Jinmao Property Services Co (JPPSF) Fair Value & Analysis
Real Estate · US · Market cap $337M
Fair value as of: Jun 26, 2026
Analysis
Jinmao Property Services Co (JPPSF) currently trades at $0.3727, while our model-based Fair Value estimate is $0.9300 — implying the stock looks roughly 149.5% undervalued today. We read business quality at 93/100 (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: high) — always confirm before acting.
About the company
Jinmao Property Services Co., Limited, an investment holding company, provides property management services, value-added services, and community value-added services in the People's Republic of China. The company offers property management services for property owners and residents, and property developers; and security, cleaning, greening, and facilities and equipment maintenance. It offers property management services for residential communities, commercial, and office properties comprises office buildings and shopping malls, as well as public properties such as schools, government facilities, and other public spaces. The company also provides information technology development services; city operation services; and equipment operation and maintenance services for technological systems, such as energy heat pumps, fresh air units, and plate heat exchangers. In addition, it offers value-added services, including on-site sales assistance services, consultancy, and other value-added s…
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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.