Ftai Infrastructure Stock Last Dividend Paid

FIP Stock  USD 8.46  0.05  0.59%   
FTAI Infrastructure fundamentals help investors to digest information that contributes to FTAI Infrastructure's financial success or failures. It also enables traders to predict the movement of FTAI Stock. The fundamental analysis module provides a way to measure FTAI Infrastructure'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 FTAI Infrastructure stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

FTAI Infrastructure Company Last Dividend Paid Analysis

FTAI Infrastructure's Last Dividend Paid refers to dividend per share(DPS) paid to the shareholder the last time dividends were issued by a company. In its conventional sense, dividends refer to the distribution of some of a company's net earnings or capital gains decided by the board of directors.

Last Dividend

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Last Profit Distribution Amount

Total Shares

More About Last Dividend Paid | All Equity Analysis

Current FTAI Infrastructure Last Dividend Paid

    
  0.12  
Most of FTAI Infrastructure's fundamental indicators, such as Last Dividend Paid, 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, FTAI Infrastructure is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

FTAI Last Dividend Paid Driver Correlations

Understanding the fundamental principles of building solid financial models for FTAI Infrastructure is extremely important. It helps to project a fair market value of FTAI Stock properly, considering its historical fundamentals such as Last Dividend Paid. Since FTAI Infrastructure'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 FTAI Infrastructure'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 FTAI Infrastructure's interrelated accounts and indicators.
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Many stable companies today pay out dividends to their shareholders in the form of the income distribution, but high-growth firms rarely offer dividends because all of their earnings are reinvested back to the business.
Competition

Based on the recorded statements, FTAI Infrastructure has a Last Dividend Paid of 0.12. This is much higher than that of the Machinery sector and significantly higher than that of the Industrials industry. The last dividend paid for all United States stocks is notably lower than that of the firm.

FTAI Last Dividend Paid Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses FTAI Infrastructure's direct or indirect competition against its Last Dividend Paid to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of FTAI Infrastructure could also be used in its relative valuation, which is a method of valuing FTAI Infrastructure by comparing valuation metrics of similar companies.
FTAI Infrastructure is currently under evaluation in last dividend paid category among its peers.

FTAI Infrastructure ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, FTAI Infrastructure's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to FTAI Infrastructure's managers, analysts, and investors.
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FTAI Fundamentals

About FTAI Infrastructure Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze FTAI Infrastructure's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of FTAI Infrastructure using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of FTAI Infrastructure 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.

Pair Trading with FTAI Infrastructure

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 FTAI Infrastructure 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 FTAI Infrastructure will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to FTAI Infrastructure could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FTAI Infrastructure 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 FTAI Infrastructure - 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 FTAI Infrastructure to buy it.
The correlation of FTAI Infrastructure 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 FTAI Infrastructure moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FTAI Infrastructure 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 FTAI Infrastructure 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.
Pair CorrelationCorrelation Matching

Additional Tools for FTAI Stock Analysis

When running FTAI Infrastructure's price analysis, check to measure FTAI Infrastructure'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 FTAI Infrastructure is operating at the current time. Most of FTAI Infrastructure's value examination focuses on studying past and present price action to predict the probability of FTAI Infrastructure's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FTAI Infrastructure's price. Additionally, you may evaluate how the addition of FTAI Infrastructure to your portfolios can decrease your overall portfolio volatility.