Young Poong Corporation (000670) Fair Value & Analysis
Technology · KR · Market cap 869B KRW
Analysis
Young Poong Corporation (000670) currently trades at 40,650 KRW, while our model-based Fair Value estimate is 50,444 KRW — implying the stock looks roughly 24.1% undervalued today. We read business quality at 85/100 (high quality), in the Technology 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: low) — always confirm before acting.
About the company
Young Poong Corporation operates as a non-ferrous metal smelting company in Korea. The company offers high purity zinc ingots that are used in hot dip galvanizing, die casting alloys, electroplating and sacrificial anodes, photo engraving plates, zinc oxide, and zinc plates, as well as zinc jumbo bars for hot dip galvanizing; combination zinc bars for continuous and hot dip galvanizing; and zinc alloy ingots for use in automobiles, electric devices, toys and leisure goods, home appliances, accessories, office equipment, and communication equipment, as well as zippers, industrial machinery and tools, builders' and domestic hardware, plastic and press molds, and gears. It also provides sulfuric acid for inorganic chemicals and metal refining, as well as steel, spinning and weaving, chemical and fertilizer, fiber, and paper manufacturing industries; copper sulfate for agrichemicals, reagents, electroplating, and metallurgy; electrolytic copper cathode for brass and bronze, plates, and …
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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.