ANY Biztonsági Nyomda Nyrt. (ANY) Fair Value & Analysis
Industrials · HU · Market cap 113B HUF
Fair value as of: Jun 24, 2026
Analysis
ANY Biztonsági Nyomda Nyrt. (ANY) currently trades at 7,890 HUF, while our model-based Fair Value estimate is 12,473 HUF — implying the stock looks roughly 58.1% undervalued today. We read business quality at 87/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
ANY Biztonsági Nyomda Nyrt. operates as a security printing company in Europe. It offers ID&Trust's solution that allows governments to issue vaccination, immunity and test certificates; documents and e-IDs; passport and visa solutions, including biometric passport; ID project management solutions; tax and excise stamps; document security solutions, including document printers, paper additives, security inks, and verification devices; and contactless bank cards with applications in public transport, loyalty, and e-banking. The company also provides digital solutions for tickets, personal ID, car documents, documents, finance, and health; business, lottery, and election forms; meal vouchers and printed matter with security features; security labels; and tickets and passes for public transport. It serves government, financial, retail, and transport sectors. The company was formerly known as State Printing Company PLC. ANY Biztonsági Nyomda Nyrt. was founded in 1851 and is based in Bud…
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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.