Vrancart S.A (VNC) Fair Value & Analysis
Consumer Cyclical · RO · Market cap 186M RON
Fair value as of: Jun 26, 2026
Analysis
Vrancart S.A (VNC) currently trades at 0.0940 RON, while our model-based Fair Value estimate is 0.0526 RON — implying the stock looks roughly 44.0% overvalued today. We read business quality at 89/100 (high quality), in the Consumer Cyclical 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
Vrancart S.A. produces and sells corrugated cardboard, and paper in various assortments. The company offers corrugated cardboards, including single-wall, double-wall, double-double wall, and single-faced corrugated cardboards; paperboard products comprising testliner, wellenstoff, wellenstoff HP, schrenz, and sized papers for core tubes; and tissue paper, paper towels, and tissue paper products. It also provides waste collection and recycling services; sale, rental, and maintenance of waste recycling equipment; corrugated cardboard packaging; hygienic-sanitary papers; and paper used in the manufacture of corrugated cardboard. In addition, the company engages in the sale of electricity generated from photovoltaic parks. It serves retail and the fast-moving consumer goods industry, logistics and transport industry, industrial manufacturers, end consumers of paper products, and international customers. The company distributes its products through supermarket and hypermarket chains, and…
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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.