Data Financial Statements From 2010 to 2025

Stocks . Canada . 
Stock . Data Communications Management
DCM Stock  CAD 1.94  0.06  3.19%   
Data Communications financial statements provide useful quarterly and yearly information to potential Data Communications Management investors about the company's current and past financial position, as well as its overall management performance and changes in financial position over time. Historical trend examination of various income statement and balance sheet accounts found on Data Communications financial statements helps investors assess Data Communications' valuation, profitability, and current liquidity needs. Key fundamental drivers impacting Data Communications' valuation are summarized below:
Gross Profit
130.1 M
Profit Margin
0.0074
Market Capitalization
107.3 M
Enterprise Value Revenue
0.6962
Revenue
480 M
We have found one hundred twenty available fundamental signals for Data Communications Management, which can be analyzed and compared to other ratios and to its rivals. Self-guided Investors are advised to verify Data Communications' prevailing fundamentals against the trend between 2010 and 2025 to make sure the company can sustain itself down the road. As of the 19th of March 2025, Market Cap is likely to grow to about 125.9 M. Also, Enterprise Value is likely to grow to about 352.2 M

Data Communications Total Revenue

251.01 Million

Check Data Communications financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Data Communications' main balance sheet or income statement drivers, such as Depreciation And Amortization of 10.7 M, Interest Expense of 18.5 M or Selling General Administrative of 24 M, as well as many indicators such as Price To Sales Ratio of 0.26, Dividend Yield of 0.57 or PTB Ratio of 4.38. Data financial statements analysis is a perfect complement when working with Data Communications Valuation or Volatility modules.
  
This module can also supplement various Data Communications Technical models . Check out the analysis of Data Communications Correlation against competitors.

Data Communications Balance Sheet

Trends
Current ValueLast YearHistorical Average 10 Year Trend
Total Assets395.7 M376.9 M213.5 M
Slightly volatile
Other Current Liabilities33.8 M32.2 M9 M
Slightly volatile
Total Current Liabilities140.7 M134 M71 M
Slightly volatile
Property Plant And Equipment Net229.6 M218.7 M62.3 M
Slightly volatile
Accounts Payable38.7 M73.7 M37.9 M
Slightly volatile
Non Current Assets Total110.3 M213.9 M109 M
Very volatile
Net Receivables145.6 M138.7 M64.4 M
Slightly volatile
Common Stock Shares Outstanding61.4 M58.5 M23.8 M
Slightly volatile
Liabilities And Stockholders Equity395.7 M376.9 M213.5 M
Slightly volatile
Non Current Liabilities Total330.2 M314.5 M125.1 M
Slightly volatile
Inventory25.2 M26 M26.7 M
Slightly volatile
Other Current Assets16.9 M16.1 M6.2 M
Slightly volatile
Other Stockholder Equity2.7 M2.8 M25.4 M
Slightly volatile
Total Liabilities470.9 M448.5 M196.1 M
Slightly volatile
Property Plant And Equipment Gross343.9 M327.5 M91.9 M
Slightly volatile
Total Current Assets218.6 M208.2 M103.2 M
Slightly volatile
Intangible Assets9.1 M9.6 M19.3 M
Slightly volatile
Short and Long Term Debt Total310.5 M295.7 M116 M
Slightly volatile
Current Deferred Revenue5.6 M5.6 M6.7 M
Slightly volatile
Short Term Debt12.6 M21 M13.9 M
Slightly volatile
Common Stock Total Equity268.1 M294.7 M247.7 M
Slightly volatile
Common Stock265.9 M326.3 M246.9 M
Slightly volatile
Other Liabilities10.7 M7.9 M12.7 M
Slightly volatile
Other Assets6.2 M8.8 M5.7 M
Slightly volatile
Long Term Debt88.8 M84.5 M63.9 M
Pretty Stable
Short and Long Term Debt6.8 M7.1 M34.1 M
Slightly volatile
Property Plant Equipment32.9 M46.3 M29.4 M
Slightly volatile
Long Term Debt Total63.3 M55.6 M42.6 M
Slightly volatile
Capital Surpluse2.1 M3.6 M1.7 M
Slightly volatile
Non Current Liabilities Other3.1 M3.8 M2.6 M
Slightly volatile
Net Invested Capital78.4 M150.2 M72 M
Slightly volatile
Net Working Capital77.9 M74.2 M25.7 M
Slightly volatile
Capital Stock286 M326.3 M261.4 M
Slightly volatile
Capital Lease Obligations187.5 M178.6 M79.1 M
Slightly volatile

