People & Technology Inc (137400) Fair Value & Analysis
Industrials · KR · Market cap 984B KRW
Analysis
People & Technology Inc (137400) currently trades at 37,350 KRW, while our model-based Fair Value estimate is 55,011 KRW — implying the stock looks roughly 47.3% 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: medium) — always confirm before acting.
About the company
People & Technology Inc. offers coating, calendaring, slitting, automation, and other machineries. The company's products include electrode, MLCC, OCA and PDLC film, micro lens and protective film, composite optical and window film, silicone and adhesive, release and prism film, polaroid adhesive film, hard and diffuser film back, horizontal and vertical separator, FCCL casting, micro and ultra-filtration membrane, and reverse osmosis membrane coating machines. It also provides electrode calendaring, and polaroid film and FCCL laminating machines; electrode, OCA and window film, release and capacitor fil, primary, thermal paper, label, ceramic separator, copper foil, FCCL, filter, and non-woven fabric slitting machines; filter slitting machines; and LED die bonder, CSP LED taping, camera module tape attaching machines, OIS VCM assembly line, mandrel cutting, wearable device tape attaching, ink and laser marking machines, and spreading machines. In addition, the company offers electr…
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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.