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NorAm Drilling AS, (NORAM) Fair Value & Analysis

Energy · NO · Market cap 2.0B NOK

Pricekr 39.85
Fair Valuekr 28.89
Upside-27.5%
Quality95/100
Evidence: High Range kr 22.97 – kr 49.40

Fair value as of: Jun 24, 2026

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Analysis

NorAm Drilling AS, (NORAM) currently trades at kr 39.85, while our model-based Fair Value estimate is kr 28.89 — implying the stock looks roughly 27.5% overvalued today. We read business quality at 95/100 (high quality), in the Energy 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

NorAm Drilling AS, together with its subsidiary, owns and operates AC driven rigs for the drilling of horizontal wells in the United States. The company owns and operates a fleet of rigs located in the Permian Basin. NorAm Drilling AS was incorporated in 2007 and is headquartered in Oslo, Norway.

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Frequently asked questions

Is NorAm Drilling AS, (NORAM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 28.89 versus a price of kr 39.85 — about −28% (overvalued). Model-based estimate, not financial advice.
What is the fair value of NORAM?
Our 21-model fair value for NorAm Drilling AS, is kr 28.89 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 39.85.
What is the quality score of NORAM?
NorAm Drilling 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.