Data Historical Financial Ratios

DCM Stock  CAD 1.99  0.10  5.29%   
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.
  
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.

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

At this time, Data Communications' ROIC is very stable compared to the past year. As of the 26th 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.
Add Fundamental
Price To Sales RatioDividend Yield
Ptb RatioDays Sales Outstanding
Book Value Per ShareFree Cash Flow Yield
Invested CapitalOperating Cash Flow Per Share
Average PayablesStock Based Compensation To Revenue
Capex To DepreciationPb Ratio
Ev To SalesFree Cash Flow Per Share
RoicInventory Turnover
Net Income Per ShareDays Of Inventory On Hand
Payables TurnoverSales General And Administrative To Revenue
Average InventoryResearch And Ddevelopement To Revenue
Capex To RevenueCash Per Share
PocfratioInterest Coverage
Payout RatioCapex To Operating Cash Flow
Pfcf RatioDays Payables Outstanding
Net Current Asset ValueIncome Quality
RoeTangible Asset Value
Ev To Operating Cash FlowPe Ratio
Return On Tangible AssetsEv To Free Cash Flow
Earnings YieldIntangibles To Total Assets
Net Debt To E B I T D ACurrent Ratio
Tangible Book Value Per ShareReceivables Turnover
Graham NumberShareholders Equity Per Share
Debt To EquityCapex Per Share
Graham Net NetAverage Receivables
Revenue Per ShareInterest Debt Per Share
Debt To AssetsEnterprise Value Over E B I T D A
Short Term Coverage RatiosPrice Earnings Ratio
Operating CyclePrice Book Value Ratio
Price Earnings To Growth RatioDays Of Payables Outstanding
Dividend Payout RatioPrice To Operating Cash Flows Ratio
Price To Free Cash Flows RatioPretax Profit Margin
Ebt Per EbitOperating Profit Margin
Effective Tax RateCompany Equity Multiplier
Long Term Debt To CapitalizationTotal Debt To Capitalization
Return On Capital EmployedDebt Equity Ratio
Ebit Per RevenueQuick Ratio
Dividend Paid And Capex Coverage RatioNet Income Per E B T
Cash RatioCash Conversion Cycle
Operating Cash Flow Sales RatioDays Of Inventory Outstanding
Days Of Sales OutstandingFree Cash Flow Operating Cash Flow Ratio
Cash Flow Coverage RatiosPrice To Book Ratio
Fixed Asset TurnoverCapital Expenditure Coverage Ratio
Price Cash Flow RatioEnterprise Value Multiple
Debt RatioCash Flow To Debt Ratio
Price Sales RatioReturn On Assets
Asset TurnoverNet Profit Margin
Gross Profit MarginPrice Fair Value
Return On Equity

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.

Stock Based Compensation To Revenue

A metric that compares the total value of stock-based compensation granted by a company to its total revenue, indicating how much of the revenue is used to compensate employees with stock options or awards.

Ev To Sales

The Enterprise Value to Sales ratio, a valuation metric used to compare the value of a company, including debt and excluding cash, to its sales revenue.

Income Quality

An assessment of the sustainability of a company's earnings over time, considering factors like revenue source diversification and cost structure.
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 26th 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 Yield0.530.56
Price To Sales Ratio0.30.26

