Jerusalem Technology (Israel) Management Performance Evaluation

Analysis of Jerusalem Technology manpower and management performance can provide insight into Jerusalem Technology stock performance. Also an employee sentiment is becoming a valuable factor that investors can use to determine the amount of risk that may be associated with Jerusalem Technology future performance. Please also check Risk vs Return Analysis.

Jerusalem Technology Management Effectiveness

The company has return on total asset (ROA) of (10.81) % which means that it has lost $10.81 on every $100 spent on asset. This is way below average.

Jerusalem Technology Profit Margins

The company has Profit Margin (PM) of (247.15) % which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of 978.04 % which suggests for every 100 dollars of sales it generated a net operating income of 9.78.

Jerusalem Technology Stakeholders

Ifat Leibovich Vice President - Operations
Ronen Zalayet CFO
Efrat Ardman External Director
Boaz Yehuda Independent Director
Baruch Adiv Director
Jack Winnett External Director
Eliahu Netanel Finance Director
Ada RonenLazebnik External Director
Samuel HaCohen

Jerusalem Technology Leadership

Jerusalem Technology Top Executives

  Ifat Leibovich  President
Vice President - Operations

Jerusalem Technology Tenure Analysis

Jerusalem Technology Employment Tenure

Jerusalem Technology employes about 7 people. The company is managed by 9 executives with total tenure of roughly 27 years, averanging almost 3.0 years of service per executive having 0.0 employee per reported executive.

Jerusalem Technology Manpower Efficiency

Return on Jerusalem Technology Manpower

Revenue Per Employee-97571.43
Revenue Per Executive-75888.89
Net Loss Per Employee2.8 M
Net Loss Per Executive2.2 M
Please also check Risk vs Return Analysis. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.