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Skandia GreenPower AS, (SKAND) Fair Value & Analysis

Utilities · NO · Market cap 182M NOK

Pricekr 1.65
Fair Valuekr 1.53
Upside-7.3%
Quality95/100
Evidence: High Range kr 1.15 – kr 1.91

Fair value as of: Jun 24, 2026

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Analysis

Skandia GreenPower AS, (SKAND) currently trades at kr 1.65, while our model-based Fair Value estimate is kr 1.53 — implying the stock looks roughly 7.3% overvalued today. We read business quality at 95/100 (high quality), in the Utilities sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Skandia GreenPower AS, together with its subsidiaries, provides electricity and energy-saving services in Norway. It offers services under the SkandiaEnergi, SagaEnergi, Motkraft, and Elkompis brands. The company also provides software under the Skandia Smarthus brand. Skandia GreenPower AS was incorporated in 2015 and is based in Kristiansand, Norway.

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Frequently asked questions

Is Skandia GreenPower AS, (SKAND) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 1.53 versus a price of kr 1.65 — about −7% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SKAND?
Our 21-model fair value for Skandia GreenPower AS, is kr 1.53 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 1.65.
What is the quality score of SKAND?
Skandia GreenPower AS, has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.