Ashtrom Group (ASHG) Fair Value & Analysis
Real Estate · Il · Market cap 7.6B ILA
Analysis
Ashtrom Group (ASHG) currently trades at 64.90 ILA, while our model-based Fair Value estimate is 41.17 ILA — implying the stock looks roughly 36.6% overvalued today. We read business quality at 92/100 (high quality), in the Real Estate 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
Ashtrom Group Ltd. operates as a construction and property company in Israel and internationally. The company also constructs various projects, comprising infrastructures and mega-projects, residential and public buildings, hotels, office blocks, retail, logistic and industrial facilities, industrial building plants, and groundwork and underground infrastructures, as well as educational, community, and security institutions. It also produces, markets, and sells concrete and mortar products, white autoclaved blocks, gypsum interlocking blocks, waterproofing and insulation systems, adhesives, coatings, cladding materials, and mined and quarried materials for the building industries and the infrastructures sector. In addition, the company operates concession projects, such as public infrastructure, construction, and transport projects; develops land; initiates, builds, and sells housing developments; and initiates, procures, owns, and manages offices and businesses, commerce, industria…
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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.