Polarean Imaging plc (PLLWF) Fair Value & Analysis
Healthcare · US · Market cap $8.0M
Fair value as of: Jun 26, 2026
Analysis
Polarean Imaging plc (PLLWF) currently trades at $0.0066, while our model-based Fair Value estimate is $0.0068 — implying the stock looks roughly 3.4% undervalued today. We read business quality at 92/100 (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
Polarean Imaging plc operates as a drug-device manufacturer and service provider for noble gas hyperpolariser devices in Canada, the United Kingdom, and the United States. The company engages in the research, development, and commercialization of novel imaging solutions with a non-invasive and radiation-free functional imaging platform. It also offers XENOVIEW, a hyperpolarized contrast agent indicated for use with magnetic resonance imaging (MRI) for evaluation of lung ventilation in adults and pediatric patients aged 12 years and older; chest coil; Polarean 9820 Xenon hyperpolarizer that is designed to deliver up to 3 litres of hyperpolarized 129Xe per hour; and Polarean 2881 polarization measurement station, which provides a calibrated measurement of the polarization of hyperpolarized gas within the dose delivery inhalation bag. Polarean Imaging plc was incorporated in 2016 and is based in London, the United Kingdom.
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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.