Shikun & Binui Ltd (SKBN) Fair Value & Analysis
Industrials · Il · Market cap 12.0B ILA
Fair value as of: Jun 24, 2026
Analysis
Shikun & Binui Ltd (SKBN) currently trades at 19.17 ILA, while our model-based Fair Value estimate is 3.79 ILA — implying the stock looks roughly 80.2% overvalued today. We read business quality at 88/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Shikun & Binui Ltd., together with its subsidiaries, operates as an infrastructure and real estate company in Israel and internationally. It engages in the development, planning, and construction of housing projects; developing commercial real estate projects, as well as rental properties such as student dormitories, office buildings and commercial space; provision of building sites solution and engineering work, such as power plants, desalination and purification facilities, bridges, and office- and residential high-rises; and paving of roads, construction of airstrips, construction of interchanges, digging of tunnels, excavation of underground passages, and railroad tracks. The company is also involved in the planning and execution of BOT projects; production of precast elements for construction and infrastructure; drilling, foundation and lining works, and groundwater degradation works; production of concrete and clay; developing, financing, and operating large-scale infrastructu…
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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.