Shanghai Model Organisms Center, Inc (688265) Fair Value & Analysis
Healthcare · CN · Market cap 2.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Shanghai Model Organisms Center, Inc (688265) currently trades at ¥31.69, while our model-based Fair Value estimate is ¥11.77 — implying the stock looks roughly 62.9% 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
Shanghai Model Organisms Center, Inc. engages research and development, production, sale, and related technical services of genetically modified animal models. The company uses model organisms, such as mice, rats, zebrafish, and nematodes as carriers which uses gene editing technology to introduce or delete target DNA fragments. It offers toolbox of mice; disease mice, such as rare, infectious, and nervous system diseases, cardio-metabolic, autoimmune, and spontaneous tumor; and target humanized knockins, which includes tumor targets, immune checkpoint, complements, cytokines, and metabolic and other targets, as well as cytokine reporters, inducible cell ablation, and cell-specific reporters. The company also provides other models comprising rats, such as humanized drug target, immunodeficient, diseases, reporters, and cre-drivers; standard strains including inbred and outbred; cells model, which includes reporter labeled, primary, wild-type, and other; and supporting solutions incl…
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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.