CITIC Limited (CTPCF) Fair Value & Analysis
Industrials · US · Market cap $52.4B
Fair value as of: Jun 26, 2026
Analysis
CITIC Limited (CTPCF) currently trades at $1.80, while our model-based Fair Value estimate is $3.60 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 87/100 (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
CITIC Limited operates in the financial services, advanced intelligent manufacturing, advanced materials, consumption, and urbanization businesses in the Mainland of China, Hong Kong, and internationally. The Comprehensive Financial Services segment provides banking, securities, trust, insurance, and asset management services. The Advanced Intelligent Manufacturing segment manufactures heavy machineries, specialized robotics, aluminium wheels, aluminium casting parts, and other products. The Advanced Materials segment includes exploration, processing, and trading of resources and energy products comprising iron ore, copper, and crude oil, as well as manufactures special steels. The New Consumption segment consists of motor, food and consumer products business, telecommunication services, publication services, modern agriculture services, and others. The New-Type Urbanisation segment develops, holds, and sells properties; and provides contracting and design services, as well as infra…
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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.