Nanjing Gaoke Company (600064) Fair Value & Analysis
Real Estate · CN · Market cap 13.0B CNY
Analysis
Nanjing Gaoke Company (600064) currently trades at ¥7.49, while our model-based Fair Value estimate is ¥11.18 — implying the stock looks roughly 49.3% undervalued today. We read business quality at 91/100 (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
Nanjing Gaoke Company Limited, together with its subsidiaries, engages in the development of real estate properties in China. The company designs and develops mid-to-high-end commercial housing, municipal, and landscape projects; provides sewage treatment and tap water supply services; and grants loans to technology-based small and medium-sized enterprises, as well as provides financing guarantees. It also involves in the industrial investment, venture capital, securities investment, investment management and consulting, and other investment activities; and provision of financing services for small and medium-sized technology companies, and start-up businesses. In addition, the company engages in the production and sale of various Chinese and Western medicine preparations, as well as provision of medical and health care consulting and services. The company was formerly known as Nanjing Xingang High-Tech Co., Ltd and changed its name to Nanjing Gaoke Company Limited in January 2013. …
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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.