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Kanpai Co (1269) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 1.5B TWD

Price69.50 TWD
Fair Value86.86 TWD
Upside+25.0%
Quality95/100
Evidence: High Range 61.85 TWD – 117.85 TWD

Fair value as of: Jun 24, 2026

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Analysis

Kanpai Co (1269) currently trades at 69.50 TWD, while our model-based Fair Value estimate is 86.86 TWD — implying the stock looks roughly 25.0% 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

Kanpai Co., Ltd engages in catering related businesses in China and Taiwan. The company involved in chain restaurants, meat imports, e-commerce retail, and pet food businesses. It serves directly to consumers through street stores, department stores, and shopping malls. Kanpai Co., Ltd was founded in 1999 and is based in Taipei City, Taiwan.

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Frequently asked questions

Is Kanpai Co (1269) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 86.86 TWD versus a price of 69.50 TWD — about +25% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 1269?
Our 21-model fair value for Kanpai Co is 86.86 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 69.50 TWD.
What is the quality score of 1269?
Kanpai 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.