Hyperscale Intangible Assets from 2010 to 2026

GPUS Stock   0.21  0.00  0.000005%   
Hyperscale Data Intangible Assets yearly trend continues to be comparatively stable with very little volatility. Intangible Assets will likely drop to about 2 M in 2026. Intangible Assets is non-physical assets possessed by a company, such as patents, trademarks, and copyrights, which provide long-term value. View All Fundamentals
 
Intangible Assets  
First Reported
1998-03-31
Previous Quarter
1.7 M
Current Value
1.6 M
Quarterly Volatility
6.5 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
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 Depreciation And Amortization of 31.6 M, Interest Expense of 23.8 M or Total Revenue of 128.8 M, as well as many indicators such as Price To Sales Ratio of 0.0539, Dividend Yield of 0.95 or PTB Ratio of 0.67. Hyperscale financial statements analysis is a perfect complement when working with Hyperscale Data Valuation or Volatility modules.
  
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The evolution of Intangible Assets for Hyperscale Data provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Hyperscale Data compares to historical norms and industry peers.

Latest Hyperscale Data's Intangible Assets Growth Pattern

Below is the plot of the Intangible Assets of Hyperscale Data over the last few years. It is non-physical assets possessed by a company, such as patents, trademarks, and copyrights, which provide long-term value. Hyperscale Data's Intangible Assets 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.
Intangible Assets10 Years Trend
Slightly volatile
   Intangible Assets   
       Timeline  

Hyperscale Intangible Assets Regression Statistics

Arithmetic Mean4,315,235
Geometric Mean1,746,061
Coefficient Of Variation185.98
Mean Deviation3,768,101
Median2,898,013
Standard Deviation8,025,458
Sample Variance64.4T
Range34.7M
R-Value0.31
Mean Square Error62.1T
R-Squared0.1
Significance0.23
Slope492,823
Total Sum of Squares1030.5T

Hyperscale Intangible Assets History

2026M
20252.1 M
20241.8 M
20235.8 M
202234.8 M
2021M
20204.4 M

About Hyperscale Data Financial Statements

Hyperscale Data shareholders use historical fundamental indicators, such as Intangible Assets, 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
Intangible Assets2.1 MM

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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.