Fairvalue-Calculator Fairvalue-Calculator

Malam - Team Ltd (MLTM) Fair Value & Analysis

Technology · Il · Market cap 1.7B ILA

Price74.55 ILA
Fair Value105.12 ILA
Upside+41.0%
Quality95/100
Evidence: High Range 69.09 ILA – 131.40 ILA

Analysis

Malam - Team Ltd (MLTM) currently trades at 74.55 ILA, while our model-based Fair Value estimate is 105.12 ILA — implying the stock looks roughly 41.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Malam - Team Ltd provides end-to-end computing solutions in the field of information technology in Israel. It operates through Infrastructure and Cloud; Software, Projects, Business Solutions, and AI; Payroll Services, Human Resources, and Long-Term Savings; and Establishment and Investment in Start-up Companies segments. The company offers various solutions, such as IT and communication, software products, enterprise systems, cyber security, systems integration and development, digital, data and AI, and managed services. It also provides software development and outsourcing services, cloud solutions, and pension and provident fund services, as well as payroll, attendance, and HR solutions. Malam - Team Ltd was incorporated in 1972 and is headquartered in Petah Tikva, Israel.

Open the full interactive analysis →

Similar stocks

International Business Machines Corporation (IBM) -36% Accenture plc (ACN) +28% Tata Consultancy Services Limited (TCS) +22% Infosys Limited (INFY) +14% Fujitsu Limited (FJTSF) +1% NEC Corporation (NIPNF) -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.