Mishorim Real Estate Investments Ltd (MSHR) Fair Value & Analysis
Real Estate · Il · Market cap 108M ILA
Fair value as of: Jun 26, 2026
Analysis
Mishorim Real Estate Investments Ltd (MSHR) currently trades at 3.01 ILA, while our model-based Fair Value estimate is 5.68 ILA — implying the stock looks roughly 88.6% undervalued today. We read business quality at 86/100 (high quality), in the Real Estate 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
Mishorim Real Estate Investments Ltd engages in investments in income-producing real estate, commercial properties, and office buildings in Israel, Canada, the United States, and Germany. It operates through Activities of the subsidiary SKLN; Shopping centers in the US; Office buildings in Israel; and Shopping centers in Germany segments. The company also engages in the acquisition, development, and sale of real estate assets and land; acquisition, development, improvement, management, operation, sale, and leasing of commercial centers; acquisition, development, improvement, management, operation, and sale of office buildings; and acquisition, ownership, and management of hotels and resorts. The company was formerly known as Mishorim Development Co. Ltd. and changed its name to Mishorim Real Estate Investments Ltd in January 2017. Mishorim Real Estate Investments Ltd was incorporated in 1990 and is headquartered in Bnei Brak, 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.