Verbio SE (VBVBF) Fair Value & Analysis
Basic Materials · US · Market cap $2.8B
Analysis
Verbio SE (VBVBF) currently trades at $44.05, while our model-based Fair Value estimate is $39.97 — implying the stock looks roughly 9.3% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: low).
About the company
Verbio SE engages in the production and distribution of fuels and finished products in Germany, Europe, North America, and internationally. It operates through Biodiesel, Bioethanol/Biomethane, and Other segments. The company provides bio-based chemicals, biodiesel, pharma-glycerine, biomethane, and bioethanol; olefin metathesis catalysts; animal feeds, such as Verbio Proti Flow and Verbio Grain Pro; phytosterols under the Sterocellent brand; and fertilizers. It also offers trading, and transport and logistics services. The company's products are used for cosmetics, food, pharmaceuticals, heat and power generation, fuels, renewable chemicals, aromas and fragrances, plastics, agrochemicals, and agriculture applications. It serves oil, oil mills, pharmaceuticals, trading and logistics, transport and fleet operators, energy utilities, farmers, LNG/CNG filling stations/retail, and other industries. The company was formerly known as VERBIO Vereinigte BioEnergie AG and changed its name to…
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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.