Data Price To Sales Ratio vs Capex To Revenue Analysis

DCM Stock  CAD 1.99  0.10  5.29%   
Data Communications financial indicator trend analysis is much more than just examining Data Communications latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Data Communications is a good investment. Please check the relationship between Data Communications Price To Sales Ratio and its Capex To Revenue accounts. 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.

Price To Sales Ratio vs Capex To Revenue

Price To Sales Ratio vs Capex To Revenue Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Data Communications Price To Sales Ratio account and Capex To Revenue. At this time, the significance of the direction appears to have significant contrarian relationship.
The correlation between Data Communications' Price To Sales Ratio and Capex To Revenue is -0.26. Overlapping area represents the amount of variation of Price To Sales Ratio that can explain the historical movement of Capex To Revenue in the same time period over historical financial statements of Data Communications Management, assuming nothing else is changed. The correlation between historical values of Data Communications' Price To Sales Ratio and Capex To Revenue is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Price To Sales Ratio of Data Communications Management are associated (or correlated) with its Capex To Revenue. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Capex To Revenue has no effect on the direction of Price To Sales Ratio i.e., Data Communications' Price To Sales Ratio and Capex To Revenue go up and down completely randomly.

Correlation Coefficient

-0.26
Relationship DirectionNegative 
Relationship StrengthInsignificant

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.

Capex To Revenue

The ratio of a company's capital expenditures to its total revenue, indicating how much of the revenue is used for acquiring or maintaining physical assets.
Most indicators from Data Communications' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators 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 fundamental ratios indicators, 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' Selling General Administrative is very stable compared to the past year. As of the 26th of November 2024, Issuance Of Capital Stock is likely to grow to about 25.4 M, though Tax Provision is likely to grow to (6.3 M).
 2021 2022 2023 2024 (projected)
Interest Expense5.8M5.0M15.3M16.1M
Depreciation And Amortization15.2M11.2M21.7M22.8M

Data Communications fundamental ratios Correlations

0.710.270.440.880.710.020.530.330.97-0.180.330.780.390.950.080.840.090.910.80.730.070.840.2-0.1-0.2
0.710.68-0.170.890.81-0.530.650.170.540.30.170.850.590.77-0.040.9-0.290.880.850.72-0.260.84-0.45-0.120.32
0.270.68-0.50.550.6-0.690.82-0.040.10.36-0.040.610.550.35-0.130.47-0.530.520.560.73-0.520.45-0.65-0.170.7
0.44-0.17-0.50.03-0.260.87-0.280.350.62-0.550.35-0.11-0.30.180.220.090.780.050.01-0.050.710.050.920.14-0.45
0.880.890.550.030.89-0.40.720.270.760.210.270.930.710.92-0.160.87-0.170.970.960.76-0.160.95-0.27-0.280.09
0.710.810.6-0.260.89-0.590.75-0.040.560.31-0.040.920.610.86-0.190.73-0.410.910.810.74-0.370.89-0.45-0.290.09
0.02-0.53-0.690.87-0.4-0.59-0.550.220.24-0.490.22-0.52-0.63-0.220.29-0.280.84-0.37-0.42-0.320.8-0.310.960.3-0.47
0.530.650.82-0.280.720.75-0.55-0.150.40.23-0.150.810.70.62-0.360.51-0.350.690.710.87-0.330.64-0.45-0.480.23
0.330.17-0.040.350.27-0.040.22-0.150.35-0.11.0-0.070.110.230.490.420.170.210.340.10.070.20.230.5-0.01
0.970.540.10.620.760.560.240.40.35-0.310.350.640.270.870.10.720.260.80.690.620.240.740.41-0.08-0.32
-0.180.30.36-0.550.210.31-0.490.23-0.1-0.31-0.10.230.41-0.05-0.430.08-0.080.060.240.02-0.030.36-0.65-0.190.46
0.330.17-0.040.350.27-0.040.22-0.151.00.35-0.1-0.070.110.230.490.420.170.210.340.10.070.20.230.5-0.01
0.780.850.61-0.110.930.92-0.520.81-0.070.640.23-0.070.750.86-0.370.74-0.290.920.880.75-0.250.88-0.39-0.50.11
0.390.590.55-0.30.710.61-0.630.70.110.270.410.110.750.48-0.60.42-0.310.580.80.42-0.320.6-0.59-0.640.26
0.950.770.350.180.920.86-0.220.620.230.87-0.050.230.860.480.030.87-0.150.980.840.77-0.130.9-0.04-0.15-0.23
0.08-0.04-0.130.22-0.16-0.190.29-0.360.490.1-0.430.49-0.37-0.60.030.25-0.07-0.01-0.20.08-0.13-0.180.350.93-0.15
0.840.90.470.090.870.73-0.280.510.420.720.080.420.740.420.870.25-0.190.910.830.74-0.20.83-0.160.130.03
0.09-0.29-0.530.78-0.17-0.410.84-0.350.170.26-0.080.17-0.29-0.31-0.15-0.07-0.19-0.25-0.18-0.270.98-0.030.730.03-0.29
0.910.880.520.050.970.91-0.370.690.210.80.060.210.920.580.98-0.010.91-0.250.90.8-0.240.92-0.2-0.17-0.02
0.80.850.560.010.960.81-0.420.710.340.690.240.340.880.80.84-0.20.83-0.180.90.7-0.20.89-0.31-0.320.14
0.730.720.73-0.050.760.74-0.320.870.10.620.020.10.750.420.770.080.74-0.270.80.7-0.260.71-0.18-0.090.08
0.07-0.26-0.520.71-0.16-0.370.8-0.330.070.24-0.030.07-0.25-0.32-0.13-0.13-0.20.98-0.24-0.2-0.260.00.69-0.01-0.31
0.840.840.450.050.950.89-0.310.640.20.740.360.20.880.60.9-0.180.83-0.030.920.890.710.0-0.21-0.230.01
0.2-0.45-0.650.92-0.27-0.450.96-0.450.230.41-0.650.23-0.39-0.59-0.040.35-0.160.73-0.2-0.31-0.180.69-0.210.29-0.57
-0.1-0.12-0.170.14-0.28-0.290.3-0.480.5-0.08-0.190.5-0.5-0.64-0.150.930.130.03-0.17-0.32-0.09-0.01-0.230.29-0.04
-0.20.320.7-0.450.090.09-0.470.23-0.01-0.320.46-0.010.110.26-0.23-0.150.03-0.29-0.020.140.08-0.310.01-0.57-0.04
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Data Communications Account Relationship Matchups

