Novogene Co (688315) Fair Value & Analysis
Healthcare · CN · Market cap 5.1B CNY
Analysis
Novogene Co (688315) currently trades at ¥12.58, while our model-based Fair Value estimate is ¥8.78 — implying the stock looks roughly 30.2% overvalued today. We read business quality at 94/100 (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
Novogene Co., Ltd., together with its subsidiaries, provides genomic services and solutions in Mainland China, Hong Kong, Macau, Taiwan, and internationally. The company offers genomic solutions comprising human, animal, plant, and microbial whole genome sequencing, as well as human and mouse whole exome sequencing, microbial de novo sequencing, animal and plant de novo sequencing, and 16S/18S/ITS amplicon and shotgun metagenomic sequencing; transcriptomics solutions, such as mRNA, long non-coding RNA, small RNA, circular RNA, whole transcriptome, isoform, direct RNA, prokaryotic RNA, and meta transcriptome sequencing; and single cell gene expression, single cell long road read transcriptome, and visium formalin-fixed paraffin-embedded spatial transcriptome solutions. It also provides epigenomic solutions comprising whole genome bisulfite, reduced representation bisulfite, chromatin immunoprecipitation, and RNA immunoprecipitation sequencing; premade library and proteomics services;…
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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.