James Tevis - Data Call CTO Engineer

DCLT Stock

USD 0 0 62.07%

Insider

James Tevis is CTO Engineer of Data Call Technologi

Phone	832 230 2376
Web	https://www.datacalltech.com

Data Call Management Efficiency

The company has return on total asset (ROA) of 0.034 % which means that it generated a profit of $0.034 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.4686 %, meaning that it created $0.4686 on every $100 dollars invested by stockholders. Data Call's management efficiency ratios could be used to measure how well Data Call manages its routine affairs as well as how well it operates its assets and liabilities.

Compare Data Call to Peers

Predict price of Data Call

Data Call Technologi currently holds 2.69 K in liabilities with Debt to Equity (D/E) ratio of 0.04, which may suggest the company is not taking enough advantage from borrowing. Data Call Technologi has a current ratio of 3.21, suggesting that it is liquid enough and is able to pay its financial obligations when due. Debt can assist Data Call until it has trouble settling it off, either with new capital or with free cash flow. So, Data Call's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Data Call Technologi sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Data to invest in growth at high rates of return. When we think about Data Call's use of debt, we should always consider it together with cash and equity.

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Data Call Technologies, Inc. provides real-time informationcontent through digital signage and kiosk networks in the United States. Data Call Technologies, Inc. was incorporated in 2002 and is based in Friendswood, Texas. Data Call operates under SoftwareInfrastructure classification in the United States and is traded on OTC Exchange. It employs 3 people. Data Call Technologi [DCLT] is a Pink Sheet which is traded through a dealer network over-the-counter (OTC).

Management Performance

	Return On Equity	0.47
	Return On Asset	0.034

Data Call Technologi Management Team

Elected by the shareholders, the Data Call's board of directors comprises two types of representatives: Data Call inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Data. The board's role is to monitor Data Call's management team and ensure that shareholders' interests are well served. Data Call's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Data Call's outside directors are responsible for providing unbiased perspectives on the board's policies.

	James Tevis, CTO Engineer
	Timothy Vance, Co-Founder, CEO and President COO and Director
	Gary Woerz, CFO and Director

Data Stock Performance Indicators

The ability to make a profit is the ultimate goal of any investor. But to identify the right pink sheet is not an easy task. Is Data Call a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.

	Return On Equity	0.47
	Return On Asset	0.034
	Profit Margin	0.04 %
	Operating Margin	0.01 %
	Current Valuation	1.21 M
	Shares Outstanding	157.5 M
	Shares Owned By Insiders	24.69 %
	Price To Book	18.48 X
	Price To Sales	1.68 X
	Revenue	580.23 K

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Additional Tools for Data Pink Sheet Analysis

When running Data Call's price analysis, check to measure Data Call'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 Data Call is operating at the current time. Most of Data Call's value examination focuses on studying past and present price action to predict the probability of Data Call's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Call's price. Additionally, you may evaluate how the addition of Data Call to your portfolios can decrease your overall portfolio volatility.

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