Erria A/S (ERRIA) Fair Value & Analysis
Industrials · DK · Market cap 67.7M DKK
Fair value as of: Jun 25, 2026
Analysis
Erria A/S (ERRIA) currently trades at kr 3.55, while our model-based Fair Value estimate is kr 8.45 — implying the stock looks roughly 138.0% 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
Erria A/S engages in the shipping, offshore support, logistics, and maritime-related manufacturing and trading activities in Denmark, Vietnam, and Singapore. The company provides ship management services, including operational management, fleet management, crew management, technical management, and safety and compliance; marine warranty survey services, such as independent technical reviews, risk assessment and mitigation, compliance and loss prevention, and marine logistics support; and offshore personnel services comprising recruitment and provision of skilled personnel, support for fiber optic cable laying and installation, expansion into subsea contractors' market, and safety and compliance training. It also offers container services which include strategic storage solutions, container depot handling, and container maintenance and repair. In addition, the company engages in the provision of lifesaving and firefighting equipment; safety audits and inspections; safety management s…
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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.