Zur Shamir Holdings (ZUR) Fair Value & Analysis
Financial Services · Il · Market cap 726M ILA
Fair value as of: Jun 26, 2026
Analysis
Zur Shamir Holdings (ZUR) currently trades at 10.51 ILA, while our model-based Fair Value estimate is 21.02 ILA — implying the stock looks roughly 100.0% undervalued today. We read business quality at 80/100 (high quality), in the Financial Services 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: medium) — always confirm before acting.
About the company
Zur Shamir Holdings Ltd, through its subsidiaries, engages in the insurance, consumer credit, real estate, and financial services in Israel. It also provides car, property, life, and health insurance products; mortgages; car loans; and real estate solutions, such as office spaces and co-working environments. In addition, the company offers general, life insurance and savings, personal disability, compulsory car, motor vehicle property, medical expenses and hospitalization, personal accident, critical illness, overseas travel, and other health insurance products. Further, it is involved in the provision of solo loans; loans for the purchase of vehicles to private customers; loans backed by a lien on vehicles; and loans for the purpose of supplementing vehicle loans, as well as investment in real estate assets. The company was formerly known as Zur and changed to its name to Zur Shamir Holdings Ltd in February 1997. Zur Shamir Holdings Ltd was incorporated in 1959 and is based in Peta…
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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.