CK Infrastructure Holdings (CKISF) Fair Value & Analysis
Utilities · US · Market cap $18.3B
Analysis
CK Infrastructure Holdings (CKISF) currently trades at $8.60, while our model-based Fair Value estimate is $5.70 — implying the stock looks roughly 33.7% overvalued today. We read business quality at 95/100 (high quality), in the Utilities 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
CK Infrastructure Holdings Limited, an infrastructure company, invests in, develops, and operates infrastructure businesses in Hong Kong, Mainland China, the United Kingdom, Continental Europe, Australia, New Zealand, Canada, and the United States. The company invests in energy infrastructure, transportation infrastructure, water infrastructure, waste management, waste-to-energy, household infrastructure, project management, and infrastructure-related businesses. It is also involved in the production and laying of asphalt; manufacture, distribution, and sale of cement; and property investment, securities investment, and waste management activities. The company was formerly known as Cheung Kong Infrastructure Holdings Limited and changed its name to CK Infrastructure Holdings Limited in May 2017. The company was incorporated in 1996 and is based in Central, Hong Kong. CK Infrastructure Holdings Limited operates as a subsidiary of CK Hutchison Holdings Limited.
Open the full interactive analysis →
Similar stocks
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.