Hass Corp (450330) Fair Value & Analysis
Healthcare · KR · Market cap 39.8B KRW
Fair value as of: Jun 24, 2026
Analysis
Hass Corp (450330) currently trades at 4,730 KRW, while our model-based Fair Value estimate is 3,829 KRW — implying the stock looks roughly 19.1% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: medium).
About the company
Hass Corp. manufactures and sells dental medical devices. Its CAD/CAM systems include Amber Mill, a machinable dental glass-ceramic blocks made of lithium disilicate; Amber Mill Direct, a CAD/CAM-based millable lithium disilicate block; Amber Mill H, a CAD/CAM block using nano-crystalline ceramics particle; Amber Mill Q, an implant abutment solution; and Amber Mill Meso, a lithium disilicate-based block for implant prosthese. The company's heat-pressing systems comprise Amber Press, a lithium disilicate-based press ingots; Amber Press Master, a lithium disilicate-based high fusion press ingots; and Amber LiSi-POZ and Amber LiSi-POM for lithium disilicate-based press on zirconia. In addition, it offers Amber Vest, an ultra-fine phosphate bound investment for pressable dental ceramics; COCO Lux, a mobile dental photography solution; Selection Tip, a shade matching solution; and Amber Glow, a polish for zirconia, lithium disilicate, porcenlain, and composite. The company was founded in…
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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.