Abra Information Technologies Ltd (ABRA) Fair Value & Analysis
Technology · Il · Market cap 466M ILA
Fair value as of: Jun 24, 2026
Analysis
Abra Information Technologies Ltd (ABRA) currently trades at 4.00 ILA, while our model-based Fair Value estimate is 2.83 ILA — implying the stock looks roughly 29.3% overvalued today. We read business quality at 92/100 (high quality), in the Technology 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
Abra Information Technologies Ltd. provides information technology solutions in Israel. The company provides managed research and development services; customer relationship management system solutions, such as system specification, cross-organizational implantation, process automation, instruction and training, and ongoing support solutions; UX and UI designing studio; enterprise resource planning system solutions, including project management, training and instruction, data migration, and support and service center, as well as consultancy, application, and implementation solutions; business intelligence solution; strategy realization, such as project management and agile transformation solutions, as well as implementing PPM, Jira, and Atlassian tools; cloud solutions; e-commerce and marketing automation comprising development of e-commerce websites and systems, technological specifications, and UI/UX and IoT direct sales solutions; cyber consulting solutions, including information…
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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.