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Zhongtian Service Co (002188) Fair Value & Analysis

Technology · CN · Market cap 1.8B CNY

Price¥5.32
Fair Value¥2.45
Upside-53.9%
Quality95/100
Evidence: High Range ¥1.41 – ¥3.19

Fair value as of: Jun 25, 2026

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Analysis

Zhongtian Service Co (002188) currently trades at ¥5.32, while our model-based Fair Value estimate is ¥2.45 — implying the stock looks roughly 53.9% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

Zhongtian Service Co., Ltd., together with its subsidiaries, provides property management services in China. It offers its services to residential communities, buildings, villas, office buildings, and community commercial properties. The company was formerly known as Bus Online Co., Ltd. and changed its name to Zhongtian Service Co., Ltd. in August 2022. Zhongtian Service Co., Ltd. was founded in 2000 and is based in Hangzhou, China.

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Frequently asked questions

Is Zhongtian Service Co (002188) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥2.45 versus a price of ¥5.32 — about −54% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002188?
Our 21-model fair value for Zhongtian Service Co is ¥2.45 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥5.32.
What is the quality score of 002188?
Zhongtian Service Co has a Quality Score of 95/100, 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.