Shanghai Industrial Holdings (SGHIF) Fair Value & Analysis
Industrials · US · Market cap $2.1B
Analysis
Shanghai Industrial Holdings (SGHIF) currently trades at $1.71, while our model-based Fair Value estimate is $3.42 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 80/100 (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 Industrial Holdings Limited, an investment holding company, engages in the infrastructure and environmental protection, real estate, consumer products, and comprehensive healthcare operations businesses in Hong Kong, the People's Republic of China, rest of Asia, and internationally. The company invests in toll road and bridge projects; and water services/clean energy businesses. It also engages in property development and investment activities, as well as hotel operations. In addition, the company manufactures and sells cigarettes, packaging materials, and printed products; and pharmaceutical and healthcare products. Further, it engages in the raw materials sourcing business; provision of distribution and supply chain solutions services; and operation and franchise of a network of retail pharmacies. The company was incorporated in 1996 and is based in Wan Chai, Hong Kong. Shanghai Industrial Holdings Limited operates as a subsidiary of Shanghai Industrial Investment (Holdin…
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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.