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Lunit Inc (328130) Fair Value & Analysis

Healthcare · KR · Market cap 1.1T KRW

Price11,140 KRW
Fair Value8,314 KRW
Upside-25.4%
Quality95/100
Evidence: Low Range 6,236 KRW – 10,393 KRW

Analysis

Lunit Inc (328130) currently trades at 11,140 KRW, while our model-based Fair Value estimate is 8,314 KRW — implying the stock looks roughly 25.4% 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: low).

About the company

Lunit Inc. provides AI-powered software and solutions for cancer diagnostics and therapeutics in South Korea. It offers AI solution for chest X-ray and mammography, as well as AI solution for digital breast tomosynthesis, and AI-powered biomarker for immune phenotyping and PD-L1 biomarker analyzer. The company has a strategic collaboration with AstraZeneca for the development of Lunit SCOPE Genotype Predictor, an AI-powered tool capable of analyzing H&E slide images to predict the likelihood of the tumor harboring NSCLC driver mutations, such as Epidermal Growth Factor Receptor mutations; with Agilent Technologies Inc. to create advanced solutions that meet the demand of novel and complex biomarker assays in drug development; and with Daiichi Sankyo Company, Limited to accelerate biomarker discovery and translational research. Lunit Inc. was founded in 2013 and is based in Seoul, 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.