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Global Knafaim Leasing Ltd (GKL) Fair Value & Analysis

Industrials · Il · Market cap 248M ILA

Price0.9120 ILA
Fair Value0.2300 ILA
Upside-74.8%
Quality95/100
Evidence: Medium Range 0.1600 ILA – 0.3100 ILA

Fair value as of: Jun 24, 2026

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Analysis

Global Knafaim Leasing Ltd (GKL) currently trades at 0.9120 ILA, while our model-based Fair Value estimate is 0.2300 ILA — implying the stock looks roughly 74.8% 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: medium).

About the company

Global Knafaim Leasing Ltd operates as an aviation company in Israel, North and South America, Europe, Asia, Australia, and South Africa. The company acquires, leases, and trades in used commercial aircraft. It serves airlines, leasing companies, and financiers. The company was incorporated in 2002 and is based in Tel Aviv-Yafo, Israel. Global Knafaim Leasing Ltd operates as a subsidiary of Knafaim Holdings Ltd.

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Frequently asked questions

Is Global Knafaim Leasing Ltd (GKL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 0.2300 ILA versus a price of 0.9120 ILA — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GKL?
Our 21-model fair value for Global Knafaim Leasing Ltd is 0.2300 ILA (as of Jun 24, 2026), built from audited fundamentals. The current price is 0.9120 ILA.
What is the quality score of GKL?
Global Knafaim Leasing Ltd has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.