Shanghai Research Institute of Building Sciences Group (603153) Fair Value & Analysis
Industrials · CN · Market cap 5.7B CNY
Analysis
Shanghai Research Institute of Building Sciences Group (603153) currently trades at ¥13.44, while our model-based Fair Value estimate is ¥23.37 — implying the stock looks roughly 73.9% undervalued today. We read business quality at 88/100 (high quality), in the Industrials 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: medium) — always confirm before acting.
About the company
Shanghai Research Institute of Building Sciences Group Co., Ltd. operates as a science and technology service company in China. It provides urban construction, management and operation, TIC, planning, architectural design, and engineering survey services; engineering consulting for projects, such as whole process engineering consulting, project management, agent construction management, engineering design and supervision, M&E supervision, agent bidding, project cost consulting, project risk consulting, and BIM consulting; and engineering tests and services in building, transportation, and environment. The company also undertakes special construction services, including structure repair and strengthen, steel structure coating, pre-stress engineering, building energy efficiency renovation, and environment restore; and manufactures construction machinery safety devices. Shanghai Research Institute of Building Sciences Group Co., Ltd. was founded in 1958 and is based in Shanghai, 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.