Fairvalue-Calculator Fairvalue-Calculator
EN DE

A. Libental Holdings (LBTL) Fair Value & Analysis

Real Estate · Il · Market cap 196M ILA

Price16.55 ILA
Fair Value14.84 ILA
Upside-10.3%
Quality95/100
Evidence: Medium Range 11.13 ILA – 18.55 ILA

Fair value as of: Jun 26, 2026

Analysis

A. Libental Holdings (LBTL) currently trades at 16.55 ILA, while our model-based Fair Value estimate is 14.84 ILA — implying the stock looks roughly 10.3% overvalued today. We read business quality at 95/100 (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

A. Libental Holdings Ltd, together with its subsidiaries, engages in the construction and development of urban renewal projects and vacant land in Israel. It develops residential projects; and commercial projects, such as commerce and offices intended for rental. The company was formerly known as Lumir Holdings Ltd. and changed its name to A. Libental Holdings Ltd in November 2007. A. Libental Holdings Ltd was incorporated in 1982 and is based in Tel Aviv-Yafo, Israel.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is A. Libental Holdings (LBTL) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 14.84 ILA versus a price of 16.55 ILA — about −10% (overvalued). Model-based estimate, not financial advice.
What is the fair value of LBTL?
Our 21-model fair value for A. Libental Holdings is 14.84 ILA (as of Jun 26, 2026), built from audited fundamentals. The current price is 16.55 ILA.
What is the quality score of LBTL?
A. Libental Holdings 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.