Hilan Ltd (HLAN) Fair Value & Analysis
Technology · Il · Market cap 4.9B ILA
Fair value as of: Jun 24, 2026
Analysis
Hilan Ltd (HLAN) currently trades at 196.90 ILA, while our model-based Fair Value estimate is 227.65 ILA — implying the stock looks roughly 15.6% undervalued today. We read business quality at 94/100 (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
Hilan Ltd., a software as a service (SaaS) provider, develops solutions for management of enterprise human capital in Israel. The company offers payroll management, employee self service, 101 e-Form, payroll control, contractors' employees control, and SAP payroll solutions, as well as digital reporting of reimbursement of expenses; and time and attendance management, Hilanet time and attendance web portal, Hilan mobile, work scheduling, and project management solutions. It also provides pension operation management, pension direct clearing, pension table-rule and multiple agents management, management of severance pay balances, and pension control; Hilan Bi, simulations, and compliance control; payroll, and time and attendance managed services; and HR solutions. In addition, the company is involved in the provision of IT services; IT solutions, including big data, data storage, backup and virtualization, cloud SaaS, and data and cyber security; platform; insurance benefits to emplo…
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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.