Holding has a Quality Score of 93/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.