City Auto Corporation (CTF) Fair Value & Analysis
Consumer Cyclical · VN · Market cap 1.7T VND
Fair value as of: Jun 24, 2026
Analysis
City Auto Corporation (CTF) currently trades at 17,450 VND, while our model-based Fair Value estimate is 1,905 VND — implying the stock looks roughly 89.1% overvalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical 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: medium).
About the company
City Auto Corporation trades in automobiles, spare parts, accessories, machinery, and equipment in Vietnam. It also manufactures and sells automobiles and other motor vehicles, as well as provides data processing, information technology, and other services related to computers; forest care and tree nursery services; and direct support service for railway transport. In addition, the company is involved in the insurance agency and brokerage activities; real estate consultancy, brokerage, auction, and land use rights auction; automobile and other motor vehicle dealership; sale of spare parts and accessories of automobiles and other motor vehicles; road passenger and road freight transport; motor vehicle leasing; wholesale of computers, peripherals and software; maintenance and repair of automobiles and other motor vehicles; repair of machinery and equipment; retail sale of passenger cars; and wholesale sale of other household goods. City Auto Corporation was incorporated in 2000 and is…
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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.