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Hagag Europe Development Z.F. Ltd (HGGE) Fair Value & Analysis

Real Estate · Il · Market cap 918M ILA

Price13.37 ILA
Fair Value1.68 ILA
Upside-87.4%
Quality80/100
Evidence: Medium Range 1.26 ILA – 2.10 ILA

Fair value as of: Jun 26, 2026

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Analysis

Hagag Europe Development Z.F. Ltd (HGGE) currently trades at 13.37 ILA, while our model-based Fair Value estimate is 1.68 ILA — implying the stock looks roughly 87.4% overvalued today. We read business quality at 80/100 (high quality), in the Real Estate 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

Hagag Europe Development Z.F. Ltd engages in the investment and development of real estate properties in Romania. Its projects include residential, office, and commercial projects. The company was incorporated in 2017 and is based in Tel Aviv-Yafo, Israel.

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Frequently asked questions

Is Hagag Europe Development Z.F. Ltd (HGGE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 1.68 ILA versus a price of 13.37 ILA — about −87% (overvalued). Model-based estimate, not financial advice.
What is the fair value of HGGE?
Our 21-model fair value for Hagag Europe Development Z.F. Ltd is 1.68 ILA (as of Jun 26, 2026), built from audited fundamentals. The current price is 13.37 ILA.
What is the quality score of HGGE?
Hagag Europe Development Z.F. Ltd has a Quality Score of 80/100, 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.