Wasko S.A (WAS) Fair Value & Analysis
Communication Services · PL · Market cap 574M PLN
Fair value as of: Jun 24, 2026
Analysis
Wasko S.A (WAS) currently trades at 6.50 PLN, while our model-based Fair Value estimate is 11.56 PLN — implying the stock looks roughly 77.8% undervalued today. We read business quality at 94/100 (high quality), in the Communication Services 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: high) — always confirm before acting.
About the company
Wasko S.A. designs, implements, and integrats software, information systems, and advanced industrial automation. It offers gas and fire detection, intelligent monitoring, perimeter security, and traffic dispatch support systems; and industrial facility management, notifications and issues automation, photovoltaic farm management, gas-collector, energy storage, gas planning and procurement process support, automation of business task and process, reverse vending machines, business process management, electronic document management, and business process automation services. The company also provides tunnel simulators, tunnel operator trainer, intelligent transport system, and protection of crossroads and inner parking lots; railway automatic depot management systems locomotive and railway wagon fleet, and linear investment management; police work and uniformed support, and emergency medical; and traffic dispatch support system services. It offers WASKO BSS and WASKO OSS, a platform th…
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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.