Passus S.A (PAS) Fair Value & Analysis
Technology · PL · Market cap 194M PLN
Fair value as of: Jun 24, 2026
Analysis
Passus S.A (PAS) currently trades at 116.30 PLN, while our model-based Fair Value estimate is 125.90 PLN — implying the stock looks roughly 8.3% undervalued today. We read business quality at 89/100 (high quality), in the Technology 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
Passus S.A. engages in the design and implementation of specialized IT solutions in the areas of cybersecurity, network/application monitoring, and performance improvement in Poland. The company offers cybersecurity solutions, such as network environment protection and internet connection, endpoint protection, data security, security operating center, OT security, cloud security, and testing and audits. It also provides advanced solutions, including network performance management, application performance management, and observability to identify the causes and resolve network or application performance and availability problems in large organizations. In addition, the company offers IT infrastructure management solutions for IT managers in handling a range of processes, such as hiring new people, managing access to IT resources, monitoring user activity, and resolving problems reported by users. Its customers include entities in the public sector, such as uniformed services, state b…
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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.