Andritz AG (ANDR) Fair Value & Analysis
Industrials · AT · Market cap €7.7B
Analysis
Andritz AG (ANDR) currently trades at €79.20, while our model-based Fair Value estimate is €83.40 — implying the stock looks roughly 5.3% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Andritz AG engages in the provision of industrial machinery, equipment, and services in Europe, North America, South America, China, Asia, Africa, Australia, and internationally. It operates through four segments: Pulp & Paper, Metals, Hydropower, and Environment & Energy. The Pulp & Paper segment provides technology, automation, and service solutions to produce pulp, paper, board, and tissue; boilers for power generation; nonwovens technologies; panelboard production systems; and recycling, shredding, and energy solutions for various waste materials. Its Metals segment provides technologies, plants, and digital solutions, including automation and software solutions, and process know-how and services; and solutions for the production and processing of flat products for welding systems and furnaces, as well as services for the metals processing industry. The Hydro segment supplies electromechanical equipment, solutions, and services for hydropower stations; services and digital solut…
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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.