Veolia Environnement SA (VEOEF) Fair Value & Analysis
Industrials · US · Market cap $30.6B
Analysis
Veolia Environnement SA (VEOEF) currently trades at $41.05, while our model-based Fair Value estimate is $35.75 — implying the stock looks roughly 12.9% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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
Veolia Environnement SA designs and provides water, waste, and energy management solutions. It operates through France and Hazardous Waste Europe; Europe; Americas, Asia Pacific, Africa Middle-East; Water Technologies; and Other segments. The company is involved in resource management; production, treatment, distribution, and delivery of drinking and industrial process water; customer relationship management; collection, treatment, and recycling of wastewater; provision of organic matter, salts, metals, complex molecules, and energy; design and construction of water treatment and network infrastructure; and sale of water treatment equipment, technologies, and facilities. It also provides waste collection, product and waste material recovery, and waste-to-energy processing, including sale of recycled products; material recovery of organic waste; dismantling and remediation; hazardous waste processing and treatment; urban cleaning; and industrial maintenance and cleaning services. In …
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.