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KINGZA International CO.,Ltd. (2751) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 1.0B TWD

Price51.60 TWD
Fair Value90.94 TWD
Upside+76.2%
Quality88/100
Evidence: Medium Range 68.21 TWD – 113.68 TWD

Fair value as of: Jun 24, 2026

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Analysis

KINGZA International CO.,Ltd. (2751) currently trades at 51.60 TWD, while our model-based Fair Value estimate is 90.94 TWD — implying the stock looks roughly 76.2% undervalued today. We read business quality at 88/100 (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: medium) — always confirm before acting.

About the company

KINGZA International CO.,Ltd. engages in the catering business in Taiwan and internationally. The company is involved in franchising of chain restaurants; and sales of related products. KINGZA International CO.,Ltd. was founded in 2015 and is headquartered in Taipei, Taiwan.

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Frequently asked questions

Is KINGZA International CO.,Ltd. (2751) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 90.94 TWD versus a price of 51.60 TWD — about +76% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 2751?
Our 21-model fair value for KINGZA International CO.,Ltd. is 90.94 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 51.60 TWD.
What is the quality score of 2751?
KINGZA International CO.,Ltd. has a Quality Score of 88/100, 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.