GS Holdings (078930) Fair Value & Analysis
Industrials · KR · Market cap 7.0T KRW
Analysis
GS Holdings (078930) currently trades at 65,000 KRW, while our model-based Fair Value estimate is 130,000 KRW — implying the stock looks roughly 100.0% undervalued today. We read business quality at 80/100 (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
GS Holdings Corp., together its subsidiaries, engages in the energy, power generation, retail, service, construction, and infrastructure businesses. The company supplies heating and cooling facilities; composite resin; electricity and steam by operating coal power plant and wind power farms; produces electricity through combined heat and power plant; provides LNG to power distribution companies; bio diesel; exports refined oils, lubricants, aromatics, and polymers; collects wastes and converts them into rare metals; manufactures wind turbines; operates shipping fleet, comprising petrochemical tankers and gas carriers; and provides petroleum product distribution, transportation, and car sharing services. It operates a convenience store under the GS25 brand; retail chain under the GS THE FRESH brand; GS SHOP, a live commerce store; and hotel under the Parnas brand. In addition, the company manufactures and processes ready-to-eat foods; provides media and marketing services, such as mo…
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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.