WALLIX GROUP SA (ALLIX) Fair Value & Analysis
Technology · FR · Market cap €179M
Fair value as of: Jun 24, 2026
Analysis
WALLIX GROUP SA (ALLIX) currently trades at €23.05, while our model-based Fair Value estimate is €4.81 — implying the stock looks roughly 79.1% 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: medium).
About the company
WALLIX GROUP SA publishes and provides cybersecurity software solutions worldwide. It offers session manager, which provides solution to manage, control, and audit access to network assets with security posture; password manager that enables IT leaders to easily control and manage their passwords, secrets and credentials; access manager, that enables secure remote access for IT administrators; privilege elevation and delegation management, provides least privilege control over access rights to sensitive IT resources; and application-to-application password manager, enables DevOps to access critical resources without ever knowing the credentials. The company also provides endpoint privilege management, privileged access management, identity management, and multi-factor authentication services; and digital transformation, audit and compliance, risk management, and securing IT-OT convergence solutions. It serves clients through resellers and integrators. WALLIX GROUP SA was incorporate…
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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.