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Central China Real Estate Limited (CNLLF) Fair Value & Analysis

Real Estate · US · Market cap $34.6M

Price$0.0114
Fair Value$0.0115
Upside+0.8%
Quality95/100
Evidence: Medium Range $0.0111 – $0.0119

Fair value as of: Jun 26, 2026

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Analysis

Central China Real Estate Limited (CNLLF) currently trades at $0.0114, while our model-based Fair Value estimate is $0.0115 — implying the stock looks roughly 0.8% 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: medium) — always confirm before acting.

About the company

Central China Real Estate Limited, an investment holding company, engages in property development business primarily in the People's Republic of China. The company develops residential and commercial properties; property leasing; and hotel operations. It also provides project management services. Central China Real Estate Limited was founded in 1992 and is headquartered in Zhengzhou, the People's Republic of China.

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Frequently asked questions

Is Central China Real Estate Limited (CNLLF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0115 versus a price of $0.0114 — about +1% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CNLLF?
Our 21-model fair value for Central China Real Estate Limited is $0.0115 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0114.
What is the quality score of CNLLF?
Central China Real Estate Limited has a Quality Score of 95/100, 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.