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Villa Kunalai Public Company (KUN) Fair Value & Analysis

Real Estate · TH · Market cap 459M THB

Price0.6000 THB
Fair Value0.0700 THB
Upside-88.3%
Quality95/100
Evidence: High Range 0.0600 THB – 0.0900 THB

Fair value as of: Jun 26, 2026

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Analysis

Villa Kunalai Public Company (KUN) currently trades at 0.6000 THB, while our model-based Fair Value estimate is 0.0700 THB — implying the stock looks roughly 88.3% 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: high).

About the company

Villa Kunalai Public Company Limited engages in the property development business in Thailand. Villa Kunalai Public Company Limited was founded in 2007 and is headquartered in Bang Bua Thong, Thailand.

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Frequently asked questions

Is Villa Kunalai Public Company (KUN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 0.0700 THB versus a price of 0.6000 THB — about −88% (overvalued). Model-based estimate, not financial advice.
What is the fair value of KUN?
Our 21-model fair value for Villa Kunalai Public Company is 0.0700 THB (as of Jun 26, 2026), built from audited fundamentals. The current price is 0.6000 THB.
What is the quality score of KUN?
Villa Kunalai Public Company 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.