Hyperscale Net Income From Continuing Ops from 2010 to 2026

GPUS Stock   0.21  0.01  4.55%   
Hyperscale Data Net Loss yearly trend continues to be comparatively stable with very little volatility. Net Loss will likely drop to about -58.4 M in 2026. From the period from 2010 to 2026, Hyperscale Data Net Loss quarterly data regression had mean square error of 3109.4 T and mean deviation of  37,665,134. View All Fundamentals
 
Net Loss  
First Reported
2010-12-31
Previous Quarter
-55.6 M
Current Value
-58.4 M
Quarterly Volatility
60.7 M
 
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 Net Income From Continuing Ops 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 Net Income From Continuing Ops Growth Pattern

Below is the plot of the Net Income From Continuing Ops of Hyperscale Data over the last few years. It is Hyperscale Data's Net Loss 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.
Net Income From Continuing Ops10 Years Trend
Slightly volatile
   Net Income From Continuing Ops   
       Timeline  

Hyperscale Net Income From Continuing Ops Regression Statistics

Arithmetic Mean(56,123,903)
Coefficient Of Variation(108.16)
Mean Deviation37,665,134
Median(30,076,000)
Standard Deviation60,703,863
Sample Variance3685T
Range217.6M
R-Value(0.46)
Mean Square Error3109.4T
R-Squared0.21
Significance0.07
Slope(5,494,710)
Total Sum of Squares58959.3T

Hyperscale Net Income From Continuing Ops History

2026-58.4 M
2025-55.6 M
2024-61.8 M
2023-240.6 M
2022-183.9 M
2021-23 M

About Hyperscale Data Financial Statements

Hyperscale Data shareholders use historical fundamental indicators, such as Net Income From Continuing Ops, 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
Net Loss-55.6 M-58.4 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.