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Vitania Ltd (VTNA) Fair Value & Analysis

Real Estate · Il · Market cap 958M ILA

Price18.88 ILA
Fair Value10.21 ILA
Upside-45.9%
Quality94/100
Evidence: High Range 2.04 ILA – 10.21 ILA

Fair value as of: Jun 26, 2026

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Analysis

Vitania Ltd (VTNA) currently trades at 18.88 ILA, while our model-based Fair Value estimate is 10.21 ILA — implying the stock looks roughly 45.9% overvalued today. We read business quality at 94/100 (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: high).

About the company

Vitania Ltd. operates as a real estate company in Israel. It engages in entrepreneurship, land development, and improvement and construction of buildings. The company constructs and leases offices, commercial areas, residential buildings, and assisted living facilities, as well as parking lots. Vitania Ltd. was incorporated in 1995 and is based in Tel Aviv-Yafo, Israel.

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Frequently asked questions

Is Vitania Ltd (VTNA) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 10.21 ILA versus a price of 18.88 ILA — about −46% (overvalued). Model-based estimate, not financial advice.
What is the fair value of VTNA?
Our 21-model fair value for Vitania Ltd is 10.21 ILA (as of Jun 26, 2026), built from audited fundamentals. The current price is 18.88 ILA.
What is the quality score of VTNA?
Vitania Ltd has a Quality Score of 94/100, 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.