Data Historical Financial Ratios
| DCM Stock | CAD 1.98 0.01 0.51% |
Data Communications is recently reporting on over 95 different financial statement accounts. To analyze all of these accounts together requires a lot of time and effort. However, using these accounts to derive some meaningful and actionable indicators such as PTB Ratio of 4.86 or Days Sales Outstanding of 103 will help investors to properly organize and evaluate Data Communications financial condition quickly.
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About Data Financial Ratios Analysis
Data CommunicationsFinancial ratios are relationships based on a company's financial information. They can serve as useful tools to evaluate Data Communications investment potential. Financial ratio analysis can also be defined as the process of presenting financial ratios, which are mathematical indicators calculated by comparing key financial information appearing on Data financial statements. Financial ratios are useful tools that help investors analyze and compare relationships between different pieces of financial information across Data Communications history.
Data Communications Financial Ratios Chart
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Price To Sales Ratio
Price to Sales Ratio is figured by comparing Data Communications stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Data Communications sales, a figure that is much harder to manipulate than other Data Communications Management multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period.Dividend Yield
Dividend Yield is Data Communications Management dividend as a percentage of Data Communications stock price. Data Communications dividend yield is a measure of Data Communications stock productivity, which can be interpreted as interest rate earned on an Data Communications investment. A financial ratio that shows how much a company pays out in dividends each year relative to its stock price, calculated as annual dividends per share divided by price per share.Average Payables
The average amount owed to suppliers and creditors over a specific period, reflecting the company's payment cycle and credit terms with suppliers.Most ratios from Data Communications' fundamentals are interrelated and interconnected. However, analyzing fundamentals ratios one by one will only give a small insight into Data Communications current financial condition. On the other hand, looking into the entire matrix of fundamentals ratios, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data Communications Management. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. At this time, Data Communications' ROIC is very stable compared to the past year. As of the 29th of November 2024, Days Of Inventory On Hand is likely to grow to 53.55, while Price To Sales Ratio is likely to drop 0.26.
| 2023 | 2024 (projected) | Dividend Yield | 0.53 | 0.56 | Price To Sales Ratio | 0.3 | 0.26 |
Data Communications fundamentals Correlations
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Data Communications Account Relationship Matchups
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Data Communications fundamentals Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Price To Sales Ratio | 0.0183 | 0.1 | 0.24 | 0.23 | 0.3 | 0.26 | |
| Ptb Ratio | (4.98) | 2.73 | 7.0 | 2.8 | 4.63 | 4.86 | |
| Days Sales Outstanding | 111.55 | 91.9 | 81.31 | 72.85 | 98.31 | 103.23 | |
| Book Value Per Share | (0.0482) | 0.23 | 0.18 | 0.52 | 0.57 | 0.54 | |
| Free Cash Flow Yield | (1.11) | 1.72 | 0.42 | 0.33 | 0.21 | 0.38 | |
| Operating Cash Flow Per Share | 0.78 | (0.0376) | 1.1 | 0.61 | 0.51 | 0.65 | |
| Stock Based Compensation To Revenue | 6.72E-4 | 2.08E-4 | 0.002074 | 0.001198 | 0.001508 | 9.14E-4 | |
| Capex To Depreciation | 0.88 | 0.29 | 0.0517 | 0.21 | 0.2 | 0.25 | |
| Pb Ratio | (4.98) | 2.73 | 7.0 | 2.8 | 4.63 | 4.86 | |
| Ev To Sales | 0.3 | 0.75 | 0.47 | 0.56 | 0.46 | 0.83 | |
| Free Cash Flow Per Share | (0.27) | 1.08 | 0.54 | 0.48 | 0.56 | 0.53 | |
| Roic | 0.0159 | 0.33 | 0.25 | 0.38 | 0.17 | 0.18 | |
| Inventory Turnover | 16.98 | 21.89 | 13.66 | 9.38 | 11.4 | 7.65 | |
| Net Income Per Share | (0.65) | 0.31 | 0.0356 | 0.32 | (0.31) | (0.33) | |
| Days Of Inventory On Hand | 21.5 | 16.67 | 26.71 | 38.93 | 32.01 | 53.55 | |
| Payables Turnover | 4.32 | 5.12 | 4.41 | 5.34 | 5.13 | 7.67 | |
| Sales General And Administrative To Revenue | 0.0928 | 0.12 | 0.13 | 0.1 | 0.11 | 0.0658 | |
| Capex To Revenue | 0.0174 | 0.003235 | 0.0137 | 0.005646 | 0.009714 | 0.00872 | |
| Pocfratio | (6.39) | 0.57 | 2.09 | 2.82 | 4.06 | 3.44 | |
| Interest Coverage | 0.19 | 3.99 | 3.19 | 5.38 | 2.07 | 1.57 | |
| Capex To Operating Cash Flow | 0.45 | (6.06) | 0.0176 | 0.0682 | 0.13 | 0.14 | |
| Pfcf Ratio | (0.9) | 0.58 | 2.37 | 3.02 | 4.68 | 3.56 | |
| Days Payables Outstanding | 84.45 | 71.27 | 82.75 | 68.3 | 71.11 | 44.73 | |
| Income Quality | 0.058 | 4.14 | 17.22 | 1.62 | (2.07) | (1.97) | |
| Roe | 13.44 | 1.34 | 0.19 | 0.61 | (0.55) | (0.52) | |
| Ev To Operating Cash Flow | (260.22) | 2.58 | 4.85 | 5.58 | 11.36 | 11.93 | |
| Pe Ratio | (0.37) | 2.04 | 35.98 | 4.57 | (8.4) | (7.98) | |
| Return On Tangible Assets | (0.078) | 0.1 | 0.0131 | 0.11 | (0.0411) | (0.0431) | |
| Ev To Free Cash Flow | (36.86) | 2.62 | 5.51 | 5.99 | 13.1 | 13.75 | |
| Earnings Yield | 0.0766 | (2.7) | 0.49 | 0.0278 | 0.22 | (0.12) | |
| Intangibles To Total Assets | 0.16 | 0.19 | 0.15 | 0.13 | 0.0785 | 0.0746 | |
| Net Debt To E B I T D A | 28.5 | 2.55 | 2.2 | 1.74 | 16.4 | 17.22 | |
| Current Ratio | 1.38 | 1.25 | 1.08 | 1.18 | 1.55 | 1.88 | |
| Tangible Book Value Per Share | (1.68) | (0.5) | (0.29) | 0.0764 | (0.081) | (0.085) | |
| Receivables Turnover | 3.27 | 3.97 | 4.49 | 5.01 | 3.71 | 7.38 | |
| Graham Number | 0.84 | 1.27 | 0.38 | 1.92 | 1.99 | 1.89 | |
| Shareholders Equity Per Share | (0.0482) | 0.23 | 0.18 | 0.52 | 0.57 | 0.54 |
Pair Trading with Data Communications
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Data Communications position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Data Communications will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Data Communications could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Communications when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Data Communications - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Data Communications Management to buy it.
The correlation of Data Communications is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Data Communications moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Communications moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Data Communications can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Data Stock
Data CommunicationsFinancial ratios are relationships based on a company's financial information. They can serve as useful tools to evaluate Data Communications investment potential. Financial ratio analysis can also be defined as the process of presenting financial ratios, which are mathematical indicators calculated by comparing key financial information appearing on Data financial statements. Financial ratios are useful tools that help investors analyze and compare relationships between different pieces of financial information across Data Communications history.