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CPN Retail Growth Leasehold REIT (CPNREIT) (CPNREIT) Fair Value & Analysis

Real Estate · TH · Market cap 46.0B THB

Price13.00 THB
Fair Value12.28 THB
Upside-5.5%
Quality95/100
Evidence: High Range 9.20 THB – 19.46 THB

Analysis

CPN Retail Growth Leasehold REIT (CPNREIT) (CPNREIT) currently trades at 13.00 THB, while our model-based Fair Value estimate is 12.28 THB — implying the stock looks roughly 5.5% 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

CPN Retail Growth Leasehold REIT (CPNREIT) was established on 1 December 2017 from the conversion from CPN Retail Growth Leasehold Property Fund (CPNRF). The trust units of CPNREIT were first traded on the Stock Exchange of Thailand on 14 December 2017. At the end of 3Q25, CPNREIT had been investing in leasehold rights of seven shopping malls, which are Central Rama 2, Central Rama 3, Central Pinklao, Central Chiangmai Airport, Central Pattaya, Central Marina and Central Lampang with total leasable area of 263,214 sq.m., four office buildings namely Pinklao Tower A and Tower B, The Ninth Towers and Unilever House with total leasable area of 112,482 sq.m., and one hotel which is Hilton Pattaya totaling 304 guest rooms. On 31 July 2023, the Extraordinary General Meeting of the Trust Unitholders No. 1/2023 (EGM No. 1/2023) approved the lease renewal of Central Pinklao for a period of 15 years (from 1 January 2025 to 31 December 2039) with the investment value of not exceeding Baht 12,1…

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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.