Data Days Of Inventory On Hand vs Inventory Turnover Analysis

DCM Stock  CAD 2.10  0.09  4.11%   
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 Days Of Inventory On Hand and its Inventory Turnover 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.

Days Of Inventory On Hand vs Inventory Turnover

Days Of Inventory On Hand vs Inventory Turnover Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Data Communications Days Of Inventory On Hand account and Inventory Turnover. At this time, the significance of the direction appears to have pay attention.
The correlation between Data Communications' Days Of Inventory On Hand and Inventory Turnover is -0.92. Overlapping area represents the amount of variation of Days Of Inventory On Hand that can explain the historical movement of Inventory Turnover 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' Days Of Inventory On Hand and Inventory Turnover is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Days Of Inventory On Hand of Data Communications Management are associated (or correlated) with its Inventory Turnover. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Inventory Turnover has no effect on the direction of Days Of Inventory On Hand i.e., Data Communications' Days Of Inventory On Hand and Inventory Turnover go up and down completely randomly.

Correlation Coefficient

-0.92
Relationship DirectionNegative 
Relationship StrengthSignificant

Days Of Inventory On Hand

Inventory Turnover

A ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management.
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' Issuance Of Capital Stock is very stable compared to the past year. As of the 2nd of March 2025, Enterprise Value Over EBITDA is likely to grow to 24.12, while Selling General Administrative is likely to drop about 24 M.
 2022 2023 2024 2025 (projected)
Interest Expense5.0M15.3M17.6M18.5M
Depreciation And Amortization11.2M21.7M19.6M10.7M

Data Communications fundamental ratios Correlations

0.840.660.310.880.770.060.640.360.86-0.130.360.820.50.940.070.860.170.90.830.890.040.850.14-0.12-0.11
0.840.93-0.130.980.89-0.340.740.380.520.290.380.930.770.91-0.070.9-0.240.960.970.97-0.210.95-0.34-0.20.26
0.660.93-0.360.890.87-0.570.750.210.30.360.210.90.770.78-0.110.8-0.40.880.890.9-0.430.83-0.56-0.20.52
0.31-0.13-0.36-0.09-0.320.94-0.270.30.57-0.580.3-0.19-0.350.030.230.00.89-0.08-0.11-0.070.73-0.080.950.16-0.45
0.880.980.89-0.090.93-0.320.770.330.580.240.330.960.790.95-0.140.89-0.20.980.980.97-0.180.97-0.3-0.270.16
0.770.890.87-0.320.93-0.50.790.090.450.320.090.950.720.91-0.160.79-0.370.940.880.92-0.350.93-0.45-0.290.16
0.06-0.34-0.570.94-0.32-0.5-0.480.230.35-0.490.23-0.43-0.58-0.190.29-0.180.84-0.3-0.34-0.290.81-0.250.970.3-0.48
0.640.740.75-0.270.770.79-0.48-0.050.560.23-0.050.830.70.71-0.290.61-0.280.760.750.74-0.310.72-0.44-0.430.29
0.360.380.210.30.330.090.23-0.050.32-0.071.00.070.20.30.480.440.150.290.390.30.050.280.20.480.03
0.860.520.30.570.580.450.350.560.32-0.340.320.510.230.690.120.580.430.610.540.580.260.570.44-0.07-0.25
-0.130.290.36-0.580.240.32-0.490.23-0.07-0.34-0.070.250.420.04-0.43-0.01-0.50.130.260.15-0.040.35-0.65-0.20.47
0.360.380.210.30.330.090.23-0.051.00.32-0.070.070.20.30.480.440.150.290.390.30.050.280.20.480.03
0.820.930.9-0.190.960.95-0.430.830.070.510.250.070.810.92-0.30.81-0.270.950.930.94-0.250.93-0.39-0.450.18
0.50.770.77-0.350.790.72-0.580.70.20.230.420.20.810.63-0.540.53-0.380.690.850.68-0.320.71-0.59-0.610.3
0.940.910.780.030.950.91-0.190.710.30.690.040.30.920.630.010.92-0.10.990.90.97-0.160.94-0.12-0.17-0.08
0.07-0.07-0.110.23-0.14-0.160.29-0.290.480.12-0.430.48-0.3-0.540.010.230.17-0.02-0.170.01-0.13-0.150.350.93-0.15
0.860.90.80.00.890.79-0.180.610.440.58-0.010.440.810.530.920.23-0.190.930.860.94-0.210.85-0.140.050.04
0.17-0.24-0.40.89-0.2-0.370.84-0.280.150.43-0.50.15-0.27-0.38-0.10.17-0.19-0.19-0.22-0.180.66-0.190.840.15-0.39
0.90.960.88-0.080.980.94-0.30.760.290.610.130.290.950.690.99-0.020.93-0.190.940.99-0.240.95-0.25-0.190.08
0.830.970.89-0.110.980.88-0.340.750.390.540.260.390.930.850.9-0.170.86-0.220.940.94-0.210.93-0.33-0.310.2
0.890.970.9-0.070.970.92-0.290.740.30.580.150.30.940.680.970.010.94-0.180.990.94-0.230.94-0.25-0.150.13
0.04-0.21-0.430.73-0.18-0.350.81-0.310.050.26-0.040.05-0.25-0.32-0.16-0.13-0.210.66-0.24-0.21-0.23-0.050.690.0-0.32
0.850.950.83-0.080.970.93-0.250.720.280.570.350.280.930.710.94-0.150.85-0.190.950.930.94-0.05-0.25-0.230.1
0.14-0.34-0.560.95-0.3-0.450.97-0.440.20.44-0.650.2-0.39-0.59-0.120.35-0.140.84-0.25-0.33-0.250.69-0.250.3-0.57
-0.12-0.2-0.20.16-0.27-0.290.3-0.430.48-0.07-0.20.48-0.45-0.61-0.170.930.050.15-0.19-0.31-0.150.0-0.230.3-0.05
-0.110.260.52-0.450.160.16-0.480.290.03-0.250.470.030.180.3-0.08-0.150.04-0.390.080.20.13-0.320.1-0.57-0.05
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Data Communications Account Relationship Matchups

