Seeing Machines (UK) Top Management

SEE Stock   3.47  0.07  2.06%   
Seeing Machines employs about 421 people. The company is managed by 18 executives with a total tenure of roughly 983 years, averaging almost 54.0 years of service per executive, having 23.39 employees per reported executive. Evaluation of Seeing Machines' management performance can provide insight into the firm performance.
Paul McGlone  CEO
CEO Director
Raj JD  Chairman
Chairman, Founder
  
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Seeing Machines Management Team Effectiveness

The company has return on total asset (ROA) of (0.1278) % which means that it has lost $0.1278 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of (0.6043) %, 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. At present, Seeing Machines' Non Current Assets Total are projected to increase significantly based on the last few years of reporting. The current year's Non Currrent Assets Other is expected to grow to about 52.9 M, whereas Total Current Assets are forecasted to decline to about 40.2 M.
The current year's Common Stock Shares Outstanding is expected to grow to about 4.4 B, whereas Net Loss is forecasted to decline to (14.7 M).

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 Information Technology industry is at this time estimated at about 63,855. Seeing Machines maintains roughly 421 in number of employees contributing less than 1% to equities under Information Technology industry.
The company has Profit Margin (PM) of (0.46) %, 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 (0.23) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.23.

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.
Sebastian RougeauxCoFounder OfficerProfile
Timothy EdwardsCoFounder StrategyProfile
Paul McGloneCEO DirectorProfile
Raj JDChairman, FounderProfile
Karen FusaroVP OperationsProfile
Gopal KrishnaHead OperationsProfile
Nicholas DiFioreSenior AutomotiveProfile
Michael GolembiewskiChief OfficerProfile
Susan DallistonGeneral SecretaryProfile
Kimberly FarrandSr OperationsProfile
Anthony BorgoSenior OperationsProfile
Gary CollinsSenior AutomotiveProfile
Daniel EdmundsSenior EngineeringProfile
Tim MDChief OfficerProfile
Mike LenneChief OfficerProfile
Anthony MarcianoChief OfficerProfile
Martin IveChief OfficerProfile
Glen BrennanHead CultureProfile

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 is entity of United Kingdom. It is traded as Stock on LSE exchange.
Please note, the presentation of Seeing Machines' financial position, as portrayed in its financial statements, is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Seeing Machines' management is honest, while the outside auditors are strict and uncompromising. Please utilize our Beneish M Score to check the likelihood of Seeing Machines' management manipulating its earnings.

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 Employee160.6K
Revenue Per Executive3.8M
Net Loss Per Employee74.3K
Net Loss Per Executive1.7M
Working Capital Per Employee69.1K
Working Capital Per Executive1.6M

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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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