Data Average Payables from 2010 to 2024
| DTST Stock | USD 4.84 0.15 3.01% |
Average Payables | First Reported 2010-12-31 | Previous Quarter 2.6 M | Current Value 2.7 M | Quarterly Volatility 798.8 K |
Check Data Storage financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Data main balance sheet or income statement drivers, such as Depreciation And Amortization of 736.2 K, Interest Expense of 70.8 K or Total Revenue of 26.2 M, as well as many exotic indicators such as Price To Sales Ratio of 0.83, Dividend Yield of 0.0649 or PTB Ratio of 0.66. Data financial statements analysis is a perfect complement when working with Data Storage Valuation or Volatility modules.
Data | Average Payables |
Latest Data Storage's Average Payables Growth Pattern
Below is the plot of the Average Payables of Data Storage Corp over the last few years. It is the average amount owed to suppliers and creditors over a specific period, reflecting the company's payment cycle and credit terms with suppliers. Data Storage's Average Payables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Data Storage's overall financial position and show how it may be relating to other accounts over time.
| Average Payables | 10 Years Trend |
|
Average Payables |
| Timeline |
Data Average Payables Regression Statistics
| Arithmetic Mean | 1,309,173 | |
| Geometric Mean | 1,055,005 | |
| Coefficient Of Variation | 61.01 | |
| Mean Deviation | 579,530 | |
| Median | 947,648 | |
| Standard Deviation | 798,771 | |
| Sample Variance | 638B | |
| Range | 2.8M | |
| R-Value | 0.75 | |
| Mean Square Error | 304.8B | |
| R-Squared | 0.56 | |
| Significance | 0 | |
| Slope | 133,231 | |
| Total Sum of Squares | 8.9T |
Data Average Payables History
About Data Storage Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Data Storage income statement, its balance sheet, and the statement of cash flows. Data Storage investors use historical funamental indicators, such as Data Storage's Average Payables, to determine how well the company is positioned to perform in the future. Although Data Storage investors may use each financial statement separately, they are all related. The changes in Data Storage's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Data Storage's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Data Storage Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Data Storage. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Average Payables | 2.6 M | 2.7 M |
Pair Trading with Data Storage
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 Storage 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 Storage will appreciate offsetting losses from the drop in the long position's value.Moving together with Data Stock
| 0.79 | FI | Fiserv Inc Symbol Change | PairCorr |
Moving against Data Stock
| 0.74 | UIS | Unisys Earnings Call This Week | PairCorr |
| 0.71 | VYX | NCR Voyix Symbol Change | PairCorr |
| 0.63 | DMRC | Digimarc | PairCorr |
| 0.6 | G | Genpact Limited Financial Report 8th of May 2024 | PairCorr |
| 0.59 | AUR | Aurora Innovation | PairCorr |
The ability to find closely correlated positions to Data Storage 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 Storage 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 Storage - 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 Storage Corp to buy it.
The correlation of Data Storage 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 Storage moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Storage Corp 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 Storage 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.Check out the analysis of Data Storage Correlation against competitors. For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Complementary 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.
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Is Data Storage's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Data Storage. If investors know Data will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Data Storage listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.63) | Earnings Share 0.05 | Revenue Per Share 3.648 | Quarterly Revenue Growth 0.037 | Return On Assets (0) |
The market value of Data Storage Corp is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data Storage's value that differs from its market value or its book value, called intrinsic value, which is Data Storage's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Data Storage's market value can be influenced by many factors that don't directly affect Data Storage's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Data Storage's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data Storage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data Storage's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.