Proteome Sciences plc (PMSNF) Fair Value & Analysis
Healthcare · US · Market cap $8.8M
Fair value as of: Jun 23, 2026
Analysis
Proteome Sciences plc (PMSNF) currently trades at $0.0200, while our model-based Fair Value estimate is $0.0500 — implying the stock looks roughly 150.0% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Proteome Sciences plc provides contract research services for the identification, validation, and application of protein biomarkers in the United States, the United Kingdom, European Union, and internationally. The company offers TMT LC-MS2, a standard method for analyzing cells and tissues when no phosphopeptide enrichment is required; TMT LC-MS3, a standard method for biomarker discovery in plasma and other samples where quantitative accuracy is a factor; SysQuant that provides an analysis of protein activity across regulatory and signaling pathways; and TMTcalibrator which analyzes where diseased or treated tissue can be analyzed in parallel with peripheral fluids. It also offers top 14 and super depletion of proteins from serum and plasma; selective reaction monitoring (SRM) and parallel reaction monitoring (PRM); SRM assay, a targeted mass spectrometry assay format for the routine measurement of biomarkers; and TMT SRM, a targeted assay format that enables the rapid validation …
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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.