Villar International Ltd (VILR) Fair Value & Analysis
Real Estate · Il · Market cap 3.3B ILA
Fair value as of: Jun 25, 2026
Analysis
Villar International Ltd (VILR) currently trades at 176.60 ILA, while our model-based Fair Value estimate is 197.52 ILA — implying the stock looks roughly 11.8% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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
Villar International Ltd., together with its subsidiaries, engages in the real estate business in Israel, Romania, and internationally. The company operates through three segments: Building Rental, Building Construction, and Archival. It finds and purchases lands for industrial buildings and safe housings, as well as leases offices; and initiates and constructs residential and office buildings, shopping centers, and logistic centers, as well as purchases land reserves. The company also offers archive and storage services for various media, including packing containers delivery, transfer, extraction and retrieval of materials, and destroying materials past its archival date. In addition, it provides construction and safety equipment rental, as well as molding engineering solutions and services; and engages in the initiation, construction, acquisition, maintenance, and upkeep of photovoltaic power generation systems. The company was incorporated in 1975 and is based in Caesarea, Israel.
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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.