Data Days Of Inventory On Hand from 2010 to 2024
| DTST Stock | USD 3.90 0.11 2.90% |
Days Of Inventory On Hand | First Reported 2010-12-31 | Previous Quarter (11.17) | Current Value (10.61) | Quarterly Volatility 19.74535646 |
Check Data Storage financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Data Storage's main balance sheet or income statement drivers, such as Depreciation And Amortization of 760.9 K, Interest Expense of 70.8 K or Total Revenue of 26.2 M, as well as many 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 | Days Of Inventory On Hand |
Latest Data Storage's Days Of Inventory On Hand Growth Pattern
Below is the plot of the Days Of Inventory On Hand of Data Storage Corp over the last few years. It is Data Storage's Days Of Inventory On Hand 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.
| Days Of Inventory On Hand | 10 Years Trend |
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Days Of Inventory On Hand |
| Timeline |
Data Days Of Inventory On Hand Regression Statistics
| Arithmetic Mean | 1.32 | |
| Coefficient Of Variation | 1,500 | |
| Mean Deviation | 12.17 | |
| Median | 0.000067 | |
| Standard Deviation | 19.75 | |
| Sample Variance | 389.88 | |
| Range | 80.5318 | |
| R-Value | 0 | |
| Mean Square Error | 419.87 | |
| R-Squared | 0.00000345 | |
| Significance | 0.99 | |
| Slope | 0.01 | |
| Total Sum of Squares | 5,458 |
Data Days Of Inventory On Hand History
About Data Storage Financial Statements
Data Storage shareholders use historical fundamental indicators, such as Days Of Inventory On Hand, to determine how well the company is positioned to perform in the future. Although Data Storage investors may analyze each financial statement separately, they are all interrelated. The changes in Data Storage's assets and liabilities, for example, are also reflected in the revenues and expenses on on Data Storage's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Days Of Inventory On Hand | (11.17) | (10.61) |
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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.