Cryosite Limited (CTE) Fair Value & Analysis
Healthcare · AU · Market cap A$51.7M
Fair value as of: Jun 24, 2026
Analysis
Cryosite Limited (CTE) currently trades at A$1.06, while our model-based Fair Value estimate is A$0.8500 — implying the stock looks roughly 19.8% 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
Cryosite Limited provides outsourced clinical trials logistic services in Australia. It operates through Ambient, cold, and frozen; Ultra-frozen and cryogenic; and Cord Blood segments. The Ambient, cold, and frozen segment provides good manufacturing practice (GMP) clinical trial materials, scheduled medicines, controlled drug storage, clinical ancillary supplies, medical devices, and commercial products with strict temperature requirements. The Ultra-frozen and cryogenic segment offers advanced therapy medicinal products (ATMPS), such as cell and gene therapies (CGT), cell therapies, mRNA-based medicines, biological samples, and research and development materials requiring high-integrity cold storage. The Cord Blood segment provides storage of cord blood cell and tissue samples for personal or directed therapeutic use by maintaining under validated chain-of-identity controls. It also offers reverse logistics services, secondary packaging, inventory management, and quality transport…
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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.