Hyperscale Property Plant And Equipment Gross from 2010 to 2024

GPUS Stock   6.36  0.54  9.28%   
Hyperscale Data, Property Plant And Equipment Gross yearly trend continues to be comparatively stable with very little volatility. Property Plant And Equipment Gross will likely drop to about 137.9 M in 2024. From the period from 2010 to 2024, Hyperscale Data, Property Plant And Equipment Gross quarterly data regression had r-value of  0.74 and coefficient of variation of  138.81. View All Fundamentals
 
Property Plant And Equipment Gross  
First Reported
2010-12-31
Previous Quarter
146.1 M
Current Value
137.9 M
Quarterly Volatility
68.2 M
 
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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.
  
Check out the analysis of Hyperscale Data, Correlation against competitors.
For more information on how to buy Hyperscale Stock please use our How to Invest in Hyperscale Data, guide.

Latest Hyperscale Data,'s Property Plant And Equipment Gross Growth Pattern

Below is the plot of the Property Plant And Equipment Gross of Hyperscale Data, over the last few years. It is Hyperscale Data,'s Property Plant And Equipment Gross 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.
Property Plant And Equipment Gross10 Years Trend
Slightly volatile
   Property Plant And Equipment Gross   
       Timeline  

Hyperscale Property Plant And Equipment Gross Regression Statistics

Arithmetic Mean49,135,292
Geometric Mean20,487,995
Coefficient Of Variation138.81
Mean Deviation57,715,228
Median9,784,000
Standard Deviation68,204,844
Sample Variance4651.9T
Range174.6M
R-Value0.74
Mean Square Error2250.4T
R-Squared0.55
Significance0
Slope11,318,717
Total Sum of Squares65126.6T

Hyperscale Property Plant And Equipment Gross History

2024137.9 M
2023146.1 M
2022161.1 M
2021184.4 M

About Hyperscale Data, Financial Statements

Hyperscale Data, shareholders use historical fundamental indicators, such as Property Plant And Equipment Gross, 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 ReportedProjected for Next Year
Property Plant And Equipment Gross146.1 M137.9 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.