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Jhu Jian Catering Co (7723) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 1.1B TWD

Price23.10 TWD
Fair Value22.34 TWD
Upside-3.3%
Quality95/100
Evidence: Medium Range 16.63 TWD – 28.05 TWD

Fair value as of: Jun 25, 2026

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Analysis

Jhu Jian Catering Co (7723) currently trades at 23.10 TWD, while our model-based Fair Value estimate is 22.34 TWD — implying the stock looks roughly 3.3% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

Jhu Jian Catering Co., Ltd. operates a chain of and franchise catering services in Taiwan and internationally. It also offers food and beverage services. Jhu Jian Catering Co., Ltd. was founded in 2010 and is based in Taichung, Taiwan.

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Frequently asked questions

Is Jhu Jian Catering Co (7723) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 22.34 TWD versus a price of 23.10 TWD — about −3% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 7723?
Our 21-model fair value for Jhu Jian Catering Co is 22.34 TWD (as of Jun 25, 2026), built from audited fundamentals. The current price is 23.10 TWD.
What is the quality score of 7723?
Jhu Jian Catering 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.