Sino-Ocean Group (SIOLF) Fair Value & Analysis
Real Estate · US · Market cap $139M
Fair value as of: Jun 26, 2026
Analysis
Sino-Ocean Group (SIOLF) currently trades at $0.0110, while our model-based Fair Value estimate is $0.0111 — implying the stock looks roughly 1.1% undervalued today. We read business quality at 94/100 (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
Sino-Ocean Group Holding Limited, an investment holding company, engages in property investment and development activities in the People's Republic of China. It operates through Property Development, Property Investment, Property Management, and All Other segments. The company engages in residential development under the Epoch, Harmony, and Landscape brands; investment property development and operation, including commercial complexes, office buildings, shopping centers, industrial parks, community commercial areas, and other business spaces; asset-light agent construction for governments and central state-owned enterprises; logistics real estate services, as well as warehousing solutions, including cold chain storage; and real estate fund. It also provides property management service for residential buildings, shopping malls, office spaces, hotels, hospitals, government buildings, and other public service facilities; whole-industrial chain construction; senior living; internet data…
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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.