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Kee Tai Properties Co (2538) Fair Value & Analysis

Real Estate · TW · Market cap 4.5B TWD

Price9.84 TWD
Fair Value4.36 TWD
Upside-55.7%
Quality95/100
Evidence: Medium Range 3.27 TWD – 5.45 TWD

Fair value as of: Jun 26, 2026

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Analysis

Kee Tai Properties Co (2538) currently trades at 9.84 TWD, while our model-based Fair Value estimate is 4.36 TWD — implying the stock looks roughly 55.7% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Kee Tai Properties Co., Ltd. engages in construction activities in Taiwan. The company constructs, leases, and sells residential and commercial buildings. It is also involved in the clearance of construction waste. Kee Tai Properties Co., Ltd. was incorporated in 1979 and is headquartered in Taipei City, Taiwan.

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Frequently asked questions

Is Kee Tai Properties Co (2538) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 4.36 TWD versus a price of 9.84 TWD — about −56% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 2538?
Our 21-model fair value for Kee Tai Properties Co is 4.36 TWD (as of Jun 26, 2026), built from audited fundamentals. The current price is 9.84 TWD.
What is the quality score of 2538?
Kee Tai Properties 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.