Data Communications fundamental ratios Accounts

202020212022202320242025 (projected)
Total Assets163.9M140.1M149.5M418.8M376.9M395.7M
Other Current Liab4.8M3.3M10.0M28.0M32.2M33.8M
Total Current Liabilities60.9M62.8M69.5M116.5M134.0M140.7M
Total Stockholder Equity10.0M8.0M22.8M28.8M25.9M24.6M
Property Plant And Equipment Net52.1M41.9M40.3M190.2M218.7M229.6M
Net Debt95.6M74.5M62.6M239.5M275.4M289.2M
Retained Earnings(249.7M)(252.3M)(237.8M)(258.5M)(232.7M)(244.3M)
Accounts Payable36.4M37.6M35.5M64.1M73.7M38.7M
Cash578K901K4.2M17.7M15.9M16.7M
Non Current Assets Total88.0M72.0M67.4M237.7M213.9M110.3M
Non Currrent Assets Other1.1M1.1M2.8M4.9M5.6M5.9M
Cash And Short Term Investments578K901K4.2M17.7M15.9M16.7M
Net Receivables65.3M52.4M54.6M120.6M138.7M145.6M
Common Stock Shares Outstanding43.3M46.1M46.6M50.8M58.5M61.4M
Liabilities And Stockholders Equity163.9M140.1M149.5M418.8M376.9M395.7M
Non Current Liabilities Total93.0M69.2M57.2M273.5M314.5M330.2M
Inventory8.5M12.1M20.2M28.8M26.0M25.2M
Other Current Assets1.5M2.6M3.0M14.0M16.1M16.9M
Other Stockholder Equity2.4M2.8M3.1M3.1M2.8M2.7M
Total Liab154.0M132.0M126.6M390.0M448.5M470.9M
Property Plant And Equipment Gross52.1M120.1M118.2M284.8M327.5M343.9M
Total Current Assets75.9M68.0M82.1M181.1M208.2M218.6M
Accumulated Other Comprehensive Income192K173K207K396K455.4K478.2K
Intangible Assets14.5M4.0M2.5M10.6M9.6M9.1M
Short Long Term Debt Total96.2M75.4M66.8M257.1M295.7M310.5M
Current Deferred Revenue2.8M3.3M3.9M6.2M5.6M5.6M
Short Term Debt15.4M17.9M18.5M18.2M21.0M12.6M
Common Stock256.0M256.3M256.5M283.7M326.3M265.9M
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 Debt40.5M24.6M15.4M93.9M84.5M88.8M
Short Long Term Debt7.3M11.7M11.7M7.9M7.1M6.8M
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.
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.