Data Communications Income Statement

Trends
Current ValueLast YearHistorical Average 10 Year Trend
Depreciation And Amortization10.7 M19.6 M12.5 M
Slightly volatile
Interest Expense18.5 M17.6 M7.7 M
Slightly volatile
Selling General Administrative24 M43.2 M28.7 M
Slightly volatile
Total Revenue251 M403 M304.2 M
Pretty Stable
Gross Profit64.5 M107 M78.1 M
Slightly volatile
Other Operating Expenses238.5 M374.5 M289 M
Very volatile
Cost Of Revenue186.5 M295.9 M226.1 M
Pretty Stable
Total Operating Expenses52 M78.5 M63 M
Very volatile
Selling And Marketing Expenses28 M35.3 M33.2 M
Slightly volatile
Research Development3.2 M3.4 M3 M
Slightly volatile
Interest Income5.7 M5.7 M5.4 M
Very volatile
Reconciled Depreciation15.3 M25 M12 M
Slightly volatile

Data Communications Cash Flow Statement

Trends
Current ValueLast YearHistorical Average 10 Year Trend
Depreciation10.8 M19.6 M12.7 M
Slightly volatile
Capital Expenditures3.7 M5 M3.6 M
Pretty Stable
Dividends Paid5.6 M5.9 M8.4 M
Slightly volatile
Stock Based Compensation815.1 K776.2 K296.3 K
Slightly volatile

Financial Ratios

Trends
Current ValueLast YearHistorical Average 10 Year Trend
Price To Sales Ratio0.260.340.1832
Very volatile
Dividend Yield0.570.540.5204
Slightly volatile
Days Sales Outstanding48.6288.4864.6188
Slightly volatile
Stock Based Compensation To Revenue9.0E-40.00148.0E-4
Slightly volatile
Capex To Depreciation0.250.180.3322
Pretty Stable
EV To Sales0.560.960.4742
Slightly volatile
Inventory Turnover7.6510.2610.6587
Slightly volatile
Days Of Inventory On Hand53.5536.8243.4675
Slightly volatile
Payables Turnover7.675.96.7318
Slightly volatile
Sales General And Administrative To Revenue0.06580.09660.0878
Slightly volatile
Research And Ddevelopement To Revenue0.01270.00980.0096
Slightly volatile
Capex To Revenue0.00870.00870.0112
Very volatile
Days Payables Outstanding44.7364.057.4398
Slightly volatile
Intangibles To Total Assets0.08580.09030.2616
Slightly volatile
Current Ratio1.881.791.5773
Slightly volatile
Receivables Turnover7.384.276.3877
Slightly volatile
Capex Per Share0.09350.09844.2864
Slightly volatile
Revenue Per Share9.6210.13472
Slightly volatile
Interest Debt Per Share5.866.1687.7368
Slightly volatile
Debt To Assets0.340.550.4598
Slightly volatile
Graham Number2.12.21131
Slightly volatile
Operating Cycle87.58117107
Slightly volatile
Days Of Payables Outstanding44.7364.057.4398
Slightly volatile
Long Term Debt To Capitalization0.540.690.7448
Very volatile
Total Debt To Capitalization0.570.810.7826
Slightly volatile
Quick Ratio1.21.51.063
Very volatile
Net Income Per E B T0.790.810.8472
Slightly volatile
Cash Conversion Cycle58.9168.151.1635
Pretty Stable
Days Of Inventory Outstanding53.5536.8243.4675
Slightly volatile
Days Of Sales Outstanding48.6288.4864.6188
Slightly volatile
Fixed Asset Turnover2.572.7111.9137
Slightly volatile
Debt Ratio0.340.550.4598
Slightly volatile
Price Sales Ratio0.260.340.1832
Very volatile
Asset Turnover1.260.961.6866
Pretty Stable
Gross Profit Margin0.210.240.2528
Pretty Stable

Data Communications Valuation Data

Trends
Current ValueLast YearHistorical Average 10 Year Trend
Market Cap125.9 M119.9 M47.3 M
Slightly volatile
Enterprise Value352.2 M335.4 M145.1 M
Slightly volatile

Data Fundamental Market Drivers

Forward Price Earnings6.0643
Cash And Short Term Investments17.7 M

About Data Communications Financial Statements

Data Communications investors utilize fundamental indicators, such as revenue or net income, to predict how Data Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Current Deferred Revenue5.6 M5.6 M
Total Revenue403 M251 M
Cost Of Revenue295.9 M186.5 M
Sales General And Administrative To Revenue 0.10  0.07 
Research And Ddevelopement To Revenue 0.01  0.01 
Capex To Revenue 0.01  0.01 
Revenue Per Share 10.13  9.62 
Ebit Per Revenue 0.06  0.07 

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

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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 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.
Balance Sheet
Statement
Details
Profit & Loss
Statement
Details
Cash Flow
Statement
Details
Financial
Indicators
Details
Valuation
Indicators
Details
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