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Guangzhou Metro Design & Research Institute Co (003013) Fair Value & Analysis

Industrials · CN · Market cap 7.5B CNY

Price¥16.98
Fair Value¥14.37
Upside-15.4%
Quality93/100
Evidence: High Range ¥8.07 – ¥24.15

Analysis

Guangzhou Metro Design & Research Institute Co (003013) currently trades at ¥16.98, while our model-based Fair Value estimate is ¥14.37 — implying the stock looks roughly 15.4% overvalued today. We read business quality at 93/100 (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

Guangzhou Metro Design & Research Institute Co., Ltd. provides engineering consultancy services. The company provides professional technical services, including survey and design, planning consultation, and general contracting for rail transit, municipal, construction, and other construction projects. It also offers measurement services; standardization services; planning and design management; engineering management services; environmental protection monitoring; geological surveys; professional design services; fire protection technical services; disaster risk assessment; national land space planning; safety production; construction project quality inspection; engineering survey and design; construction engineering survey; special equipment design; and engineering design. The company was founded in 1993 and is headquartered in Guangzhou, China.

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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.