INFICON Holding (IFCN) Fair Value & Analysis
Technology · CH · Market cap CHF 4.0B
Analysis
INFICON Holding (IFCN) currently trades at CHF 178.20, while our model-based Fair Value estimate is CHF 64.36 — implying the stock looks roughly 63.9% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: high).
About the company
INFICON Holding AG develops instruments for gas analysis, measurement, and control in Switzerland and internationally. The company offers industrial gas analyzers, mass spectrometers, and process control sensors; vacuum gauges, controllers, components, and feedthroughs; leak detectors; thin film controllers; application-based software solutions; quartz crystal, RF sensing, and xParts coating technologies; chemical detectors and monitors; micro gas chromatography; and service tools. It also provides toxic chemical analysis products for emergency response, security, and environmental monitoring, as well as instruments for energy and petrochemical applications. The company's analysis, measurement, and control products are used for gas leak detection in air conditioning, refrigeration, and automotive manufacturing; and for equipment manufacturers and end-users in the fabrication of semiconductors and thin film coatings for optics, flat panel displays, solar cells, LED lighting, and indu…
Open the full interactive analysis →
Similar stocks
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.