Goodtech ASA (GOD) Fair Value & Analysis
Industrials · NO · Market cap 379M NOK
Fair value as of: Jun 24, 2026
Analysis
Goodtech ASA (GOD) currently trades at kr 13.05, while our model-based Fair Value estimate is kr 17.55 — implying the stock looks roughly 34.5% 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
Goodtech ASA provides control systems, digitization, and production optimization services for the manufacturing industry in Norway, Sweden, the United States, Japan, Demark, Chile, and internationally. The company provides a range of in-house developed and partner-driven technologies and customized solutions for energy storage and management, digital transformation maturity, control system for wind power, asset monitoring, manufacturing execution system, technical audit services, business intelligence, cyber security management system, food production line, data hub for industrialized IT/OT architecture, and WIZX providing data storage and cloud solutions, digital production system, and feasibility study services. It also offers robotic systems for handling, controlling, and logistics of bulk materials under the Portabulk brand; power and electrical, automation, and system integration solutions; constructs and rehabilitates transformer stations. The company was founded in 1913 and i…
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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.