Champions Oncology, Inc (CSBR) Fair Value & Analysis
Healthcare · US · Market cap $87.8M
Fair value as of: Jun 24, 2026
Analysis
Champions Oncology, Inc (CSBR) currently trades at $6.23, while our model-based Fair Value estimate is $6.20 — implying the stock looks roughly 0.5% 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
Champions Oncology, Inc., a technology-enabled research company, provides technology solutions for drug discovery and development in the United States. The company, through its Tumorgraft technology platform, provides personalized cancer care based upon the implantation of human tumors in immune-deficient mice. It also offers translational oncology solutions that utilizes its technology platform to provide research services that assist in the drug development process of pharmaceutical and biotechnology companies. In addition, the company offers Lumin Bioinformatics, an oncology data-driven software program which contains comprehensive information derived from research services and clinical studies. It markets its products through internet and sales force to pharmaceutical and biotechnology companies. The company was formerly known as Champions Biotechnology, Inc. and changed its name to Champions Oncology, Inc. in April 2011. Champions Oncology, Inc. was incorporated in 1985 and is …
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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.