Fairvalue-Calculator Fairvalue-Calculator

NAE (NAE) Fair Value & Analysis

Energy · FR · Market cap €659M

Price€46.22
Fair Value€140.84
Upside+204.7%
Quality92/100
Evidence: High Range €116.53 – €176.06

Analysis

NAE (NAE) currently trades at €46.22, while our model-based Fair Value estimate is €140.84 — implying the stock looks roughly 204.7% undervalued today. We read business quality at 92/100 (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

North Atlantic Energies, distributes, and markets oil products in France and internationally. It offers gas, gasoline, kerosene, diesel, domestic fuel oils, and heavy fuel oils; base oils, white oils, paraffins, and finished lubricants; and aviation and marine fuels under the Esso and Mobil brand names. Its products are used in automotive, industrial and marine applications. The company also operates a network of service stations under the Esso and Esso Express brands. It markets its products through a network of distributors and resellers. The company was formerly known as Esso S.A.F. and changed its name to North Atlantic Energies in November 2025. The company was founded in 1902 and is headquartered in Nanterre, France. As of November 28, 2025, North Atlantic Energies operates as a subsidiary of North Atlantic France SAS.

Open the full interactive analysis →

Similar stocks

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.