Facephi Biometria, S.A (FACE) Fair Value & Analysis
Technology · ES · Market cap €59.8M
Fair value as of: Jun 24, 2026
Analysis
Facephi Biometria, S.A (FACE) currently trades at €2.04, while our model-based Fair Value estimate is €0.6300 — implying the stock looks roughly 69.1% 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: high).
About the company
Facephi Biometria, S.A. engages in the biometric facial recognition technology solutions in Spain and internationally. The company offers authentication, a solution allows user to authenticate through multibiometric technology and prevents unauthorized access; onboarding, a solution that allows to verify the identity of users remotely, automatically capturing the document information, and taking a selfie with passive liveness; and digital identity platform, that allows the customer to design any digital onboarding and authentication process that allows the customer to design any digital onboarding and authentication process. It also provides behavioural biometrics, an intelligent fraud detection solution; mule account detection for proactive protection against financial fraud; and Teseo ID wallet to manage verifiable credentials. Its solutions are used in banking, fintech, crypto, insurance, gaming and gambling, aviation, hospitality, shared mobility, government, telcos, health indu…
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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.