Dolfines SA (ALDOL) Fair Value & Analysis
Energy · FR · Market cap €2.4M
Fair value as of: Jun 24, 2026
Analysis
Dolfines SA (ALDOL) currently trades at €0.8420, while our model-based Fair Value estimate is €1.11 — implying the stock looks roughly 31.8% undervalued today. We read business quality at 97/100 (high quality), in the Energy 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
Dolfines SA operates as an engineering and services specialist company in France and internationally. It offers rig engineering services, including rig design, modification and upgrades, drilling/structural engineering, mechanical/electrical engineering, and offshore/marine engineering studies; drilling project management, such as well engineering, drilling supervision, drilling operations optimization, and rig, drilling operations, and integrated project management services; technical services comprising rig commissioning, rig audits and recertification, BOP recertification, rig stacking/ reactivation, and subsea support; and inspection and audit services for oil and gas industry. The company also provides project and contract management, quality and surveyance control, supervision of civil engineering works, and selection of lifting and transport equipment for offshore wind sector; and development and financing phase, during construction, throughout the operation of the farm, at t…
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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.