Lesico Ltd (LSCO) Fair Value & Analysis
Industrials · Il · Market cap 138M ILA
Fair value as of: Jun 25, 2026
Analysis
Lesico Ltd (LSCO) currently trades at 3.34 ILA, while our model-based Fair Value estimate is 3.46 ILA — implying the stock looks roughly 3.5% undervalued today. We read business quality at 93/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Lesico Ltd, together with its subsidiaries, engages in the construction business in Israel and internationally. The company coordinates the construction of civil engineering projects, including various buildings, and infrastructures above and below the ground; administrative and operational structures, and protected structures and barriers along the borders. It also coordinates the construction of laying tracks and related works; infrastructure for fuel, gas, water, and sewage pipelines, as well as mechanical piping work and equipment installations at power plants; piping infrastructures for the pharmaceutical, food and microelectronics industries, including clean rooms; and construction of wastewater treatment plants, pumping stations, infrastructure in desalination plants, and sludge and bolt treatment facilities. In addition, the company offers preventive and fracture maintenance services for water and sewage systems to municipal and institutional customers; and maintains and ser…
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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.