Industrie De Nora S.p.A (DNR) Fair Value & Analysis
Industrials · IT · Market cap €1.4B
Analysis
Industrie De Nora S.p.A (DNR) currently trades at €7.12, while our model-based Fair Value estimate is €6.13 — implying the stock looks roughly 13.9% overvalued today. We read business quality at 94/100 (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
Industrie De Nora S.p.A., through its subsidiaries, delivers electrochemical solutions worldwide and operates through the Electrode Technologies, Water Technologies, and Energy Transition segments. Its Electrode Technologies segment offers metal electrodes coated with catalysts, electrolyzer components, and systems with various applications, including the production of chlorine and caustic soda; the electronics industry including the production of components for lithium battery manufacturing; the refining of non-ferrous metals such as nickel and cobalt; the galvanic finishing industry; the cellulose and paper industry; and the infrastructure sector for the corrosion prevention of reinforced concrete and metal structures. The Water Technologies segment includes water treatment solutions, encompassing electrodes, equipment, systems, and facilities for the disinfection and filtration of drinking water, wastewater, and process water; these solutions serve applications such as residentia…
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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.