KLCC Property Holdings (5235SS) Fair Value & Analysis
Real Estate · MY · Market cap 16.1B MYR
Analysis
KLCC Property Holdings (5235SS) currently trades at 9.02 MYR, while our model-based Fair Value estimate is 6.91 MYR — implying the stock looks roughly 23.4% 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
KLCC Property Holdings Berhad (KLCCP) and KLCC Real Estate Investment Trust (KLCC REIT), collectively known as KLCCP Stapled Group is Malaysia's largest self-managed stapled security that invests, develops, owns, and manages a stable of iconic and quality assets. KLCCP Stapled Group became the first ever Shariah compliant stapled structure in Malaysia upon the listing of KLCC Stapled Securities (KLCCSS) on 9 May 2013 and trades under the REIT sector of the index as a single price quotation. KLCCP Stapled Group's core business is in property investment and development, and provision of management services. The Group owns iconic prime assets, namely the PETRONAS Twin Towers, Menara ExxonMobil, and Menara 3 PETRONAS under KLCC REIT and Suria KLCC, the premier shopping mall, Mandarin Oriental, Kuala Lumpur hotel and a vacant land (Lot D1) under KLCCP. KLCCP also has a 33% stake in Menara Maxis. KLCCP Stapled Group redefines excellence in real estate. With decades of experience building …
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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.