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Bon Fame Co (8433) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 2.9B TWD

Price52.30 TWD
Fair Value76.23 TWD
Upside+45.8%
Quality95/100
Evidence: High Range 53.22 TWD – 99.24 TWD

Fair value as of: Jun 24, 2026

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Analysis

Bon Fame Co (8433) currently trades at 52.30 TWD, while our model-based Fair Value estimate is 76.23 TWD — implying the stock looks roughly 45.8% 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

Bon Fame Co., Ltd. operates in fashionable hair accessories, combs, jewelry and packaging in Taiwan. It offers hairstyling, beauty tools, bags and purses, fashion accessories, events, novelty, sporting goods, health care and beauty, personal care, and adapter products. The company was founded in 1974 and is based in Taipei City, Taiwan.

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Frequently asked questions

Is Bon Fame Co (8433) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 76.23 TWD versus a price of 52.30 TWD — about +46% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 8433?
Our 21-model fair value for Bon Fame Co is 76.23 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 52.30 TWD.
What is the quality score of 8433?
Bon Fame Co has a Quality Score of 95/100, 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.