Veridis Environment Ltd (VRDS) Fair Value & Analysis
Industrials · Il · Market cap 7.1B ILA
Analysis
Veridis Environment Ltd (VRDS) currently trades at 42.63 ILA, while our model-based Fair Value estimate is 28.25 ILA — implying the stock looks roughly 33.7% overvalued today. We read business quality at 95/100 (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
Veridis Environment Ltd provides environmental services in the areas of waste management, paper and cardboard, water, and energy in Israel. The company offers waste collection and transportation, separation, sorting, recycling, and disposal, as well as treatment, hazardous waste, total waste management, environmental remediation, hydroxyl, and landfilling services; and produces recycled raw materials and renewable energies using waste. It engages in recycling, cardboard paper production, and packaging manufacturing; and operates a desalination plant that supplies renewable water for consumers, as well as for the industrial and agriculture sectors. In addition, the company develops and operates power stations and energy facilities based on renewable energies, such as biomass, cogeneration, biogas, etc. Further, it designs and operates energy centers and other energy efficiency projects; and provides installation and maintenance services for heating, ventilation, and air-conditioning …
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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.