Data Communications fundamentals Correlations

-0.720.37-0.010.77-0.260.57-0.40.370.510.60.34-0.130.43-0.020.05-0.260.840.710.490.410.160.65-0.080.11-0.23
-0.720.010.36-0.940.2-0.850.350.01-0.13-0.870.130.29-0.12-0.27-0.40.29-0.79-0.57-0.07-0.72-0.08-0.560.380.050.18
0.370.010.33-0.050.18-0.09-0.291.00.25-0.080.480.270.08-0.34-0.21-0.240.010.350.38-0.040.410.470.180.52-0.59
-0.010.360.33-0.44-0.29-0.59-0.20.330.7-0.560.530.630.28-0.75-0.780.11-0.35-0.410.37-0.25-0.51-0.030.750.130.44
0.77-0.94-0.05-0.44-0.130.92-0.27-0.050.130.93-0.14-0.290.180.260.43-0.210.940.560.110.610.080.55-0.41-0.02-0.17
-0.260.20.18-0.29-0.13-0.020.160.18-0.49-0.07-0.23-0.1-0.230.180.27-0.15-0.08-0.03-0.23-0.120.42-0.03-0.29-0.03-0.5
0.57-0.85-0.09-0.590.92-0.02-0.3-0.09-0.041.0-0.4-0.41-0.140.430.65-0.310.830.46-0.170.530.130.49-0.59-0.09-0.3
-0.40.35-0.29-0.2-0.270.16-0.3-0.29-0.51-0.33-0.240.160.160.070.040.85-0.22-0.06-0.13-0.230.21-0.45-0.1-0.010.02
0.370.011.00.33-0.050.18-0.09-0.290.25-0.080.480.270.08-0.34-0.21-0.240.010.350.38-0.040.410.470.180.52-0.59
0.51-0.130.250.70.13-0.49-0.04-0.510.250.00.450.220.37-0.49-0.55-0.130.24-0.050.430.05-0.510.30.570.030.37
0.6-0.87-0.08-0.560.93-0.071.0-0.33-0.080.0-0.37-0.38-0.130.390.62-0.310.840.48-0.140.560.120.5-0.56-0.08-0.28
0.340.130.480.53-0.14-0.23-0.4-0.240.480.45-0.370.410.72-0.54-0.64-0.180.00.140.930.010.010.220.560.380.11
-0.130.290.270.63-0.29-0.1-0.410.160.270.22-0.380.410.21-0.93-0.680.36-0.23-0.370.36-0.2-0.280.010.660.450.3
0.43-0.120.080.280.18-0.23-0.140.160.080.37-0.130.720.21-0.27-0.440.20.330.210.870.31-0.060.140.340.230.27
-0.02-0.27-0.34-0.750.260.180.430.07-0.34-0.490.39-0.54-0.93-0.270.83-0.240.170.38-0.460.240.41-0.09-0.84-0.48-0.38
0.05-0.4-0.21-0.780.430.270.650.04-0.21-0.550.62-0.64-0.68-0.440.83-0.280.330.36-0.540.180.40.21-0.98-0.44-0.49
-0.260.29-0.240.11-0.21-0.15-0.310.85-0.24-0.13-0.31-0.180.360.2-0.24-0.28-0.17-0.21-0.08-0.22-0.14-0.420.260.20.31
0.84-0.790.01-0.350.94-0.080.83-0.220.010.240.840.0-0.230.330.170.33-0.170.560.260.470.090.55-0.330.0-0.16
0.71-0.570.35-0.410.56-0.030.46-0.060.35-0.050.480.14-0.370.210.380.36-0.210.560.240.350.760.32-0.440.0-0.69
0.49-0.070.380.370.11-0.23-0.17-0.130.380.43-0.140.930.360.87-0.46-0.54-0.080.260.240.220.020.310.460.390.11
0.41-0.72-0.04-0.250.61-0.120.53-0.23-0.040.050.560.01-0.20.310.240.18-0.220.470.350.220.040.33-0.20.1-0.08
0.16-0.080.41-0.510.080.420.130.210.41-0.510.120.01-0.28-0.060.410.4-0.140.090.760.020.040.02-0.50.08-0.9
0.65-0.560.47-0.030.55-0.030.49-0.450.470.30.50.220.010.14-0.090.21-0.420.550.320.310.330.02-0.190.12-0.23
-0.080.380.180.75-0.41-0.29-0.59-0.10.180.57-0.560.560.660.34-0.84-0.980.26-0.33-0.440.46-0.2-0.5-0.190.480.54
0.110.050.520.13-0.02-0.03-0.09-0.010.520.03-0.080.380.450.23-0.48-0.440.20.00.00.390.10.080.120.48-0.07
-0.230.18-0.590.44-0.17-0.5-0.30.02-0.590.37-0.280.110.30.27-0.38-0.490.31-0.16-0.690.11-0.08-0.9-0.230.54-0.07
Click cells to compare fundamentals

Data Communications Account Relationship Matchups

Data Communications fundamentals Accounts

201920202021202220232024 (projected)
Price To Sales Ratio0.01830.10.240.230.30.26
Ptb Ratio(4.98)2.737.02.84.634.86
Days Sales Outstanding111.5591.981.3172.8598.31103.23
Book Value Per Share(0.0482)0.230.180.520.570.54
Free Cash Flow Yield(1.11)1.720.420.330.210.38
Operating Cash Flow Per Share0.78(0.0376)1.10.610.510.65
Stock Based Compensation To Revenue6.72E-42.08E-40.0020740.0011980.0015089.14E-4
Capex To Depreciation0.880.290.05170.210.20.25
Pb Ratio(4.98)2.737.02.84.634.86
Ev To Sales0.30.750.470.560.460.83
Free Cash Flow Per Share(0.27)1.080.540.480.560.53
Roic0.01590.330.250.380.170.18
Inventory Turnover16.9821.8913.669.3811.47.65
Net Income Per Share(0.65)0.310.03560.32(0.31)(0.33)
Days Of Inventory On Hand21.516.6726.7138.9332.0153.55
Payables Turnover4.325.124.415.345.137.67
Sales General And Administrative To Revenue0.09280.120.130.10.110.0658
Capex To Revenue0.01740.0032350.01370.0056460.0097140.00872
Pocfratio(6.39)0.572.092.824.063.44
Interest Coverage0.193.993.195.382.071.57
Capex To Operating Cash Flow0.45(6.06)0.01760.06820.130.14
Pfcf Ratio(0.9)0.582.373.024.683.56
Days Payables Outstanding84.4571.2782.7568.371.1144.73
Income Quality0.0584.1417.221.62(2.07)(1.97)
Roe13.441.340.190.61(0.55)(0.52)
Ev To Operating Cash Flow(260.22)2.584.855.5811.3611.93
Pe Ratio(0.37)2.0435.984.57(8.4)(7.98)
Return On Tangible Assets(0.078)0.10.01310.11(0.0411)(0.0431)
Ev To Free Cash Flow(36.86)2.625.515.9913.113.75
Earnings Yield0.0766(2.7)0.490.02780.22(0.12)
Intangibles To Total Assets0.160.190.150.130.07850.0746
Net Debt To E B I T D A28.52.552.21.7416.417.22
Current Ratio1.381.251.081.181.551.88
Tangible Book Value Per Share(1.68)(0.5)(0.29)0.0764(0.081)(0.085)
Receivables Turnover3.273.974.495.013.717.38
Graham Number0.841.270.381.921.991.89
Shareholders Equity Per Share(0.0482)0.230.180.520.570.54

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.

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

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.