Fairvalue-Calculator Fairvalue-Calculator

Gav-Yam Lands Corp (GVYM) Fair Value & Analysis

Real Estate · Il · Market cap 8.0B ILA

Price35.31 ILA
Fair Value26.72 ILA
Upside-24.3%
Quality83/100
Evidence: Medium Range 20.04 ILA – 33.40 ILA

Analysis

Gav-Yam Lands Corp (GVYM) currently trades at 35.31 ILA, while our model-based Fair Value estimate is 26.72 ILA — implying the stock looks roughly 24.3% overvalued today. We read business quality at 83/100 (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

Gav-Yam Lands Corp. Ltd, together with its subsidiaries, operates as a real estate company in Israel. The company engages in the initiation, development, planning, construction, marketing, leasing, and management of hi-tech parks, industrial and commercial parks, office buildings, logistics centers, commercial spaces, parking lots, and the residential construction area. It also offers management and maintenance services for the office buildings and commercial spaces. The company was formerly known as Bayside Land Corporation Ltd and changed its name to Gav-Yam Lands Corp. Ltd in June 2021. Gav-Yam Lands Corp. Ltd was incorporated in 1928 and is based in Tel Aviv-Yafo, Israel. Gav-Yam Lands Corp. Ltd operates as a subsidiary of Property and Building Company Ltd.

Open the full interactive analysis →

Similar stocks

Dar Global PLC (DAR) +150% Vinhomes Joint Stock Company (VHM) -4% DLF Limited (DLF) -54% PT Pantai Indah Kapuk Dua Tbk, (PANI) -80% Lodha Developers Limited (LODHA) -16% Oberoi Realty Limited (OBEROIRLTY) -16%

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.