Hyperscale Dividends Paid from 2010 to 2024
| GPUS Stock | 5.96 0.40 6.29% |
Dividends Paid | First Reported 2010-12-31 | Previous Quarter 1.4 M | Current Value 1.4 M | Quarterly Volatility 489.2 K |
Check Hyperscale Data, financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Hyperscale Data,'s main balance sheet or income statement drivers, such as Tax Provision of 353.9 K, Interest Income of 5.6 M or Interest Expense of 23.7 M, as well as many indicators such as . Hyperscale financial statements analysis is a perfect complement when working with Hyperscale Data, Valuation or Volatility modules.
Hyperscale | Dividends Paid |
Latest Hyperscale Data,'s Dividends Paid Growth Pattern
Below is the plot of the Dividends Paid of Hyperscale Data, over the last few years. It is the total amount of dividends that a company has paid out to its shareholders over a specific period. Hyperscale Data,'s Dividends Paid historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Hyperscale Data,'s overall financial position and show how it may be relating to other accounts over time.
| Dividends Paid | 10 Years Trend |
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Dividends Paid |
| Timeline |
Hyperscale Dividends Paid Regression Statistics
| Arithmetic Mean | 228,517 | |
| Geometric Mean | 39,539 | |
| Coefficient Of Variation | 214.06 | |
| Mean Deviation | 336,827 | |
| Median | 18,000 | |
| Standard Deviation | 489,174 | |
| Sample Variance | 239.3B | |
| Range | 1.4M | |
| R-Value | 0.65 | |
| Mean Square Error | 147.8B | |
| R-Squared | 0.43 | |
| Significance | 0.01 | |
| Slope | 71,419 | |
| Total Sum of Squares | 3.4T |
Hyperscale Dividends Paid History
About Hyperscale Data, Financial Statements
Hyperscale Data, shareholders use historical fundamental indicators, such as Dividends Paid, to determine how well the company is positioned to perform in the future. Although Hyperscale Data, investors may analyze each financial statement separately, they are all interrelated. The changes in Hyperscale Data,'s assets and liabilities, for example, are also reflected in the revenues and expenses on on Hyperscale Data,'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 | ||
| Dividends Paid | 1.4 M | 1.4 M |
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Additional Tools for Hyperscale Stock Analysis
When running Hyperscale Data,'s price analysis, check to measure Hyperscale Data,'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 Hyperscale Data, is operating at the current time. Most of Hyperscale Data,'s value examination focuses on studying past and present price action to predict the probability of Hyperscale Data,'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hyperscale Data,'s price. Additionally, you may evaluate how the addition of Hyperscale Data, to your portfolios can decrease your overall portfolio volatility.