Hyperscale Net Receivables from 2010 to 2026

GPUS Stock   0.20  0.01  4.76%   
Hyperscale Data Net Receivables yearly trend continues to be comparatively stable with very little volatility. Net Receivables will likely drop to about 4.5 M in 2026. From the period from 2010 to 2026, Hyperscale Data Net Receivables quarterly data regression had r-value of  0.53 and coefficient of variation of  107.03. View All Fundamentals
 
Net Receivables  
First Reported
1997-03-31
Previous Quarter
10 M
Current Value
9.5 M
Quarterly Volatility
5.2 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 Net Receivables 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 Receivables Growth Pattern

Below is the plot of the Net Receivables of Hyperscale Data over the last few years. It is Hyperscale Data's Net Receivables 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 Receivables10 Years Trend
Slightly volatile
   Net Receivables   
       Timeline  

Hyperscale Net Receivables Regression Statistics

Arithmetic Mean5,816,425
Geometric Mean3,951,644
Coefficient Of Variation107.03
Mean Deviation3,933,522
Median4,544,894
Standard Deviation6,225,515
Sample Variance38.8T
Range26M
R-Value0.53
Mean Square Error29.5T
R-Squared0.29
Significance0.03
Slope658,883
Total Sum of Squares620.1T

Hyperscale Net Receivables History

20264.5 M
20258.7 M
20247.5 M
2023M
202227.3 M
20218.7 M
20206.7 M

About Hyperscale Data Financial Statements

Hyperscale Data shareholders use historical fundamental indicators, such as Net Receivables, 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 Receivables8.7 M4.5 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.