PC1 Group (PC1) Fair Value & Analysis
Industrials · VN · Market cap 8.1T VND
Fair value as of: Jun 25, 2026
Analysis
PC1 Group (PC1) currently trades at 21,900 VND, while our model-based Fair Value estimate is 53,172 VND — implying the stock looks roughly 142.8% undervalued today. We read business quality at 81/100 (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
PC1 Group Joint Stock Company engages in the construction, industrial production, real estate, energy, trading, exploitation and operation of industrial zone, mining, and other businesses in Vietnam. The company engages in construction of other engineering works comprising construction and installation of power transmission lines and transformer stations, power source facilities, industrial and civil works, infrastructure engineering, traffic, irrigation, and post and telecommunication facilities. It is also involved in production, transmission, and distribution of electricity; installation of electrical systems; surface preparation; wholesale of metals and metal ores; production of metal structures; forging, stamping, pressing, and rolling of metal; metal powder smelting; import and export of goods; and measuring cadastral maps, clearing land plots, and extracting and measuring land plots for land compensation purposes. In addition, the company engages in the trading of real estate…
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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.