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Suzhou Institute of Building Science Group (603183) Fair Value & Analysis

Industrials · CN · Market cap 1.9B CNY

Price¥3.67
Fair Value¥1.98
Upside-46.0%
Quality89/100
Evidence: Medium Range ¥1.78 – ¥1.98

Fair value as of: Jun 24, 2026

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Analysis

Suzhou Institute of Building Science Group (603183) currently trades at ¥3.67, while our model-based Fair Value estimate is ¥1.98 — implying the stock looks roughly 46.0% overvalued today. We read business quality at 89/100 (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: medium).

About the company

Suzhou Institute of Building Science Group Co.,Ltd operates in the construction industry in China. It offers inspection, testing, and certification; smart city; carbon neutral; green and environmental building material; EPC engineering general contracting; urban renewal; smart manufacturing; and vocational education and training services. The company was founded in 1979 and is based in Suzhou, China.

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Frequently asked questions

Is Suzhou Institute of Building Science Group (603183) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥1.98 versus a price of ¥3.67 — about −46% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 603183?
Our 21-model fair value for Suzhou Institute of Building Science Group is ¥1.98 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥3.67.
What is the quality score of 603183?
Suzhou Institute of Building Science Group has a Quality Score of 89/100, 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.