Nedap N.V (NDDLF) Fair Value & Analysis
Technology · US · Market cap $471M
Analysis
Nedap N.V (NDDLF) currently trades at $71.21, while our model-based Fair Value estimate is $84.48 — implying the stock looks roughly 18.6% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
Nedap N.V., together with its subsidiaries, develops and manufactures electronic equipment and software in the Netherlands, Germany, rest of Europe, North America, and internationally. It offers software services, which support healthcare institutions in planning, registering, and administering care processes. Its healthcare software services include Nedap MediKIT, a cloud-based HIS designed to grow with general practitioners and their practices; Luna, an electronic day calendar that helps people with cognitive disabilities manage activities of daily life; and Nedap Ons, a comprehensive EHR solution that supports the full care process. The company also provides sensor-based cow monitoring and management solutions comprising Nedap Cow Monitoring Platform, which establishes an integrated, modular platform that connects sensors, insights, and automation tools to create solutions; and SmartSight, an AI-driven solution that uses computer vision to deliver actionable insights on cow healt…
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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.