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Clal Industries and Beverages Ltd (CLBV) Fair Value & Analysis

Consumer Non-Cyclicals · Il · Market cap 852M ILA

Price14.68 ILA
Fair Value80.51 ILA
Upside+448.4%
Quality89/100
Evidence: Low Range 62.58 ILA – 98.75 ILA

Fair value as of: Jun 25, 2026

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Analysis

Clal Industries and Beverages Ltd (CLBV) currently trades at 14.68 ILA, while our model-based Fair Value estimate is 80.51 ILA — implying the stock looks roughly 448.4% undervalued today. We read business quality at 89/100 (high quality), in the Consumer Non-Cyclicals 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: low) — always confirm before acting.

About the company

Clal Industries and Beverages Ltd engages in manufacturing and marketing of soft drinks and mineral water. The company was incorporated in 2018 and is based in Tel Aviv-Yafo, Israel.

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Frequently asked questions

Is Clal Industries and Beverages Ltd (CLBV) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 80.51 ILA versus a price of 14.68 ILA — about +448% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CLBV?
Our 21-model fair value for Clal Industries and Beverages Ltd is 80.51 ILA (as of Jun 25, 2026), built from audited fundamentals. The current price is 14.68 ILA.
What is the quality score of CLBV?
Clal Industries and Beverages Ltd has a Quality Score of 89/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.