Big Tech 50 Stock Price To Sales
| BIGT Stock | 143.90 3.40 2.31% |
Big Tech 50 fundamentals help investors to digest information that contributes to Big Tech's financial success or failures. It also enables traders to predict the movement of Big Stock. The fundamental analysis module provides a way to measure Big Tech'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 Big Tech stock.
Big |
Big Tech 50 Company Price To Sales Analysis
Big Tech'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.
Current Big Tech Price To Sales | 9.46 X |
Most of Big Tech'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, Big Tech 50 is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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 |
Based on the latest financial disclosure, Big Tech 50 has a Price To Sales of 9.4586 times. This is 337.9% higher than that of the Financial Services sector and 47.33% higher than that of the Asset Management industry. The price to sales for all Israel stocks is 17.18% higher than that of the company.
Big Price To Sales Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Big Tech'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 Big Tech could also be used in its relative valuation, which is a method of valuing Big Tech by comparing valuation metrics of similar companies.Big Tech is currently under evaluation in price to sales category among its peers.
Big Fundamentals
| Return On Equity | -0.16 | |||
| Return On Asset | -0.065 | |||
| Operating Margin | 1.59 % | |||
| Shares Outstanding | 13.93 M | |||
| Shares Owned By Insiders | 17.95 % | |||
| Shares Owned By Institutions | 46.26 % | |||
| Price To Sales | 9.46 X | |||
| Revenue | (2.13 M) | |||
| Gross Profit | 5.04 M | |||
| EBITDA | 2.67 M | |||
| Book Value Per Share | 2.10 X | |||
| Earnings Per Share | 0.09 X | |||
| Beta | -0.0863 | |||
| Market Capitalization | 26.04 M | |||
| Annual Yield | 0.44 % | |||
| Last Dividend Paid | 0.07 |
About Big Tech Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Big Tech 50's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Big Tech using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Big Tech 50 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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Big Tech financial ratios help investors to determine whether Big Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Big with respect to the benefits of owning Big Tech security.