Data Communications fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets214.4M163.9M140.1M149.5M418.8M439.7M
Other Current Liab6.0M2.8M4.1M2.9M16.3M17.1M
Total Current Liabilities73.6M60.9M62.8M69.5M116.5M64.4M
Total Stockholder Equity(1.0M)10.0M8.0M22.8M28.8M54.6M
Property Plant And Equipment Net69.4M52.1M41.9M40.3M190.2M199.7M
Net Debt205.9M95.6M74.5M62.6M239.5M251.5M
Retained Earnings(260.5M)(249.7M)(252.3M)(237.8M)(258.5M)(271.4M)
Accounts Payable51.7M40.0M37.6M44.1M75.8M40.7M
Non Current Assets Total112.7M88.0M72.0M67.4M237.7M249.6M
Non Currrent Assets Other1.3M1.1M1.1M2.8M4.9M5.1M
Net Receivables86.5M65.3M52.4M54.6M120.6M126.6M
Common Stock Shares Outstanding21.6M43.3M46.1M46.6M50.8M53.4M
Liabilities And Stockholders Equity214.4M163.9M140.1M149.5M418.8M439.7M
Non Current Liabilities Total141.9M93.0M69.2M57.2M273.5M287.1M
Inventory12.6M8.5M12.1M20.2M28.8M25.2M
Other Current Assets2.6M1.5M2.6M3.0M14.0M14.7M
Other Stockholder Equity3.2M3.2M3.7M4M3.1M3.0M
Total Liab215.4M154.0M132.0M126.6M390.0M409.5M
Property Plant And Equipment Gross69.4M52.1M120.1M118.2M284.8M299.1M
Total Current Assets101.6M75.9M68.0M82.1M181.1M101.8M
Accumulated Other Comprehensive Income254K192K173K207K396K415.8K
Intangible Assets18.2M14.5M4.0M2.5M10.6M10.1M
Short Long Term Debt Total144.1M96.2M75.4M66.8M257.1M270.0M
Current Deferred Revenue2.1M2.8M3.3M3.9M6.2M5.6M
Short Term Debt13.7M15.4M17.9M18.5M18.2M12.6M
Common Stock251.2M256.0M256.3M256.5M283.7M265.9M
Other Liab11.5M12.2M11.7M8.8M7.9M10.7M
Net Tangible Assets(36.2M)(21.5M)(13.0M)3.4M3.9M4.1M
Other Assets8.1M4.5M9.1M7.7M8.8M6.2M
Long Term Debt76.9M40.5M24.6M15.4M93.9M98.6M
Short Long Term Debt5.5M7.3M11.7M11.7M7.9M7.5M
Property Plant Equipment69.4M52.1M41.9M40.3M46.3M32.9M
Long Term Debt Total130.4M80.9M57.5M48.4M55.6M63.3M
Capital Surpluse2.3M2.4M2.8M3.1M3.6M2.1M

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.

Moving against Data Stock

  0.76FFH-PM Fairfax FinancialPairCorr
  0.75FFH Fairfax FinancialPairCorr
  0.73FFH-PD Fairfax FinancialPairCorr
  0.66FFH-PE Fairfax FinancialPairCorr
  0.64FFH-PH Fairfax FinancialPairCorr
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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Data Stock

Balance Sheet is a snapshot of the financial position of Data Communications at a specified time, usually calculated after every quarter, six months, or one year. Data Communications Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Data Communications and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Data currently owns. An asset can also be divided into two categories, current and non-current.