Data Communications Management Stock Today

Data Stock Highlights

Data Communications Historical Income Statement

At this time, Data Communications' Income Tax Expense is very stable compared to the past year. As of the 5th of February 2026, Net Income From Continuing Ops is likely to grow to about 4.3 M, while Depreciation And Amortization is likely to drop about 15.5 M. View More Fundamentals

Data Stock Against Markets

Data Stock Analysis Notes

About 22.0% of the company shares are held by company insiders. The book value of Data Communications was currently reported as 0.72. The company has Price/Earnings (P/E) ratio of 312.5. Data Communications last dividend was issued on the 17th of December 2025. The entity had 1:100 split on the 7th of July 2016. DATA Communications Management Corp. provides business communication solutions in North America. DATA Communications Management Corp. was founded in 1959 and is based in Brampton, Canada. DATA COMMUNICATIONS operates under Business Services classification in Canada and is traded on Toronto Stock Exchange. It employs 1250 people. To learn more about Data Communications Management call Richard Kellam at 905 791 3151 or check out https://www.datacm.com.

Data Communications Investment Alerts

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Data Communications Thematic Classifications

Data Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 87.91 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Data Communications's market, we take the total number of its shares issued and multiply it by Data Communications's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Data Profitablity

The company has Profit Margin (PM) of 0.02 %, 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 0.05 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.05.

Management Efficiency

Data Communications has return on total asset (ROA) of 0.0581 % which means that it generated a profit of $0.0581 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.2687 %, meaning that it generated $0.2687 on every $100 dollars invested by stockholders. Data Communications' management efficiency ratios could be used to measure how well Data Communications manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Data Communications' Return On Tangible Assets are very stable compared to the past year. As of the 5th of February 2026, Return On Assets is likely to grow to 0.01, while Return On Capital Employed is likely to drop 0.12. At this time, Data Communications' Non Currrent Assets Other are very stable compared to the past year. As of the 5th of February 2026, Net Tangible Assets is likely to grow to about 4.1 M, while Total Assets are likely to drop about 190.8 M.

Technical Drivers

As of the 5th of February, Data Communications shows the Mean Deviation of 2.08, coefficient of variation of 897.96, and Downside Deviation of 2.65. Data Communications technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.

Data Communications Price Movement Analysis

Data Communications Outstanding Bonds

Data Communications Predictive Daily Indicators

Data Communications Forecast Models

Data Communications' time-series forecasting models are one of many Data Communications' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Data Communications' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.