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Bright Real Estate Group (600708) Fair Value & Analysis

Real Estate · CN · Market cap 6.4B CNY

Price¥2.99
Fair Value¥7.48
Upside+150.2%
Quality94/100
Evidence: Medium Range ¥3.59 – ¥7.48

Analysis

Bright Real Estate Group (600708) currently trades at ¥2.99, while our model-based Fair Value estimate is ¥7.48 — implying the stock looks roughly 150.2% 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: medium) — always confirm before acting.

About the company

Bright Real Estate Group Co.,Limited develops residential and commercial real estate properties in China. It develops and operates commercial blocks, office buildings, and hotels; provides property management, asset operation, and community services; general contracting of housing, municipal public, water conservancy, and hydropower engineering construction works; and professional contracting of decoration projects. The company is also involved in the urban services; production and installation of doors, windows, and curtain walls; procurement of materials; and labor subcontracting, agent construction management, and other services. In addition, it engages in the cold chain logistics business; and imports, trades in, and sells alcoholic beverages. Bright Real Estate Group Co.,Limited was founded in 1993 and is based in Shanghai, 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.