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Shenzhen Capol International & Associatesco.,Ltd (002949) Fair Value & Analysis

Industrials · CN · Market cap 2.2B CNY

Price¥10.89
Fair Value¥10.62
Upside-2.5%
Quality91/100
Evidence: High Range ¥6.37 – ¥14.04

Fair value as of: Jun 25, 2026

Analysis

Shenzhen Capol International & Associatesco.,Ltd (002949) currently trades at ¥10.89, while our model-based Fair Value estimate is ¥10.62 — implying the stock looks roughly 2.5% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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

Shenzhen Capol International & Associatesco.,Ltd provides architectural design services. It also offers cost consulting, general engineering contracting, full-process engineering consulting, and construction project management services. The company was incorporated in 1993 and is based in Shenzhen, China.

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Frequently asked questions

Is Shenzhen Capol International & Associatesco.,Ltd (002949) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥10.62 versus a price of ¥10.89 — about −2% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002949?
Our 21-model fair value for Shenzhen Capol International & Associatesco.,Ltd is ¥10.62 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥10.89.
What is the quality score of 002949?
Shenzhen Capol International & Associatesco.,Ltd has a Quality Score of 91/100, 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.