Shapir Engineering and Industry Ltd (SPEN) Fair Value & Analysis
Industrials · Il · Market cap 15.3B ILA
Analysis
Shapir Engineering and Industry Ltd (SPEN) currently trades at 43.40 ILA, while our model-based Fair Value estimate is 12.41 ILA — implying the stock looks roughly 71.4% overvalued today. We read business quality at 90/100 (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: high).
About the company
Shapir Engineering and Industry Ltd engages in the construction, engineering, and infrastructure businesses in Israel. The company offers concrete, cement, quarry materials, asphalt, and prefabricated elements, as well as piping products and steel for construction industries; and geotechnical and subterranean engineering and transport systems. It also undertakes infrastructure projects, including construction of roads, cutting through complex and tunnels for developing light rail systems, marine works, construction of deep-water ports, docks, and power plants, as well as construction of bridges, interchanges, public, and commercial projects. In addition, it is involved in sale or rental of residential apartments and office and commercial spaces; logistics; warehousing services; inventory management, and distribution; urban renewable projects; operation of parking lots and a toll road; construction, maintenance and operation of a natural gas distribution network; casting, coating and…
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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.