Hyundai Wia Corporation (011210) Fair Value & Analysis
Consumer Cyclical · KR · Market cap 2.0T KRW
Analysis
Hyundai Wia Corporation (011210) currently trades at 63,400 KRW, while our model-based Fair Value estimate is 96,583 KRW — implying the stock looks roughly 52.3% undervalued today. We read business quality at 85/100 (high quality), in the Consumer Cyclical 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
Hyundai Wia Corporation manufactures and retails auto parts for vehicles, machinery, and industrial machinery worldwide. It offers machine tools, such as CNC turning centers and machining centers; smart mobile robot logistics system; remote control weapon system; Howitzer, tank guns, and mortars; naval guns; and military and civilian aircraft landing gear. The company also provides automobile parts, including gasoline, diesel, and turbocharger engines; thermal management module and electrified axle; chassis, axle, and tire modules; power transfer units, active transfer cases, electronic limited slip differentials, and couplings; constant velocity joints, outboard and Inboard joints, and shafts; and nodular and gray cast iron, as well as hot, cold, mixed, and radial forging and machining and assembly services for automobile industry. HYUNDAI WIA Corporation was founded in 1976 and is headquartered in Changwon-Si, South Korea.
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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.