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SOHO China Limited (SOHOF) Fair Value & Analysis

Real Estate · US · Market cap $328M

Price$0.0500
Fair Value$0.0450
Upside-10.0%
Quality93/100
Evidence: High Range $0.0450 – $0.0600

Fair value as of: Jun 26, 2026

Analysis

SOHO China Limited (SOHOF) currently trades at $0.0500, while our model-based Fair Value estimate is $0.0450 — implying the stock looks roughly 10.0% overvalued today. We read business quality at 93/100 (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: high).

About the company

SOHO China Limited, together with its subsidiaries, engages in real estate development, and property leasing and related management activities in the People's Republic of China. It also operates serviced hotels and plazas. SOHO China Limited was founded in 1995 and is headquartered in Beijing, China.

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Frequently asked questions

Is SOHO China Limited (SOHOF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0450 versus a price of $0.0500 — about −10% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SOHOF?
Our 21-model fair value for SOHO China Limited is $0.0450 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0500.
What is the quality score of SOHOF?
SOHO China Limited has a Quality Score of 93/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.