NX Filtration N.V (NXFIL) Fair Value & Analysis
Industrials · NL · Market cap €154M
Fair value as of: Jun 24, 2026
Analysis
NX Filtration N.V (NXFIL) currently trades at €3.48, while our model-based Fair Value estimate is €2.99 — implying the stock looks roughly 14.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
NX Filtration N.V. develops, produces, and sells hollow fiber membrane modules in the Netherlands, Europe, North America, Asia, and internationally. The company offers hollow fiber nanofiltration membrane modules that remove organics and salinity from water for color removal, COD/BOD removal, reclamation of cleaning solutions, or coloring dye from water; ultrafiltration membrane modules for RO pre-treatment, portable water production, wastewater treatment, and food and beverage applications; and microfiltration membranes for clarification of beverages, as well as dairy, biotechnology, and pharmaceutical applications. It also provides digital modeling, lab-scale testing, and piloting services, including Mexplorer test unit for quick filtration tests and Mexpert pilot installations. In addition, the company offers Projection Tool, an intuitive online platform that enables the rapid and iterative system design for direct nanofiltration membranes, as well as integrated rack designs. NX …
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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.