Kafrit Industries (1993) Ltd (KAFR) Fair Value & Analysis
Basic Materials · Il · Market cap 615M ILA
Fair value as of: Jun 24, 2026
Analysis
Kafrit Industries (1993) Ltd (KAFR) currently trades at 22.47 ILA, while our model-based Fair Value estimate is 33.21 ILA — implying the stock looks roughly 47.8% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Kafrit Industries (1993) Ltd offers customized masterbatches and compounds, and additives in Israel, China, Germany, Canada, the United states, Sweden, and internationally. It offers masterbatches and compounds for agricultural films, polycarbonate and PMMA sheets, antioxidants, BOPE and BOPP films, injection molding and extrusion-blow molding, fibers and nonwoven products, and pipes and sheets. The company also offers masterbatches for polyethylene films, such as bubble films, electronic packaging films, injection- and extrusion-blow molding, foamed films, films for food packaging, greenhouse films, film packaging, industrial films, and industrial packaging films; electrically conductive and permanently antistatic compounds; a range of peel compounds under the CONSTAB name; and Ecocell, a combination of additives in a pelletized polymer base. Kafrit Industries (1993) Ltd was founded in 1973 and is based in Sha'ar HaNegev, Israel.
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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.