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DataWalk S.A (DAT) Fair Value & Analysis

Technology · PL · Market cap 884M PLN

Price120.00 PLN
Fair Value13.24 PLN
Upside-89.0%
Quality95/100
Evidence: Low Range 9.93 PLN – 16.55 PLN

Fair value as of: Jun 23, 2026

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Analysis

DataWalk S.A (DAT) currently trades at 120.00 PLN, while our model-based Fair Value estimate is 13.24 PLN — implying the stock looks roughly 89.0% 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: low).

About the company

DataWalk S.A. provides an enterprise IT class software platform in Poland, North and South America, and internationally. It operates through DataWalk SA and DataWalk Inc. segments. It provides anti-money laundering, fraud detection, law enforcement intelligence, and coronavirus analysis software products. The company serves the banking, defense, government, insurance, intelligence agencies, and law enforcement agencies. DataWalk S.A. was incorporated in 2011 and is headquartered in Wroclaw, Poland.

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Frequently asked questions

Is DataWalk S.A (DAT) undervalued?
As of Jun 23, 2026, our model estimates a fair value of 13.24 PLN versus a price of 120.00 PLN — about −89% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DAT?
Our 21-model fair value for DataWalk S.A is 13.24 PLN (as of Jun 23, 2026), built from audited fundamentals. The current price is 120.00 PLN.
What is the quality score of DAT?
DataWalk S.A has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.