Rovsing A/S (ROV) Fair Value & Analysis
Industrials · DK · Market cap 47.4M DKK
Fair value as of: Jun 24, 2026
Analysis
Rovsing A/S (ROV) currently trades at kr 42.50, while our model-based Fair Value estimate is kr 59.42 — implying the stock looks roughly 39.8% 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: low) — always confirm before acting.
About the company
Rovsing A/S engages in the development, manufacture, and delivery of systems for functional and electrical testing of spacecrafts and their payloads in Europe, the United Kingdom, and internationally. It offers RO-5000 solar array simulator, RO-2000 MASC, RO-1000 second level protection, and distributed simulation and test environment; on-board software solutions; and ground support software solutions, as well as simulation and evaluation software solutions. The company also provides independent software verification and validation services for the European unmanned cargo module ATV that is used to bring goods to the International Space Station and docking with it automatically; and on-site engineering support services, such as software engineering, project management, quality assurance and configuration management, and system operation and maintenance, as well as assembly, integration, and validation services. It serves European and US-based large system integrators, European Space…
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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.