Brand Group (BRND) Fair Value & Analysis
Basic Materials · Il · Market cap 151M ILA
Fair value as of: Jun 25, 2026
Analysis
Brand Group (BRND) currently trades at 2.57 ILA, while our model-based Fair Value estimate is 2.42 ILA — implying the stock looks roughly 5.9% overvalued today. We read business quality at 84/100 (high quality), in the Basic Materials 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: low).
About the company
Brand Group (M.G) Ltd, together with its subsidiaries, engages in metal construction and infrastructure, energy facilities, petrochemical facilities, and other industrial facilities in Israel. The company operates through Infrastructure, Engineering, Software and Control, and Other Activities segment. The company is involved in development and production of automatic inspection systems, computerized ticketing and entry control systems in the fields of public transportation, fleet management systems, information security, electric charging management systems, and observation balloon systems; planning, construction, and maintenance of renewable energy projects. It also engages in planning, construction, and maintenance of roads, interchanges, car tunnels, bridges, railway tunnels, railway stations, airport runways, architectural lighting, and more; electrical systems and infrastructures; and providing traffic control systems, railway signaling systems, security and safety systems, fir…
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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.