Cytosorbents Corporation (CTSO) Fair Value & Analysis
Healthcare · US · Market cap $27.5M
Fair value as of: Jun 24, 2026
Analysis
Cytosorbents Corporation (CTSO) currently trades at $0.4290, while our model-based Fair Value estimate is $0.4200 — implying the stock looks roughly 2.1% 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: low).
About the company
Cytosorbents Corporation engages in the research, development, and commercialization of medical devices with its blood purification technology platform in the United States, Germany, and internationally. Its flagship product, CytoSorb, is an extracorporeal blood purification cartridge to reduce cytokine storms in common critical illnesses, bilirubin in liver failure, myoglobin in trauma and critical illnesses, and inflammatory mediators and blood thinners in cardiac surgery applications, as well as to remove antithrombotic drugs and inflammatory mediators in cardiothoracic surgery applications. The company also develops DrugSorb-ATR antithrombotic removal system, an investigational device to reduce the severity of perioperative bleeding in high-risk surgery due to blood thinning drugs; ECOS-300CY to reduce cytokines and other inflammatory mediators when used in an ex vivo organ perfusion system; VetResQ, a broad-spectrum blood purification adsorber for the treatment of septic shock,…
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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.