Scana ASA (SCANA) Fair Value & Analysis
Industrials · NO · Market cap 688M NOK
Fair value as of: Jun 25, 2026
Analysis
Scana ASA (SCANA) currently trades at kr 1.47, while our model-based Fair Value estimate is kr 3.01 — implying the stock looks roughly 104.8% 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: medium) — always confirm before acting.
About the company
Scana ASA provides technology and services for the offshore and energy industries in Norway, other European countries, the United States, Asia, and Africa. It operates in two segments: Energy and Offshore. The company offers stress joints, mooring systems, actuators, bop, risers, maintenace, and surface treatment products; and energy storage solutions, shore power, and energy modules. It also provides product and service portfolio, including design and integration of electrical power systems, electrical infrastructure, energy storage systems, and control system. In addition, the company is involved in design and manufacturing of riser applications and specialist subsea equipment to rig servicing; ISS services; mooring systems; IMR lifecycle services for rigs and vessels; and mooring solutions and valve control systems to the shipping, energy, and aquaculture industry. Scana ASA was formerly known as Incus Investor ASA and changed its name to Scana ASA in May 2020. The company was fo…
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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.