Data Accounts Payable vs Long Term Debt Analysis

DTSTW Stock  USD 0.38  0.01  2.56%   
Data Storage financial indicator trend analysis is much more than just examining Data Storage latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Data Storage is a good investment. Please check the relationship between Data Storage Accounts Payable and its Long Term Debt accounts. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data Storage. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.
For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.

Accounts Payable vs Long Term Debt

Accounts Payable vs Long Term Debt Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Data Storage Accounts Payable account and Long Term Debt. At this time, the significance of the direction appears to have significant contrarian relationship.
The correlation between Data Storage's Accounts Payable and Long Term Debt is -0.46. Overlapping area represents the amount of variation of Accounts Payable that can explain the historical movement of Long Term Debt in the same time period over historical financial statements of Data Storage, assuming nothing else is changed. The correlation between historical values of Data Storage's Accounts Payable and Long Term Debt is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Accounts Payable of Data Storage are associated (or correlated) with its Long Term Debt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Long Term Debt has no effect on the direction of Accounts Payable i.e., Data Storage's Accounts Payable and Long Term Debt go up and down completely randomly.

Correlation Coefficient

-0.46
Relationship DirectionNegative 
Relationship StrengthVery Weak

Accounts Payable

An accounting item on the balance sheet that represents Data Storage obligation to pay off a short-term debt to its creditors. The accounts payable entry is usually reported under current liabilities. If accounts payable of Data Storage are not paid within the agreed terms, the payables are considered to be in default, which may trigger a penalty or interest payment, or the revocation of additional credit from the supplier. Accounts payable may also be considered a source of cash, since they represent funds being borrowed from suppliers. Given these cash flow considerations, suppliers have a natural inclination to push for shorter payment terms, while creditors want to lengthen the payment terms. The amount a company owes to suppliers or vendors for products or services received but not yet paid for. It represents the company's short-term liabilities.

Long Term Debt

Long-term debt is a debt that Data Storage has held for over one year. Long-term debt appears on Data Storage balance sheet and also includes long-term leases. The most common forms of long term debt are bonds payable, long-term notes payable, mortgage payable, pension liabilities, and lease liabilities. In the corporate world, long-term debt is generally used to fund big-ticket items, such as machinery, buildings, and land. The total of long-term debt reported on Data Storage balance sheet is the sum of the balances of all categories of long-term debt. Debt that is not due within the current year and is often considered to be financing activities that are to be repaid over several years.
Most indicators from Data Storage's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Data Storage 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 Storage. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.
For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.At this time, Data Storage's Tax Provision is fairly stable compared to the past year. Sales General And Administrative To Revenue is likely to climb to 0.36 in 2024, whereas Selling General Administrative is likely to drop slightly above 4.8 M in 2024.
 2021 2022 2023 2024 (projected)
Interest Expense126.7K130.1K74.5K70.8K
Depreciation And Amortization1.4M1.4M1.4M770.0K

Data Storage fundamental ratios Correlations

0.710.290.990.63-0.69-0.690.820.650.820.370.980.80.95-0.760.85-0.070.99-0.43-0.23-0.240.070.850.790.94-0.02
0.710.260.710.47-0.21-0.690.680.120.440.120.750.220.78-0.70.50.010.7-0.24-0.28-0.050.020.390.450.76-0.68
0.290.260.20.450.17-0.770.530.00.530.240.160.360.34-0.290.50.830.20.360.530.520.660.290.520.1-0.02
0.990.710.20.59-0.73-0.630.790.650.790.360.990.780.93-0.780.82-0.170.99-0.47-0.31-0.28-0.020.840.770.95-0.03
0.630.470.450.59-0.29-0.520.450.390.80.50.540.560.69-0.240.640.30.560.010.25-0.220.330.680.580.470.03
-0.69-0.210.17-0.73-0.290.12-0.25-0.95-0.64-0.45-0.68-0.61-0.520.44-0.580.44-0.690.480.290.250.11-0.72-0.68-0.73-0.38
-0.69-0.69-0.77-0.63-0.520.12-0.77-0.19-0.67-0.18-0.62-0.54-0.790.63-0.75-0.49-0.63-0.14-0.21-0.17-0.45-0.5-0.71-0.550.31
0.820.680.530.790.45-0.25-0.770.170.60.20.80.690.79-0.830.730.130.82-0.32-0.290.050.00.640.590.72-0.17
0.650.120.00.650.39-0.95-0.190.170.730.480.590.620.5-0.30.61-0.20.61-0.310.03-0.220.180.720.740.640.47
0.820.440.530.790.8-0.64-0.670.60.730.60.710.790.79-0.530.920.180.74-0.060.16-0.040.30.90.940.680.2
0.370.120.240.360.5-0.45-0.180.20.480.60.240.30.33-0.320.330.050.260.160.020.320.050.560.520.30.23
0.980.750.160.990.54-0.68-0.620.80.590.710.240.730.92-0.770.78-0.21.0-0.55-0.36-0.32-0.040.790.690.96-0.1
0.80.220.360.780.56-0.61-0.540.690.620.790.30.730.72-0.530.850.020.79-0.27-0.05-0.260.090.830.730.60.46
0.950.780.340.930.69-0.52-0.790.790.50.790.330.920.72-0.720.820.020.92-0.21-0.11-0.290.150.760.750.86-0.18
-0.76-0.7-0.29-0.78-0.240.440.63-0.83-0.3-0.53-0.32-0.77-0.53-0.72-0.660.22-0.770.220.5-0.140.2-0.55-0.65-0.790.3
0.850.50.50.820.64-0.58-0.750.730.610.920.330.780.850.82-0.660.070.81-0.170.0-0.120.160.880.910.720.11
-0.070.010.83-0.170.30.44-0.490.13-0.20.180.05-0.20.020.020.220.07-0.160.440.770.450.81-0.060.11-0.260.02
0.990.70.20.990.56-0.69-0.630.820.610.740.261.00.790.92-0.770.81-0.16-0.52-0.33-0.31-0.020.820.720.94-0.03
-0.43-0.240.36-0.470.010.48-0.14-0.32-0.31-0.060.16-0.55-0.27-0.210.22-0.170.44-0.520.570.40.36-0.39-0.01-0.52-0.14
-0.23-0.280.53-0.310.250.29-0.21-0.290.030.160.02-0.36-0.05-0.110.50.00.77-0.330.570.110.88-0.110.09-0.360.19
-0.24-0.050.52-0.28-0.220.25-0.170.05-0.22-0.040.32-0.32-0.26-0.29-0.14-0.120.45-0.310.40.110.16-0.20.11-0.25-0.11
0.070.020.66-0.020.330.11-0.450.00.180.30.05-0.040.090.150.20.160.81-0.020.360.880.160.030.27-0.040.09
0.850.390.290.840.68-0.72-0.50.640.720.90.560.790.830.76-0.550.88-0.060.82-0.39-0.11-0.20.030.790.730.31
0.790.450.520.770.58-0.68-0.710.590.740.940.520.690.730.75-0.650.910.110.72-0.010.090.110.270.790.710.11
0.940.760.10.950.47-0.73-0.550.720.640.680.30.960.60.86-0.790.72-0.260.94-0.52-0.36-0.25-0.040.730.71-0.18
-0.02-0.68-0.02-0.030.03-0.380.31-0.170.470.20.23-0.10.46-0.180.30.110.02-0.03-0.140.19-0.110.090.310.11-0.18
Click cells to compare fundamentals

