Sofiva Genomics Co (6615) Fair Value & Analysis
Healthcare · TW · Market cap 767M TWD
Fair value as of: Jun 24, 2026
Analysis
Sofiva Genomics Co (6615) currently trades at 37.70 TWD, while our model-based Fair Value estimate is 8.94 TWD — implying the stock looks roughly 76.3% 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
Sofiva Genomics Co.,Ltd. provides pre-pregnancy, prenatal, and newborn genetic testing and medical testing services in Taiwan and internationally. The company offers reproductive testing services, including preimplantation genetic testing for aneuploidy (PGT-A), non-invasive preimplantation genetic testing for aneuploidy (niPGT-A), and preimplantation genetic testing for monogenic diseases (PGT-M); and prenatal testing services, such as non-invasive prenatal screening, array, karyotyping, maternal serum screening for down syndrome, risk assessment for early/late-onset preeclampsia, folate metabolism genetic testing, congenital infection screening,carrier scan, thalassemia genetic testing, spinal muscular atrophy genetic testing, and fragile X syndrome genetic testing. It also provides baby genetic testing comprising sensorineural hearing loss genetic testing; congenital central hypoventilation syndrome genetic testing (CCHS); and congenital cytomegalovirus infection testing (CMV). I…
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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.