CapitaLand Investment Limited (CLILF) Fair Value & Analysis
Real Estate · US · Market cap $9.9B
Analysis
CapitaLand Investment Limited (CLILF) currently trades at $1.83, while our model-based Fair Value estimate is $0.3800 — implying the stock looks roughly 79.2% overvalued today. We read business quality at 89/100 (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
CapitaLand Investment Limited is a leading global real asset manager with a strong Asia foothold. As at 31 December 2025, CLI had 125 billion dollars of funds under management. CLI holds stakes in eight listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in demographics, disruption and digitalization-themed strategies. Its diversified real asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage, data centres and credit. CLI aims to scale its fund management, commercial management and lodging management businesses globally and maintain effective capital management. As the investment management arm of CapitaLand Group, CLI has access to the development capabilities of and pipeline investment opportunities from CapitaLand Group's development arm. CLI is committed to growing in a responsible manner, delivering long-term economic value and contributing to the environmental and…
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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.