Alpha Integrated Real Estate Investment Trust (SBBSF) Fair Value & Analysis
Real Estate · US · Market cap $446M
Fair value as of: Jun 26, 2026
Analysis
Alpha Integrated Real Estate Investment Trust (SBBSF) currently trades at $0.3640, while our model-based Fair Value estimate is $0.4000 — implying the stock looks roughly 9.9% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Alpha Integrated Real Estate Investment Trust is a Singapore-listed real estate investment trust. It is focused on high-quality industrial assets. Listed on the Singapore Exchange Securities Trading Limited since 26 November 2010, AI-REIT invests in high quality income-producing industrial properties. As of 31 December 2025, AI-REIT holds interests in a diversified portfolio of 18 properties with a total gross floor area of approximately 386,227 square meters in Singapore, spanning the high-tech industrial, warehouse and logistics, chemical warehouse and logistics, as well as general industrial sectors. The total assets of the Group amount to more than 1.6 billion US dollars as at 31 December 2025. AI-REIT is also a constituent of the MSCI Singapore Micro Cap Index. AI-REIT is managed by Alpha Integrated REIT Management Pte. Ltd. (Manager), which is wholly owned by the REIT. Alpha Integrated Real Estate Investment Trust was incorporated in 2010 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.