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Longfor Group (LGFRY) Fair Value & Analysis

Real Estate · US · Market cap $6.1B

Price$7.94
Fair Value$15.45
Upside+94.6%
Quality80/100
Evidence: Medium Range $8.03 – $15.45

Analysis

Longfor Group (LGFRY) currently trades at $7.94, while our model-based Fair Value estimate is $15.45 — implying the stock looks roughly 94.6% 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

Longfor Group Holdings Limited, an investment holding company, engages in the property development, property operation, asset management, property management, and smart construction businesses in the People's Republic of China. The company operates through three segments: Property Development, Investment Property Operation, and Property Service. The Property Development segment develops and sells office and commercial premises, and residential properties. The Investment Property Operation segment leases investment properties, including shopping malls and rental housing. The Property Service segment provides property management and related services. It also owns hotel properties. The company was formerly known as Longfor Properties Co. Ltd. and changed its name to Longfor Group Holdings Limited in June 2018. Longfor Group Holdings Limited was founded in 1993 and is headquartered in Beijing, China.

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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.