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Nacity Property Service Group (603506) Fair Value & Analysis

Real Estate · CN · Market cap 2.0B CNY

Price¥10.19
Fair Value¥11.10
Upside+8.9%
Quality93/100
Evidence: High Range ¥8.32 – ¥13.87

Fair value as of: Jun 25, 2026

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Analysis

Nacity Property Service Group (603506) currently trades at ¥10.19, while our model-based Fair Value estimate is ¥11.10 — implying the stock looks roughly 8.9% 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

Nacity Property Service Group Co.,Ltd. offers real estate property management services in China. It provides value-added services for residential properties, commercial complexes, office buildings, industrial parks, hospitals, public construction projects, and various other properties. The company was formerly known as Nacity Property Service Co., Ltd. Nacity Property Service Group Co.,Ltd. was founded in 1994 and is based in Hangzhou, China.

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Frequently asked questions

Is Nacity Property Service Group (603506) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥11.10 versus a price of ¥10.19 — about +9% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 603506?
Our 21-model fair value for Nacity Property Service Group is ¥11.10 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥10.19.
What is the quality score of 603506?
Nacity Property Service Group has a Quality Score of 93/100, 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.