Bangkok Genomics Innovation Public Company (BKGI) Fair Value & Analysis
Healthcare · TH · Market cap 1.2B THB
Fair value as of: Jun 24, 2026
Analysis
Bangkok Genomics Innovation Public Company (BKGI) currently trades at 2.06 THB, while our model-based Fair Value estimate is 1.51 THB — implying the stock looks roughly 26.7% 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: high).
About the company
Bangkok Genomics Innovation Public Company Limited provides medical analysis services in Thailand. The company offers screening for fetal chromosomal abnormalities using non-invasive prenatal testing under the NIFTY brand, preimplantation chromosomal abnormality and thalassemia carrier gene screening, infectious disease group analysis, and monkeypox virus analysis. It also provides other screening tests, such as cancer-related gene screening to predict the risk of inherited cancer, monitor treatment, select drugs that are appropriate for one's genetics, and provide treatment and disease prevention. In addition, the company offers genetic analysis using whole exome sequencing, a technology that can detect gene abnormalities that cause diseases; individual genetic decoding, which involves detailed genetic sequencing to analyze genetic information and identify aspects such as ethnicity or ancestry, optimal exercise profiles, metabolic capabilities, and the risk of genetic diseases; new…
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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.