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Lian Fa International Dining Business Corp (2756) Fair Value & Analysis

Consumer Defensive · TW · Market cap 1.5B TWD

Price60.00 TWD
Fair Value79.14 TWD
Upside+31.9%
Quality95/100
Evidence: High Range 55.75 TWD – 98.93 TWD

Fair value as of: Jun 24, 2026

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Analysis

Lian Fa International Dining Business Corp (2756) currently trades at 60.00 TWD, while our model-based Fair Value estimate is 79.14 TWD — implying the stock looks roughly 31.9% 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

Lian Fa International Dining Business Corp. operates various restaurants. It operates tea-beverage chain franchises under the Sharetea brand; Malaysian food restaurants under the Mamak brand; and AI-fashion handcrafted tea beverage under the UG Le Ji brand. The company was founded in 2004 and is based in New Taipei City, Taiwan.

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Frequently asked questions

Is Lian Fa International Dining Business Corp (2756) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 79.14 TWD versus a price of 60.00 TWD — about +32% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 2756?
Our 21-model fair value for Lian Fa International Dining Business Corp is 79.14 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 60.00 TWD.
What is the quality score of 2756?
Lian Fa International Dining Business Corp 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.