Austriacard Holdings (ACAG) Fair Value & Analysis
Technology · GR · Market cap €348M
Fair value as of: Jun 24, 2026
Analysis
Austriacard Holdings (ACAG) currently trades at €9.75, while our model-based Fair Value estimate is €8.97 — implying the stock looks roughly 8.0% overvalued today. We read business quality at 94/100 (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
Austriacard Holdings AG provides business-to-business secure data and payment solutions in Europe. The company operates through two segments, Digital Security and Information Management. The company engages in the production, development, and personalization of smart cards for banks, public organizations, and retail chains. It offers digital security solutions, such as dual interface payment cards, government electronic identification cards, and mobile payment solutions. The company also offers information management solutions, including customer communication management services or enterprise document management, and scanning and archiving services, as well as digitalization solutions, such as digital onboarding, OCR / data capture solutions for automatic document recognition and registration using machine learning, robotic process automation, natural language understanding, and cognitive analytics solutions, as well as printing services for banks, telecommunication companies, publ…
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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.