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Ventura Offshore Holding (VTURA) Fair Value & Analysis

Energy · NO · Market cap 3.4B NOK

Pricekr 28.50
Fair Valuekr 12.83
Upside-55.0%
Quality95/100
Evidence: High Range kr 6.94 – kr 23.30

Fair value as of: Jun 24, 2026

Analysis

Ventura Offshore Holding (VTURA) currently trades at kr 28.50, while our model-based Fair Value estimate is kr 12.83 — implying the stock looks roughly 55.0% 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

Ventura Offshore Holding Ltd., a deep-water drilling contractor, provides offshore drilling services in deep and ultra-deep waters for the oil and gas industry in Brazil and internationally. The company was founded in 1972 and is headquartered in Macaé, Brazil.

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Frequently asked questions

Is Ventura Offshore Holding (VTURA) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 12.83 versus a price of kr 28.50 — about −55% (overvalued). Model-based estimate, not financial advice.
What is the fair value of VTURA?
Our 21-model fair value for Ventura Offshore Holding is kr 12.83 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 28.50.
What is the quality score of VTURA?
Ventura Offshore Holding 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.