Hyperscale Data, Stock Price To Sales

GPUS Stock

6.61 0.25 3.93%

Hyperscale Data, fundamentals help investors to digest information that contributes to Hyperscale Data,'s financial success or failures. It also enables traders to predict the movement of Hyperscale Stock. The fundamental analysis module provides a way to measure Hyperscale Data,'s intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Hyperscale Data, stock.

Net Debt Other Current Liab

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Hyperscale Data, Company Price To Sales Analysis

Hyperscale Data,'s Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.

P/S

MV Per Share

Revenue Per Share

More About Price To Sales | All Equity Analysis

Current Hyperscale Data, Price To Sales

0.05 X

Most of Hyperscale Data,'s fundamental indicators, such as Price To Sales, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Hyperscale Data, is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

Hyperscale Price To Sales Driver Correlations

Understanding the fundamental principles of building solid financial models for Hyperscale Data, is extremely important. It helps to project a fair market value of Hyperscale Stock properly, considering its historical fundamentals such as Price To Sales. Since Hyperscale Data,'s main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Hyperscale Data,'s historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Hyperscale Data,'s interrelated accounts and indicators.

	Net Debt	Total Assets	Total Stockholder Equity	Retained Earnings	Accounts Payable	Long Term Debt	Net Receivables	Good Will	Short Term Investments	Total Liab	Net Invested Capital	Long Term Investments	Short Long Term Debt	Total Current Assets	Capital Stock	Net Working Capital	Intangible Assets
Net Debt		0.79	0.65	-0.48	0.44	0.79	0.61	0.33	0.55	0.7	0.73	0.73	0.79	0.73	0.05	-0.39	0.45
Total Assets	0.79		0.81	-0.63	0.59	0.97	0.83	0.49	0.62	0.92	0.9	0.88	1.0	0.95	-0.03	-0.54	0.64
Total Stockholder Equity	0.65	0.81		-0.07	0.13	0.8	0.55	0.66	0.82	0.6	0.98	0.95	0.78	0.64	0.39	0.03	0.62
Retained Earnings	-0.48	-0.63	-0.07		-0.93	-0.6	-0.71	0.02	0.03	-0.81	-0.26	-0.23	-0.67	-0.78	0.58	0.98	-0.29
Accounts Payable	0.44	0.59	0.13	-0.93		0.55	0.74	0.12	-0.05	0.83	0.29	0.19	0.64	0.79	-0.6	-0.93	0.41
Long Term Debt	0.79	0.97	0.8	-0.6	0.55		0.7	0.32	0.74	0.84	0.9	0.91	0.99	0.88	0.14	-0.48	0.46
Net Receivables	0.61	0.83	0.55	-0.71	0.74	0.7		0.69	0.12	0.95	0.64	0.53	0.81	0.94	-0.54	-0.72	0.88
Good Will	0.33	0.49	0.66	0.02	0.12	0.32	0.69		0.13	0.51	0.59	0.45	0.42	0.51	-0.22	-0.02	0.95
Short Term Investments	0.55	0.62	0.82	0.03	-0.05	0.74	0.12	0.13		0.3	0.82	0.89	0.63	0.37	0.76	0.19	0.07
Total Liab	0.7	0.92	0.6	-0.81	0.83	0.84	0.95	0.51	0.3		0.72	0.64	0.92	1.0	-0.39	-0.77	0.73
Net Invested Capital	0.73	0.9	0.98	-0.26	0.29	0.9	0.64	0.59	0.82	0.72		0.98	0.88	0.76	0.31	-0.15	0.61
Long Term Investments	0.73	0.88	0.95	-0.23	0.19	0.91	0.53	0.45	0.89	0.64	0.98		0.87	0.69	0.43	-0.1	0.47
Short Long Term Debt	0.79	1.0	0.78	-0.67	0.64	0.99	0.81	0.42	0.63	0.92	0.88	0.87		0.95	-0.02	-0.58	0.58
Total Current Assets	0.73	0.95	0.64	-0.78	0.79	0.88	0.94	0.51	0.37	1.0	0.76	0.69	0.95		-0.32	-0.74	0.72
Capital Stock	0.05	-0.03	0.39	0.58	-0.6	0.14	-0.54	-0.22	0.76	-0.39	0.31	0.43	-0.02	-0.32		0.71	-0.43
Net Working Capital	-0.39	-0.54	0.03	0.98	-0.93	-0.48	-0.72	-0.02	0.19	-0.77	-0.15	-0.1	-0.58	-0.74	0.71		-0.34
Intangible Assets	0.45	0.64	0.62	-0.29	0.41	0.46	0.88	0.95	0.07	0.73	0.61	0.47	0.58	0.72	-0.43	-0.34

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The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.

Competition

Predict Hyperscale Data,

Based on the latest financial disclosure, Hyperscale Data, has a Price To Sales of 0.0542 times. This is 99.8% lower than that of the Internet Software & Services (discontinued effective close of September 28, 2018) sector and 99.01% lower than that of the Information Technology industry. The price to sales for all United States stocks is 99.53% higher than that of the company.

Hyperscale Price To Sales Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Hyperscale Data,'s direct or indirect competition against its Price To Sales to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Hyperscale Data, could also be used in its relative valuation, which is a method of valuing Hyperscale Data, by comparing valuation metrics of similar companies.

Hyperscale Data, is currently under evaluation in price to sales category among its peers.

Hyperscale Fundamentals

	Return On Equity	-2.09
	Return On Asset	-0.12
	Profit Margin	(0.99) %
	Operating Margin	(0.67) %
	Current Valuation	131.57 M
	Shares Outstanding	38.85 M
	Shares Owned By Insiders	0.10 %
	Shares Owned By Institutions	1.81 %
	Number Of Shares Shorted	1.25 M
	Price To Book	0.31 X
	Price To Sales	0.05 X
	Revenue	156.44 M
	EBITDA	(38.33 M)
	Net Income	(231.03 M)
	Total Debt	27 M
	Book Value Per Share	0.74 X
	Cash Flow From Operations	(5.43 M)
	Short Ratio	1.03 X
	Earnings Per Share	1,982 X
	Number Of Employees	587
	Beta	3.44
	Market Capitalization	8.36 M
	Total Asset	299.19 M
	Retained Earnings	(567.47 M)
	Working Capital	(66.34 M)
	Net Asset	299.19 M

About Hyperscale Data, Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Hyperscale Data,'s financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Hyperscale Data, using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Hyperscale Data, based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.

Please read more on our fundamental analysis page.

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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.

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