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Keppel REIT (KREVF) Fair Value & Analysis

Real Estate · US · Market cap $3.1B

Price$0.6260
Fair Value$0.2800
Upside-55.3%
Quality88/100
Evidence: Medium Range $0.2100 – $0.3700

Analysis

Keppel REIT (KREVF) currently trades at $0.6260, while our model-based Fair Value estimate is $0.2800 — implying the stock looks roughly 55.3% overvalued today. We read business quality at 88/100 (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

Keppel REIT is one of Asia's leading real estate investment trusts with a portfolio of prime commercial assets in Asia Pacific's key business districts. Keppel REIT's objective is to generate stable income and sustainable long-term total return for its Unitholders by owning and investing in a portfolio of quality income-producing commercial real estate and real estate-related assets in Asia Pacific. Keppel REIT has a portfolio value of over 11 billion dollars, comprising properties in Singapore; the key Australian cities of Sydney, Melbourne and Perth; Seoul, South Korea; as well as Tokyo, Japan. Keppel REIT is managed by Keppel REIT Management Limited and sponsored by Keppel, a global asset manager and operator with strong expertise in sustainability-related solutions spanning the areas of infrastructure, real estate and connectivity. Keppel REIT was established on November 28, 2005 and incorporated in Singapore.

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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.