Poongsan Corporation (103140) Fair Value & Analysis
Industrials · KR · Market cap 2.0T KRW
Analysis
Poongsan Corporation (103140) currently trades at 65,900 KRW, while our model-based Fair Value estimate is 98,425 KRW — implying the stock looks roughly 49.4% 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
Poongsan Corporation manufactures and sells copper and copper-related products in South Korea and internationally. It offers fabricated nonferrous material, such as copper and copper alloy sheets and strips; lead frame alloys; coin blanks and commemorative precious metal coin blanks; copper and copper alloy rods, bars, and wires; lead free cutting brass; and stainless-steel strips and high nickel alloys. The company also provides defense products, including ammunition used in anti-aircraft guns, mortars, howitzers, tank guns, and naval guns; and commercial ammunition for recreational hunting and competitive shooting under the PMC brand. In addition, it is involved in the manufacturing of semi-finished products and components used in the production of ammunition comprising primers, fuses, bullet jacket cups, case cups, discs, cones, rotating bands, links, tungsten penetrators, and shell bodies; production of fuses for naval ammunition, mortar shells, and multiple-launch rocket system…
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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.