Data Inventory Turnover from 2010 to 2024
| DTSTW Stock | USD 0.38 0.01 2.56% |
Inventory Turnover | First Reported 2010-12-31 | Previous Quarter (32.67) | Current Value (31.04) | Quarterly Volatility 21.75081061 |
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 770 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 | Inventory Turnover |
Latest Data Storage's Inventory Turnover Growth Pattern
Below is the plot of the Inventory Turnover of Data Storage over the last few years. It is a ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management. Data Storage's Inventory Turnover 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.
| Inventory Turnover | 10 Years Trend |
|
Inventory Turnover |
| Timeline |
Data Inventory Turnover Regression Statistics
| Arithmetic Mean | 15.77 | |
| Coefficient Of Variation | 137.96 | |
| Mean Deviation | 15.95 | |
| Median | 29.06 | |
| Standard Deviation | 21.75 | |
| Sample Variance | 473.10 | |
| Range | 61.7286 | |
| R-Value | (0.24) | |
| Mean Square Error | 479.15 | |
| R-Squared | 0.06 | |
| Significance | 0.38 | |
| Slope | (1.19) | |
| Total Sum of Squares | 6,623 |
Data Inventory Turnover History
About Data Storage Financial Statements
Data Storage investors use historical fundamental indicators, such as Data Storage's Inventory Turnover, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Data Storage. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Inventory Turnover | (32.67) | (31.04) |
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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.