UOL Group (UOLGF) Fair Value & Analysis
Real Estate · US · Market cap $6.8B
Analysis
UOL Group (UOLGF) currently trades at $8.04, while our model-based Fair Value estimate is $8.10 — implying the stock looks roughly 0.7% undervalued today. We read business quality at 80/100 (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
UOL Group Limited, together with its subsidiaries, operates as a property and hospitality group in Singapore, Australia, the United Kingdom, Malaysia. Also, the People's Republic of China, Vietnam, Indonesia, Myanmar, and internationally. It operates through Property Development, Property Investments, Hotel Operations, Investments, Technology Operations, and Management Services segments. The company engages in the residential, commercial, and hospitality businesses. It also develops and manages properties; leases commercial properties, serviced suites, and purpose-built student accommodation; operates owned hotels; provides hotel management services under the Pan Pacific, PARKROYAL, and PARKROYAL COLLECTION brands; and invests in quoted and unquoted financial assets. In addition, the company distributes computers and related products; manages and licenses trademarks; manages and operates serviced suites; engages in the trading, hotelier, and business development businesses; and oper…
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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.