First Trust Exchange Traded Etf Revenue
SCIO Etf | USD 20.36 0.03 0.15% |
First Trust Exchange Traded fundamentals help investors to digest information that contributes to First Trust's financial success or failures. It also enables traders to predict the movement of First Etf. The fundamental analysis module provides a way to measure First Trust'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 First Trust etf.
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First Trust Exchange Traded ETF Revenue Analysis
First Trust's Revenue is income that a firm generates from business activities such us rendering services or selling goods to customers. It is a crucial part of a business and an essential item when evaluating a company's financial statements. Revenues from a firm's primary business operations can be reported on the income statement as sales revenue, net sales, or simply sales, depending on the industry in which a given company operates.
Current First Trust Revenue | 616.76 K |
Most of First Trust's fundamental indicators, such as Revenue, 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, First Trust Exchange Traded is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
First Revenue Historical Pattern
Today, most investors in First Trust Etf are looking for potential investment opportunities by analyzing not only static indicators but also various First Trust's growth ratios. Consistent increases or drops in fundamental ratios usually indicate a possible pattern that can be successfully translated into profits. However, when comparing two companies, knowing each company's revenue growth rates may not be enough to decide which company is a better investment. That's why investors frequently use a static breakdown of First Trust revenue as a starting point in their analysis.
First Trust Revenue |
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Revenue is typically recorded when cash or cash equivalents are exchanged for services or goods and can include products or services discounts, promotions, as well as early payments on invoices or services rendered in advance.
Competition |
Based on the latest financial disclosure, First Trust Exchange Traded reported 616.76 K of revenue. This is much higher than that of the Metals & Mining family and significantly higher than that of the Materials category. The revenue for all United States etfs is notably lower than that of the firm.
First Revenue Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses First Trust's direct or indirect competition against its Revenue to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of First Trust could also be used in its relative valuation, which is a method of valuing First Trust by comparing valuation metrics of similar companies.First Trust is currently under evaluation in revenue as compared to similar ETFs.
First Fundamentals
Price To Earning | (0.64) X | ||||
Revenue | 616.76 K | ||||
EBITDA | (2.15 M) | ||||
Net Income | (3.62 M) | ||||
Cash And Equivalents | 183.52 K | ||||
Total Debt | 99 K | ||||
Debt To Equity | 57.80 % | ||||
Current Ratio | 0.11 X | ||||
Cash Flow From Operations | (1.93 M) | ||||
Market Capitalization | 839.13 K | ||||
Total Asset | 10.24 M | ||||
Working Capital | (1.23 M) | ||||
Current Asset | 484 K | ||||
Current Liabilities | 1.71 M | ||||
Annual Yield | 0 % | ||||
Net Asset | 10.24 M |
About First Trust Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze First Trust Exchange Traded's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of First Trust using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of First Trust Exchange Traded based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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.
Pair Trading with First Trust
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if First Trust position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in First Trust will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to First Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Trust when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back First Trust - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling First Trust Exchange Traded to buy it.
The correlation of First Trust is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as First Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Trust Exchange moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for First Trust can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out First Trust Piotroski F Score and First Trust Altman Z Score analysis. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
The market value of First Trust Exchange is measured differently than its book value, which is the value of First that is recorded on the company's balance sheet. Investors also form their own opinion of First Trust's value that differs from its market value or its book value, called intrinsic value, which is First Trust's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because First Trust's market value can be influenced by many factors that don't directly affect First Trust's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between First Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if First Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, First Trust's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.