Fairvalue-Calculator Fairvalue-Calculator
EN DE

Lahav LR Real Estate Ltd (LAHAV) Fair Value & Analysis

Consumer Cyclical · Il · Market cap 3.1B ILA

Price10.18 ILA
Fair Value6.89 ILA
Upside-32.3%
Quality92/100
Evidence: High Range 5.11 ILA – 6.89 ILA

Analysis

Lahav LR Real Estate Ltd (LAHAV) currently trades at 10.18 ILA, while our model-based Fair Value estimate is 6.89 ILA — implying the stock looks roughly 32.3% overvalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical 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

Lahav LR Real Estate Ltd. engages in the real estate and renewable green energy business in Israel and Germany. The company operates real estate properties, including commercial centers and hotels. The company is also involved in the development, construction, acquisition, and holding of photovoltaic power generation systems. In addition, It operates gas stations and convenience stores and retail; and supplies fuels. The company was formerly known as S.R. Overseas Investments Ltd. and changed its name to Lahav LR Real Estate Ltd. in January 2012. Lahav LR Real Estate Ltd. was incorporated in 1963 and is based in Yakum, Israel.

Open the full interactive analysis →

Similar stocks

Alimentation Couche-Tard Inc (ANCTF) -4% Casey's General Stores, Inc (CASY) -71% Williams-Sonoma, Inc (WSM) -44% Ulta Beauty, Inc (U1LT34) -21% DICK'S Sporting Goods, Inc (DKS) +32% China Tourism Group (601888) -29%

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.