Quanterix Corporation (QTRX) Fair Value & Analysis
Healthcare · US · Market cap $164M
Fair value as of: Jun 25, 2026
Analysis
Quanterix Corporation (QTRX) currently trades at $3.78, while our model-based Fair Value estimate is $1.89 — implying the stock looks roughly 50.0% 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
Quanterix Corporation, a life sciences company in North America, Europe, the Middle East, Africa, and the Asia Pacific regions. The company offers HD-X instrument, a protein detection platform; and SR-X instrument that enables researchers to apply Simoa detection in an expanded range of applications. It also provides SP-X instrument that is based on Simoa planar array technology for the measurement of multiplex chemiluminescent immunoassays. The company's products include assays include all components required to run enzyme-based immunoassay, such as beads, capture and detector reagents, and enzyme reagents and substrate; and replacement parts, reagents, and antibodies. In addition, the company offers contract research and clinical laboratory testing services, including research and clinical trial testing, and lucent diagnostic services. The company primarily operates in the areas of neurology, oncology and immunology, and inflammation. It sells its products for the life science res…
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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.