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Jenkongklai Public Company (JPARK) Fair Value & Analysis

Industrials · TH · Market cap 1.3B THB

Price3.14 THB
Fair Value5.33 THB
Upside+69.7%
Quality91/100
Evidence: High Range 2.80 THB – 8.09 THB

Fair value as of: Jun 24, 2026

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Analysis

Jenkongklai Public Company (JPARK) currently trades at 3.14 THB, while our model-based Fair Value estimate is 5.33 THB — implying the stock looks roughly 69.7% undervalued today. We read business quality at 91/100 (high quality), in the Industrials 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

Jenkongklai Public Company Limited provides parking services in Thailand. The company operates through four segments: Parking Service, Parking Management, System Installation and Advisory, and Store Rental Business and Other. It rents parking spaces and buildings, as well as provides parking management services; and design and installation services for parking management systems, including parking fee collection systems and parking management facilities. The company was incorporated in 1998 and is headquartered in Bangkok, Thailand.

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Frequently asked questions

Is Jenkongklai Public Company (JPARK) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 5.33 THB versus a price of 3.14 THB — about +70% (undervalued). Model-based estimate, not financial advice.
What is the fair value of JPARK?
Our 21-model fair value for Jenkongklai Public Company is 5.33 THB (as of Jun 24, 2026), built from audited fundamentals. The current price is 3.14 THB.
What is the quality score of JPARK?
Jenkongklai Public Company has a Quality Score of 91/100, 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.