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Dadelo S.A (DAD) Fair Value & Analysis

Consumer Cyclical · PL · Market cap 829M PLN

Price71.80 PLN
Fair Value29.04 PLN
Upside-59.6%
Quality95/100
Evidence: High Range 21.78 PLN – 36.30 PLN

Fair value as of: Jun 24, 2026

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Analysis

Dadelo S.A (DAD) currently trades at 71.80 PLN, while our model-based Fair Value estimate is 29.04 PLN — implying the stock looks roughly 59.6% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Dadelo S.A. engages in the online sale of bicycles, accessories, and bicycle parts primarily in Poland. The company provides its products through Dadelo.pl and Centrumrowerowe.pl online stores. The company was founded in 2005 and is based in Bydgoszcz, Poland. Dadelo S.A. operates as a subsidiary of Oponeo.pl S.A.

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Frequently asked questions

Is Dadelo S.A (DAD) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 29.04 PLN versus a price of 71.80 PLN — about −60% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DAD?
Our 21-model fair value for Dadelo S.A is 29.04 PLN (as of Jun 24, 2026), built from audited fundamentals. The current price is 71.80 PLN.
What is the quality score of DAD?
Dadelo 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.