CapitaLand India Trust (CLINT or the Trust) (ACNDF) Fair Value & Analysis
Real Estate · US · Market cap $1.2B
Fair value as of: Jun 25, 2026
Analysis
CapitaLand India Trust (CLINT or the Trust) (ACNDF) currently trades at $0.8300, while our model-based Fair Value estimate is $1.07 — implying the stock looks roughly 28.9% undervalued today. We read business quality at 88/100 (high quality), in the Real Estate 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: medium) — always confirm before acting.
About the company
CapitaLand India Trust (CLINT or the Trust) is Singapore's first listed property trust, which owns eight world-class IT business parks, three industrial facilities, one logistics park and three data centre developments in India, valued at S$3.8 billion as at 31 December 2025. With a total completed floor area of 21.7 million square feet spread across Bangalore, Chennai, Hyderabad, Pune and Mumbai, CLINT is focused on capitalizing on the growing IT industry, industrial and logistics asset class, and new economy asset classes, such as data centres. CLINT is structured as a business trust, offering stable income distributions similar to a real estate investment trust. CLINT focuses on enhancing shareholder value by actively managing existing properties, developing vacant land in its portfolio and acquiring new properties. CLINT's properties provide modern and high-quality business spaces to its tenants. This helps CLINT attract and retain prominent tenants that commit to long leases, t…
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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.