Doosan "koda Power a.s. (DSPW) Fair Value & Analysis
Industrials · CZ · Market cap 16.1B CZK
Fair value as of: Jun 24, 2026
Analysis
Doosan "koda Power a.s. (DSPW) currently trades at 513.00 CZK, while our model-based Fair Value estimate is 343.26 CZK — implying the stock looks roughly 33.1% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Doosan "koda Power a.s. engages in engineering, design, manufacturing, management, procurement, construction, and supply of steam turbines and equipment in the Czech Republic, Europe, and Asia. The company provides installation, maintenance, repair, and overhaul services, as well as long-term service agreements. It also offers power and engineering services, LTSA and multi-year service contracts, retrofit and modernization services. The Company markets and sells its products under the Doosan and "koda brands. It serves power generation and industrial sectors, including nuclear power plants, industrial facilities, combined cycle power plants, biomass, waste to energy, and combined heat and power applications, catering to industries, such as utilities, pulp and paper, mining, refinery, steel works, and chemicals. The company was founded in 1869 and is headquartered in Plzen, the Czech Republic. Doosan Skoda Power a.s. operates as a subsidiary of Doosan Power Systems S.A.
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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.