Zanlakol Ltd (ZNKL) Fair Value & Analysis
Consumer Defensive · Il · Market cap 784M ILA
Fair value as of: Jun 24, 2026
Analysis
Zanlakol Ltd (ZNKL) currently trades at 51.10 ILA, while our model-based Fair Value estimate is 57.17 ILA — implying the stock looks roughly 11.9% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Zanlakol Ltd engages in the development, production, marketing, and sale of vegetable products in Israel. The company provides corn, peas, carrots, green beans, chickpeas, and other legumes. It also offers hummus and dips; cooking sauces, including pasta, pizza, lasagna, Bolognese, and omelet sauces; tomato products, such as crushed tomatoes, tomato pastes and concentrates, diced tomatoes, tomato omelet sauce, and spicy pepper salsa; and canned vegetable products comprising apple purees, beans, potatoes, mixed vegetables, corn kernels, carrots, chickpeas, and lupines. In addition, the company provides vinegar, preserved lemon sauce, and syrups; customized products; and milk, milk-based beverages, cheeses, yogurts, cream sauces and shelf-stable cream products. It sells its products to food chains, independent retailers, hospitals, catering services companies, restaurants, the ministry of defense, and various manufacturing companies. The company also exports its products to the United…
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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.