CTF Services Limited (NWSZF) Fair Value & Analysis
Industrials · US · Market cap $4.6B
Analysis
CTF Services Limited (NWSZF) currently trades at $1.00, while our model-based Fair Value estimate is $1.27 — implying the stock looks roughly 27.0% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
CTF Services Limited is a conglomerate company with a diversified portfolio of businesses in toll roads, insurance, logistics, construction, and facilities management primarily in Hong Kong and the Mainland. It engages in the operation of toll roads; investment and management of various logistics projects; and management and operation of venues for exhibitions, conventions, meetings, entertainment events, banquets and catering events, etc., as well as a hospital and sports park. The company also offers general contracting, construction management, and civil engineering and foundation works services for the residential, commercial, governmental, and institutional sectors; and diversified insurance and financial planning products and services, including life insurance, medical insurance, critical illness insurance, personal accident insurance, saving insurance plans, annuities, and investment-linked assurance schemes for individuals and institutions, as well as employee benefit soluti…
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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.