Data Storage Account Relationship Matchups

Data Storage fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets7.3M7.8M26.3M24.1M23.3M24.5M
Other Current Liab971.0K1.1M1.1M880.5K3.1M3.3M
Total Current Liabilities3.7M4.4M3.0M4.5M3.5M3.2M
Total Stockholder Equity1.8M2.0M22.7M19.1M20.0M21.0M
Property Plant And Equipment Net2.5M2.5M2.4M2.4M2.8M1.5M
Net Debt3.0M2.4M(10.1M)(636.3K)(827.3K)(785.9K)
Retained Earnings(15.8M)(15.7M)(15.5M)(19.9M)(19.5M)(20.5M)
Accounts Payable906.7K979.6K1.3M3.2M2.6M2.7M
Cash326.6K893.6K12.1M2.3M1.4M1.2M
Non Current Assets Total6.2M6.1M11.3M8.7M8.8M5.3M
Cash And Short Term Investments326.6K893.6K12.1M11.3M12.7M13.4M
Net Receivables691.4K554.6K2.4M3.5M1.3M752.7K
Common Stock Shares Outstanding3.2M3.4M6.3M6.8M7.2M7.6M
Liabilities And Stockholders Equity7.3M7.8M26.3M24.1M23.3M24.5M
Non Current Liabilities Total1.9M1.5M748.4K609.3K37.9K36.0K
Other Stockholder Equity17.5M17.6M38.2M39.0M39.5M20.0M
Total Liab5.6M5.8M3.7M5.1M3.5M4.4M
Total Current Assets1.1M1.7M15.1M15.4M14.5M15.2M
Common Stock128.4K128.5K6.7K6.8K6.9K6.5K
Short Long Term Debt Total3.3M3.3M2.0M1.7M601.5K571.4K
Current Deferred Revenue432.9K461.9K366.9K281.1K336.2K500.9K
Short Term Debt1.4M1.8M1.3M1.0M563.5K1.0M
Intangible Assets649.9K455.9K2.3M2.0M1.7M968.8K
Other Current Assets80.7K239.5K1.0M584.7K984.0K1.0M
Capital Surpluse17.4M17.4M17.5M17.6M20.3M19.2M
Property Plant Equipment1.6M1.3M2.5M2.5M2.9M1.8M
Capital Lease Obligations2.9M2.8M2.0M1.7M601.5K571.4K
Net Invested Capital2.2M2.5M22.7M19.1M20.0M11.1M
Property Plant And Equipment Gross2.5M2.5M7.0M7.4M7.9M4.8M
Net Working Capital(2.6M)(2.7M)12.1M10.9M11.0M11.6M
Capital Stock129.8K129.9K6.7K6.8K6.9K6.5K

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Data Stock Analysis

When running Data Storage's price analysis, check to measure Data Storage's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Data Storage is operating at the current time. Most of Data Storage's value examination focuses on studying past and present price action to predict the probability of Data Storage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Storage's price. Additionally, you may evaluate how the addition of Data Storage to your portfolios can decrease your overall portfolio volatility.