ILearningEngines, Company Insiders
AILE Stock | 0.97 0.03 3.07% |
ILearningEngines, employs about 101 people. The company is managed by 12 executives with a total tenure of roughly 236 years, averaging almost 19.0 years of service per executive, having 8.42 employees per reported executive. Evaluation of ILearningEngines,'s management performance can provide insight into the firm performance.
ILearningEngines, |
ILearningEngines, Management Team Effectiveness
The current year's Return On Tangible Assets is expected to grow to -0.09. In addition to that, Return On Capital Employed is expected to decline to 0.53. At present, ILearningEngines,'s Total Current Assets are projected to increase significantly based on the last few years of reporting. The current year's Debt To Assets is expected to grow to 2.28, whereas Non Current Assets Total are forecasted to decline to about 23.3 M. ILearningEngines,'s management efficiency ratios could be used to measure how well ILearningEngines, manages its routine affairs as well as how well it operates its assets and liabilities.As of December 19, 2024, Common Stock Shares Outstanding is expected to decline to about 53.3 M
ILearningEngines, Workforce Comparison
iLearningEngines, is number one stock in number of employees category among its peers. The total workforce of Information Technology industry is presently estimated at about 96,649. ILearningEngines, adds roughly 101 in number of employees claiming only tiny portion of equities under Information Technology industry.
ILearningEngines, Profit Margins
The company has Profit Margin (PM) of (0.71) %, 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 (0.63) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.63.Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
---|---|---|---|---|---|---|---|---|---|
Gross Profit Margin | 0.77 | 0.6858 |
|
|
ILearningEngines, Insider Trading
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific ILearningEngines, insiders, such as employees or executives, is commonly permitted as long as it does not rely on ILearningEngines,'s material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases, ILearningEngines, insiders must file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Olivier Thomas over three months ago Disposition of 1303127 shares by Olivier Thomas of ILearningEngines, subject to Rule 16b-3 | ||
Naqvi Sayyed Farhan over six months ago Disposition of 535368 shares by Naqvi Sayyed Farhan of ILearningEngines, at 8.26 subject to Rule 16b-3 |
ILearningEngines, Notable Stakeholders
An ILearningEngines, stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as ILearningEngines, often face trade-offs trying to please all of them. ILearningEngines,'s stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting ILearningEngines,'s stock to the level that pleases all shareholders. Keeping track of the stakeholders is a great way to stay on top of things affecting its ongoing price.
Puthugramam Chidambaran | CEO Chairman | Profile | |
Balakrishnan P | Chief President | Profile | |
Thomas Olivier | COO Director | Profile | |
Vivek Chary | Vice Operations | Profile | |
David Samuels | Executive Officer | Profile | |
Ramakrishnan Parameswaran | Senior Products | Profile | |
Priya Pinto | Assistant Marketing | Profile | |
Sanjeev Menon | Chief Architect | Profile | |
Sayyed Naqvi | Treasurer Development | Profile | |
BonnieJeanne Gerety | Interim Officer | Profile | |
David JD | Executive Officer | Profile | |
Ratish Nair | Assistant Development | Profile |
About ILearningEngines, Management Performance
The success or failure of an entity such as iLearningEngines, often depends on how effective the management is. ILearningEngines, management team is responsible for propelling the future growth in the right direction and administering and controlling the business activities and accounting for the results. Ineffective management usually contributes to failure in the company's future performance for all stakeholders equally, but most importantly, for investors. So it is important to measure the effectiveness of ILearningEngines, management before purchasing its stock. In many ways, it's all about finding the answer to one important question - Are they doing the right thing right now? How would we assess whether the ILearningEngines, management is utilizing all available resources in the best possible way? Also, how well is the company doing relative to others in its sector and the market as a whole? The answer can be found by analyzing a few important fundamental indicators such as return on assets and return on equity.
Last Reported | Projected for Next Year | ||
Return On Tangible Assets | (0.09) | (0.09) | |
Return On Capital Employed | 0.56 | 0.53 | |
Return On Assets | (0.09) | (0.09) | |
Return On Equity | (0.20) | (0.19) |
Please note, the presentation of ILearningEngines,'s financial position, as portrayed in its financial statements, is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, ILearningEngines,'s management is honest, while the outside auditors are strict and uncompromising. Please utilize our Beneish M Score to check the likelihood of ILearningEngines,'s management manipulating its earnings.
ILearningEngines, Workforce Analysis
Traditionally, organizations such as ILearningEngines, use manpower efficiency calculations for various incentive schemes, employee appraisal, or as an initiative to improve the processes. However, it can also be used by investors to make long-term investment decisions. The trends in the profit per employee or revenue per employee are measured by net income or revenue divided by the current number of full-time employees over a given time interval. Because workforce needs differ across sectors, these ratios could be used to compare ILearningEngines, within its industry.ILearningEngines, Manpower Efficiency
Return on ILearningEngines, Manpower
Revenue Per Employee | 4.2M | |
Revenue Per Executive | 35M | |
Net Loss Per Employee | 43.6K | |
Net Loss Per Executive | 367.2K | |
Working Capital Per Employee | 294.1K | |
Working Capital Per Executive | 2.5M |
Complementary Tools for ILearningEngines, Stock analysis
When running ILearningEngines,'s price analysis, check to measure ILearningEngines,'s market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy ILearningEngines, is operating at the current time. Most of ILearningEngines,'s value examination focuses on studying past and present price action to predict the probability of ILearningEngines,'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ILearningEngines,'s price. Additionally, you may evaluate how the addition of ILearningEngines, to your portfolios can decrease your overall portfolio volatility.
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |