Data Patterns (India) Insiders
DATAPATTNS | 1,693 36.80 2.13% |
Data Patterns employs about 1.3 K people. The company is managed by 15 executives with a total tenure of roughly 3139 years, averaging almost 209.0 years of service per executive, having 89.67 employees per reported executive. Breaking down Data Patterns' management performance can provide insight into the firm performance.
Srinivasagopalan Rangarajan Chairman MD Chairman |
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Data Patterns Management Team Effectiveness
The company has return on total asset (ROA) of 0.0822 % which means that it generated a profit of $0.0822 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.1459 %, meaning that it generated $0.1459 on every $100 dollars invested by stockholders. Data Patterns' management efficiency ratios could be used to measure how well Data Patterns manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Data Patterns' Total Current Liabilities is comparatively stable compared to the past year. Liabilities And Stockholders Equity is likely to gain to about 20.4 B in 2025, whereas Non Current Liabilities Total is likely to drop slightly above 189.5 M in 2025.Net Income Applicable To Common Shares is likely to gain to about 1.1 B in 2025, whereas Common Stock Shares Outstanding is likely to drop slightly above 55.3 M in 2025.
Data Patterns Workforce Comparison
Data Patterns Limited is one of the top stocks in number of employees category among its peers. The total workforce of Industrials industry is currently estimated at about 85,049. Data Patterns claims roughly 1,345 in number of employees contributing just under 2% to equities under Industrials industry.
The company has Profit Margin (PM) of 0.36 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.43 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.43. Data Patterns Limited Benchmark Summation
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The output start index for this execution was zero with a total number of output elements of sixty-one. Data Patterns Limited Price Series Summation is a cross summation of Data Patterns price series and its benchmark/peer.
Data Patterns Notable Stakeholders
A Data Patterns stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as Data Patterns often face trade-offs trying to please all of them. Data Patterns' stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting Data Patterns' 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.
Srinivasagopalan Rangarajan | MD Chairman | Profile | |
Rekha Rangarajan | Wholetime Director | Profile | |
Vijay K | COO Director | Profile | |
Soundararajan | Senior Marketing | Profile | |
Kuppuswamy | Vice Development | Profile | |
Thomas Susikaran | Senior Development | Profile | |
Manvi Bhasin | Company Officer | Profile | |
R Karthick | Sr Devel | Profile | |
Nandaki Ramachandracharya | Deputy System | Profile | |
Lakshminarayanan V | Vice Development | Profile | |
Prakash R | Company Officer | Profile | |
Prakash Raja | Company Officer | Profile | |
Venkata Venkatachalam | Chief Officer | Profile | |
Subramaniam Tirunavukkarasu | Vice Technology | Profile | |
Desingurajan Parthasarthy | Chief Officer | Profile |
About Data Patterns Management Performance
The success or failure of an entity such as Data Patterns Limited often depends on how effective the management is. Data Patterns 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 Data 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 Data 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.
Data Patterns is entity of India. It is traded as Stock on NSE exchange.
Please note, the imprecision that can be found in Data Patterns' accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Data Patterns Limited. Check Data Patterns' Beneish M Score to see the likelihood of Data Patterns' management manipulating its earnings.
Data Patterns Workforce Analysis
Traditionally, organizations such as Data Patterns 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 Data Patterns within its industry.Data Patterns Manpower Efficiency
Return on Data Patterns Manpower
Revenue Per Employee | 3.9M | |
Revenue Per Executive | 346.5M | |
Net Income Per Employee | 1.4M | |
Net Income Per Executive | 121.1M | |
Working Capital Per Employee | 7.8M | |
Working Capital Per Executive | 700.4M |
Additional Tools for Data Stock Analysis
When running Data Patterns' price analysis, check to measure Data Patterns' 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 Data Patterns is operating at the current time. Most of Data Patterns' value examination focuses on studying past and present price action to predict the probability of Data Patterns' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Patterns' price. Additionally, you may evaluate how the addition of Data Patterns to your portfolios can decrease your overall portfolio volatility.