OMV Petrom S.A (SNP) Fair Value & Analysis
Energy · RO · Market cap 64.7B RON
Analysis
OMV Petrom S.A (SNP) currently trades at 1.04 RON, while our model-based Fair Value estimate is 0.6900 RON — implying the stock looks roughly 33.6% 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
OMV Petrom S.A., an energy company, engages in the exploration and production of oil and gas in Romania and rest of Europe. It operates through three segments: Exploration and Production; Refining and Marketing; and Gas and Power. The Exploration and Production segment engages in the exploration, development, and production of crude oil and natural gas. The Refining and Marketing segment produces and delivers gasoline, diesel, and other petroleum products through Petrobrazi refinery; and provides services and non-oil business products. The Gas and Power segment engages in the production of electricity, as well as sale of gas and power; and operates gas fired power plant. It also offers airport, medical, financial, IT, and other services; produces bioethanol products; and operates charging network for electric vehicles, as well as filling stations and distributes products to retail and wholesale customers. The company was founded in 1857 and is headquartered in Bucharest, Romania. OM…
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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.