Data Communications Management Stock Price To Sales
| DCM Stock | CAD 2.95 0.10 3.51% |
Data Communications Management fundamentals help investors to digest information that contributes to Data Communications' financial success or failures. It also enables traders to predict the movement of Data Stock. The fundamental analysis module provides a way to measure Data Communications' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Data Communications stock.
| Last Reported | Projected for Next Year | ||
| Price To Sales Ratio | 0.30 | 0.26 |
Data | Price To Sales |
Data Communications Management Company Price To Sales Analysis
Data Communications' Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.
Current Data Communications Price To Sales | 0.38 X |
Most of Data Communications' fundamental indicators, such as Price To Sales, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Data Communications Management is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Data Price To Sales Driver Correlations
Understanding the fundamental principles of building solid financial models for Data Communications is extremely important. It helps to project a fair market value of Data Stock properly, considering its historical fundamentals such as Price To Sales. Since Data Communications' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Data Communications' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Data Communications' interrelated accounts and indicators.
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The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.
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Data Price To Sales Ratio
Price To Sales Ratio |
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Based on the latest financial disclosure, Data Communications Management has a Price To Sales of 0.3773 times. This is 98.64% lower than that of the Commercial Services & Supplies sector and 91.67% lower than that of the Industrials industry. The price to sales for all Canada stocks is 96.7% higher than that of the company.
Data Price To Sales Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data Communications' direct or indirect competition against its Price To Sales to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Data Communications could also be used in its relative valuation, which is a method of valuing Data Communications by comparing valuation metrics of similar companies.Data Communications is currently under evaluation in price to sales category among its peers.
Data Communications Current Valuation Drivers
We derive many important indicators used in calculating different scores of Data Communications from analyzing Data Communications' financial statements. These drivers represent accounts that assess Data Communications' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Data Communications' important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 5.2M | 27.2M | 56.3M | 63.9M | 133.2M | 139.8M | |
| Enterprise Value | 211.0M | 122.8M | 130.8M | 126.5M | 372.7M | 391.3M |
Data Fundamentals
| Return On Equity | -0.42 | ||||
| Return On Asset | 0.0746 | ||||
| Profit Margin | (0.02) % | ||||
| Operating Margin | 0.09 % | ||||
| Current Valuation | 390.16 M | ||||
| Shares Outstanding | 55.24 M | ||||
| Shares Owned By Insiders | 22.44 % | ||||
| Shares Owned By Institutions | 6.99 % | ||||
| Number Of Shares Shorted | 17.49 K | ||||
| Price To Earning | 312.50 X | ||||
| Price To Book | 5.87 X | ||||
| Price To Sales | 0.38 X | ||||
| Revenue | 447.73 M | ||||
| Gross Profit | 84.22 M | ||||
| EBITDA | 43.07 M | ||||
| Net Income | (15.85 M) | ||||
| Cash And Equivalents | 4.21 M | ||||
| Cash Per Share | 0.14 X | ||||
| Total Debt | 7.9 M | ||||
| Current Ratio | 1.15 X | ||||
| Book Value Per Share | 0.65 X | ||||
| Cash Flow From Operations | 32.8 M | ||||
| Short Ratio | 0.41 X | ||||
| Earnings Per Share | (0.23) X | ||||
| Target Price | 5.58 | ||||
| Number Of Employees | 1.8 K | ||||
| Beta | 3.53 | ||||
| Market Capitalization | 157.44 M | ||||
| Total Asset | 418.75 M | ||||
| Retained Earnings | (258.5 M) | ||||
| Working Capital | 64.52 M | ||||
| Net Asset | 418.75 M |
About Data Communications Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data Communications Management's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Communications using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Communications Management based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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Data Communications financial ratios help investors to determine whether Data Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Data with respect to the benefits of owning Data Communications security.