Taewoong Co (044490) Fair Value & Analysis
Industrials · KR · Market cap 664B KRW
Fair value as of: Jun 24, 2026
Analysis
Taewoong Co (044490) currently trades at 30,250 KRW, while our model-based Fair Value estimate is 4,098 KRW — implying the stock looks roughly 86.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high).
About the company
Taewoong Co.,Ltd manufactures and sells open-die forgings and ring rolled products in South Korea and internationally. The company offers steel products, including ingots and round blooms. It also provides forging products, such as main shafts, tower flanges, inner and outer rings for pitch bearing, yaw bearings, gear rims, and slewing rings for wind energy; connectors, Christmas tree, ram bops, spiders, clamps, lower housings, wye blocks, and bop doors for oil and gas industry; and kiln tires, kiln support rollers, wheels, kiln support rollers, casting molds, backup rolls, workrolls, drums, tees, shipper shafts, and hooks for industrial machines. In addition, the company offers closure lids, diaphragms, forged cask for nuclear waste, intergrated heads, nuclear shells, and rotor shafts for power plants; intermediate and propeller shafts, pintles, rudder trunks, and rudder stocks; connecting rods, journals, crank shafts, cylinder covers, crosshead pins, and piston rods for marine eng…
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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.