Seeing Machines Company Top Insiders
| SEEMF Stock | USD 0.06 0.01 17.96% |
Seeing Machines employs about 266 people. The company is managed by 10 executives with a total tenure of roughly 5 years, averaging almost 0.0 years of service per executive, having 26.6 employees per reported executive. Examination of Seeing Machines' management performance can provide insight into the company performance.
| Paul McGlone CEO CEO Director |
Seeing |
Seeing Machines Management Team Effectiveness
The company has return on total asset (ROA) of (0.1457) % which means that it has lost $0.1457 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of (0.2827) %, meaning that it generated substantial loss on money invested by shareholders. Seeing Machines' management efficiency ratios could be used to measure how well Seeing Machines manages its routine affairs as well as how well it operates its assets and liabilities.Seeing Machines Workforce Comparison
Seeing Machines Limited is currently regarded as top stock in number of employees category among its peers. The total workforce of Software—Infrastructure industry is at this time estimated at about 43,496. Seeing Machines maintains roughly 266 in number of employees contributing less than 1% to equities listed under Software—Infrastructure industry.
The company has Profit Margin (PM) of (0.47) %, 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 (0.49) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.49. Seeing Machines Benchmark Summation
Operator |
The output start index for this execution was zero with a total number of output elements of sixty-one. Seeing Machines Price Series Summation is a cross summation of Seeing Machines price series and its benchmark/peer.
Seeing Machines Notable Stakeholders
A Seeing Machines stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as Seeing Machines often face trade-offs trying to please all of them. Seeing Machines' stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting Seeing Machines' 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.
| Paul McGlone | CEO Director | Profile | |
| Susan Dalliston | G Sec | Profile | |
| Anthony Borgo | Chief Officer | Profile | |
| Mike Lenne | Chief Officer | Profile | |
| Sebastian Rougeaux | Chief Scientific Officer and Principal Research Scientist | Profile | |
| Nicolas Difiore | VP Automotive | Profile | |
| Martin Ive | Chief Officer | Profile | |
| Daniel Edmunds | VP Engineering | Profile | |
| Glen Brennan | Head Culture | Profile | |
| Timothy Edwards | CoFounder Strategy | Profile |
About Seeing Machines Management Performance
The success or failure of an entity such as Seeing Machines often depends on how effective the management is. Seeing Machines 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 Seeing 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 Seeing 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.
Seeing Machines Limited, together with its subsidiaries, provides driver monitoring technologies in Australia, North America, the Asia Pacific, Europe, and internationally. The company was incorporated in 2000 and is headquartered in Fyshwick, Australia. Seeing Machines operates under SoftwareInfrastructure classification in the United States and is traded on OTC Exchange. It employs 213 people.
Seeing Machines Workforce Analysis
Traditionally, organizations such as Seeing Machines 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 Seeing Machines within its industry.Seeing Machines Manpower Efficiency
Return on Seeing Machines Manpower
| Revenue Per Employee | 204.6K | |
| Revenue Per Executive | 5.4M | |
| Net Loss Per Employee | 95.2K | |
| Net Loss Per Executive | 2.5M | |
| Working Capital Per Employee | 109K | |
| Working Capital Per Executive | 2.9M |
Complementary Tools for Seeing Pink Sheet analysis
When running Seeing Machines' price analysis, check to measure Seeing Machines' 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 Seeing Machines is operating at the current time. Most of Seeing Machines' value examination focuses on studying past and present price action to predict the probability of Seeing Machines' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Seeing Machines' price. Additionally, you may evaluate how the addition of Seeing Machines to your portfolios can decrease your overall portfolio volatility.
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