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KE Holdings (BEKE) Fair Value & Analysis

Real Estate · US · Market cap $17.3B

Price$14.80
Fair Value$6.51
Upside-56.0%
Quality95/100
Evidence: High Range $4.22 – $8.78

Analysis

KE Holdings (BEKE) currently trades at $14.80, while our model-based Fair Value estimate is $6.51 — implying the stock looks roughly 56.0% overvalued today. We read business quality at 95/100 (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

KE Holdings Inc., through its subsidiaries, engages in operating an integrated online and offline platform for housing transactions and services in the People's Republic of China. The company operates through five segments: Existing Home Transaction Services, New Home Transaction Services, Home Renovation and Furnishing, Home rental services, and Emerging and Other Services. It operates Beike, an integrated online and offline platform for housing transactions and services; Lianjia, a real estate brokerage brand; Agent Cooperation Network, an operating system that fosters reciprocity and bonding among various service providers. The company also owns the Deyou brand for connected brokerage stores; and other brands. In addition, it offers rental property management and operation services; and contract, secure payment, escrow, and other services. KE Holdings Inc. was founded in 2001 and is headquartered in Beijing, the People's Republic of 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.