Hyperscale Net Debt vs Net Receivables Analysis

GPUS Stock   0.66  0.00  0.000005%   
Hyperscale Data, financial indicator trend analysis is much more than just examining Hyperscale Data, latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Hyperscale Data, is a good investment. Please check the relationship between Hyperscale Data, Net Debt and its Net Receivables accounts. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Hyperscale Data,. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
For more information on how to buy Hyperscale Stock please use our How to Invest in Hyperscale Data, guide.

Net Debt vs Net Receivables

Net Debt vs Net Receivables Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Hyperscale Data, Net Debt account and Net Receivables. At this time, the significance of the direction appears to have strong relationship.
The correlation between Hyperscale Data,'s Net Debt and Net Receivables is 0.61. Overlapping area represents the amount of variation of Net Debt that can explain the historical movement of Net Receivables in the same time period over historical financial statements of Hyperscale Data,, assuming nothing else is changed. The correlation between historical values of Hyperscale Data,'s Net Debt and Net Receivables is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Debt of Hyperscale Data, are associated (or correlated) with its Net Receivables. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Receivables has no effect on the direction of Net Debt i.e., Hyperscale Data,'s Net Debt and Net Receivables go up and down completely randomly.

Correlation Coefficient

0.61
Relationship DirectionPositive 
Relationship StrengthSignificant

Net Debt

The total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds.

Net Receivables

Most indicators from Hyperscale Data,'s fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Hyperscale Data, current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Hyperscale Data,. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
For more information on how to buy Hyperscale Stock please use our How to Invest in Hyperscale Data, guide.At this time, Hyperscale Data,'s Selling General Administrative is comparatively stable compared to the past year. Tax Provision is likely to gain to about 58.8 K in 2025, whereas Issuance Of Capital Stock is likely to drop slightly above 21.9 M in 2025.
 2022 2023 2024 2025 (projected)
Interest Expense37.3M44.3M19.7M10.5M
Depreciation And Amortization16.4M29.8M26.2M27.5M

Hyperscale Data, fundamental ratios Correlations

0.820.820.780.880.910.78-0.610.610.580.990.880.760.960.520.910.780.790.790.890.950.550.7-0.17-0.570.79
0.820.730.910.510.970.99-0.870.770.380.840.580.770.650.820.530.40.550.940.890.720.920.36-0.17-0.610.58
0.820.730.920.520.790.73-0.810.830.340.750.490.390.740.770.740.780.960.870.960.930.570.7-0.15-0.570.71
0.780.910.920.40.890.91-0.950.920.280.740.410.510.630.920.560.560.770.980.970.810.850.5-0.18-0.590.64
0.880.510.520.40.660.46-0.180.20.650.890.980.720.940.070.920.740.580.420.580.790.170.69-0.12-0.40.73
0.910.970.790.890.660.96-0.810.730.470.920.710.820.770.760.670.520.660.920.920.830.810.44-0.17-0.640.62
0.780.990.730.910.460.96-0.870.780.280.80.540.710.610.830.490.370.530.930.880.690.940.34-0.17-0.560.56
-0.61-0.87-0.81-0.95-0.18-0.81-0.87-0.93-0.27-0.58-0.2-0.48-0.42-0.98-0.31-0.31-0.62-0.97-0.87-0.64-0.88-0.250.190.58-0.41
0.610.770.830.920.20.730.78-0.930.220.560.20.360.490.90.370.410.70.910.850.670.750.34-0.21-0.40.49
0.580.380.340.280.650.470.28-0.270.220.580.550.750.60.150.490.350.330.410.370.540.160.26-0.07-0.60.39
0.990.840.750.740.890.920.8-0.580.560.580.910.820.940.480.880.710.70.760.850.90.570.64-0.17-0.550.77
0.880.580.490.410.980.710.54-0.20.20.550.910.750.910.10.890.680.520.440.590.760.250.63-0.12-0.370.7
0.760.770.390.510.720.820.71-0.480.360.750.820.750.670.40.510.240.270.640.560.580.580.16-0.13-0.60.4
0.960.650.740.630.940.770.61-0.420.490.60.940.910.670.310.960.850.770.630.780.920.340.78-0.14-0.450.84
0.520.820.770.920.070.760.83-0.980.90.150.480.10.40.310.220.230.580.920.810.570.870.16-0.15-0.560.3
0.910.530.740.560.920.670.49-0.310.370.490.880.890.510.960.220.930.810.520.730.910.210.88-0.12-0.410.85
0.780.40.780.560.740.520.37-0.310.410.350.710.680.240.850.230.930.870.470.710.870.140.97-0.06-0.350.88
0.790.550.960.770.580.660.53-0.620.70.330.70.520.270.770.580.810.870.710.860.930.330.78-0.13-0.470.71
0.790.940.870.980.420.920.93-0.970.910.410.760.440.640.630.920.520.470.710.950.790.870.4-0.2-0.640.58
0.890.890.960.970.580.920.88-0.870.850.370.850.590.560.780.810.730.710.860.950.910.750.66-0.18-0.60.76
0.950.720.930.810.790.830.69-0.640.670.540.90.760.580.920.570.910.870.930.790.910.450.78-0.15-0.580.8
0.550.920.570.850.170.810.94-0.880.750.160.570.250.580.340.870.210.140.330.870.750.450.14-0.15-0.520.4
0.70.360.70.50.690.440.34-0.250.340.260.640.630.160.780.160.880.970.780.40.660.780.14-0.1-0.230.92
-0.17-0.17-0.15-0.18-0.12-0.17-0.170.19-0.21-0.07-0.17-0.12-0.13-0.14-0.15-0.12-0.06-0.13-0.2-0.18-0.15-0.15-0.1-0.02-0.16
-0.57-0.61-0.57-0.59-0.4-0.64-0.560.58-0.4-0.6-0.55-0.37-0.6-0.45-0.56-0.41-0.35-0.47-0.64-0.6-0.58-0.52-0.23-0.02-0.37
0.790.580.710.640.730.620.56-0.410.490.390.770.70.40.840.30.850.880.710.580.760.80.40.92-0.16-0.37
Click cells to compare fundamentals

