Imagesat International (I.S.I) Ltd (ISI) Fair Value & Analysis
Industrials · Il · Market cap 638M ILA
Fair value as of: Jun 24, 2026
Analysis
Imagesat International (I.S.I) Ltd (ISI) currently trades at 10.00 ILA, while our model-based Fair Value estimate is 3.61 ILA — implying the stock looks roughly 63.9% overvalued today. We read business quality at 95/100 (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
Imagesat International (I.S.I) Ltd, together with its subsidiaries, provides space-based intelligence, satellite imagery, and data analytics solutions for homeland defense markets and civilian markets in Israel and internationally. The company provides satellites services, including EROS NG, an intelligence collection asset; and Global Eye, a multi-sensor high revisit satellite constellation. It also offers satellite infrastructure, such as RUNNER and KNIGHT space platforms; ClearSky, a multi-satellite command and control system for end-to-end operation of various earth observation satellite constellations in real time; Direct Access, a platform which enables access to the EROS NG constellation; and AI and data analytics comprising ClearSky Analytics, KingFisher, intelligence as a service, geospatial solutions, and analysts training. The company was formerly known as Imagesat Israel Ltd. and changed its name to Imagesat International (I.S.I) Ltd in September 2021. The company was fo…
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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.