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Jinling Hotel Corporation (601007) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.6B CNY

Price¥6.43
Fair Value¥4.96
Upside-22.9%
Quality80/100
Evidence: Medium Range ¥3.51 – ¥6.40

Fair value as of: Jun 24, 2026

Analysis

Jinling Hotel Corporation (601007) currently trades at ¥6.43, while our model-based Fair Value estimate is ¥4.96 — implying the stock looks roughly 22.9% overvalued today. We read business quality at 80/100 (high quality), in the Consumer Cyclical 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: medium).

About the company

Jinling Hotel Corporation, Ltd. operates hotels in China. The company offers accommodation, catering, and office building leasing services. It also engages in hotel management; liquor distribution; hotel supplies management; research, development, and distribution of food; and management, rental, and sale of properties; and tourism resource development. The company was founded in 1983 and is based in Nanjing, China.

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Frequently asked questions

Is Jinling Hotel Corporation (601007) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥4.96 versus a price of ¥6.43 — about −23% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 601007?
Our 21-model fair value for Jinling Hotel Corporation is ¥4.96 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥6.43.
What is the quality score of 601007?
Jinling Hotel Corporation has a Quality Score of 80/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.