Hyperscale Data, Account Relationship Matchups

Hyperscale Data, fundamental ratios Accounts

202020212022202320242025 (projected)
Total Assets75.6M490.3M561.5M299.2M220.8M231.8M
Short Long Term Debt Total9.5M100.4M91.4M61.1M120.3M126.3M
Other Current Liab10.0M34.3M161.0M143.1M73.2M76.9M
Total Current Liabilities21.9M81.9M225.3M204.8M215.5M226.3M
Total Stockholder Equity48.3M226.8M206.5M44.7M8.6M8.2M
Property Plant And Equipment Net6.4M179.3M155.2M115.1M148.1M155.5M
Net Debt(9.2M)84.5M83.4M52.5M115.8M121.5M
Retained Earnings(122.3M)(145.6M)(329.1M)(567.5M)(629.0M)(597.5M)
Accounts Payable7.0M6.9M20.0M32.6M25.2M26.4M
Cash18.7M15.9M7.9M8.6M4.5M3.5M
Non Current Assets Total41.3M380.7M365.2M160.7M162.4M170.5M
Non Currrent Assets Other1.1M121.4M98.4M11.3M7.5M11.9M
Cash And Short Term Investments21.2M59.1M17.0M12.1M25.3M26.6M
Net Receivables6.7M22.1M27.3M12.6M7.5M5.2M
Common Stock Shares Outstanding12.8K100.5K431K1.1M1.1M1.1M
Liabilities And Stockholders Equity75.6M490.3M561.5M299.2M220.8M231.8M
Non Current Liabilities Total4.6M63.2M112.2M35.5M3.2M3.0M
Inventory3.4M5.5M22.0M8.4M1.8M1.7M
Other Current Assets3.0M22.9M130.0M114.9M23.7M24.9M
Other Stockholder Equity171.4M372.5M536.7M614.3M638.2M670.2M
Total Liab26.5M145.1M337.5M240.3M218.7M229.6M
Total Current Assets34.4M109.6M196.3M138.5M58.4M61.3M
Short Term Debt4.8M40.7M44.3M29.1M117.1M123.0M
Intangible Assets4.4M4.0M34.8M5.8M1.8M1.8M
Accumulated Other Comprehensive Income(785K)(106K)(1.1M)(2.1M)(668K)(701.4K)
Common Stock3.3K28K84K4K6K5.7K
Good Will9.6M10.1M27.9M6.1M7.0M11.6M
Short Term Investments2.6M43.2M9.1M4.0M20.8M11.3M

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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.