New York Mortgage Stock Cash Per Share
NYMT Stock | USD 5.96 0.12 2.05% |
New York Mortgage fundamentals help investors to digest information that contributes to New York's financial success or failures. It also enables traders to predict the movement of New Stock. The fundamental analysis module provides a way to measure New York'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 New York stock.
Last Reported | Projected for Next Year | ||
Cash Per Share | 25.75 | 24.46 |
New | Cash Per Share |
New York Mortgage Company Cash Per Share Analysis
New York's Cash per Share is a ratio of current cash on hands or in the banks of the company to a total number of shares outstanding. It is used to determine a firm's liquidity and is a good indicator of the overall financial health of a company. Value investors often compare this ratio to the current stock quote, and if it exceeds the stock price they would invest in it.
Current New York Cash Per Share | 1.08 X |
Most of New York's fundamental indicators, such as Cash Per Share, 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, New York Mortgage is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
New Cash Per Share Driver Correlations
Understanding the fundamental principles of building solid financial models for New York is extremely important. It helps to project a fair market value of New Stock properly, considering its historical fundamentals such as Cash Per Share. Since New York'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 New York'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 New York's interrelated accounts and indicators.
Click cells to compare fundamentals
New Cash Per Share Historical Pattern
Today, most investors in New York Stock are looking for potential investment opportunities by analyzing not only static indicators but also various New York'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 cash per share growth rates may not be enough to decide which company is a better investment. That's why investors frequently use a static breakdown of New York cash per share as a starting point in their analysis.
New York Cash Per Share |
Timeline |
Companies with high Cash per Share ratio will be considered as an attractive investment by most investors. In most industries if you can single out an equity instrument trading below its cash per share value, you have a bargain and should consider buying it. Finding the stocks traded below their cash value, therefore, can be a good starting point for investors using strategies based on fundamentals.
Competition |
New Common Stock Shares Outstanding
Common Stock Shares Outstanding |
|
In accordance with the recently published financial statements, New York Mortgage has a Cash Per Share of 1.08 times. This is 40.66% lower than that of the Mortgage Real Estate Investment Trusts (REITs) sector and significantly higher than that of the Financials industry. The cash per share for all United States stocks is 78.44% higher than that of the company.
New Cash Per Share Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses New York's direct or indirect competition against its Cash Per Share to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of New York could also be used in its relative valuation, which is a method of valuing New York by comparing valuation metrics of similar companies.New York is currently under evaluation in cash per share category among its peers.
New York 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, New York's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to New York's managers, analysts, and investors.Environmental | Governance | Social |
New Fundamentals
Return On Equity | -0.1 | ||||
Return On Asset | -0.0253 | ||||
Profit Margin | (0.76) % | ||||
Operating Margin | (0.99) % | ||||
Current Valuation | 6.57 B | ||||
Shares Outstanding | 91.23 M | ||||
Shares Owned By Insiders | 1.56 % | ||||
Shares Owned By Institutions | 57.29 % | ||||
Number Of Shares Shorted | 2.83 M | ||||
Price To Earning | 6.03 X | ||||
Price To Book | 0.61 X | ||||
Price To Sales | 3.03 X | ||||
Revenue | 390.59 M | ||||
Gross Profit | (181.69 M) | ||||
EBITDA | 206.44 M | ||||
Net Income | (48.66 M) | ||||
Cash And Equivalents | 407.1 M | ||||
Cash Per Share | 1.08 X | ||||
Total Debt | 5.28 B | ||||
Debt To Equity | 2.27 % | ||||
Current Ratio | 52.15 X | ||||
Book Value Per Share | 10.41 X | ||||
Cash Flow From Operations | 30.05 M | ||||
Short Ratio | 3.78 X | ||||
Earnings Per Share | (1.86) X | ||||
Price To Earnings To Growth | 0.97 X | ||||
Target Price | 7.75 | ||||
Number Of Employees | 81 | ||||
Beta | 1.95 | ||||
Market Capitalization | 532.77 M | ||||
Total Asset | 7.4 B | ||||
Retained Earnings | (1.25 B) | ||||
Working Capital | (957.91 M) | ||||
Current Asset | 61.96 M | ||||
Current Liabilities | 1.02 B | ||||
Annual Yield | 0.14 % | ||||
Five Year Return | 14.15 % | ||||
Net Asset | 7.4 B | ||||
Last Dividend Paid | 1.0 |
About New York Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze New York Mortgage's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of New York using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of New York Mortgage 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 New York
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 New York 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 New York will appreciate offsetting losses from the drop in the long position's value.Moving against New Stock
0.85 | GS | Goldman Sachs Group Financial Report 17th of July 2024 | PairCorr |
0.82 | RM | Regional Management Corp | PairCorr |
0.76 | MS | Morgan Stanley Earnings Call This Week | PairCorr |
0.73 | BK | Bank of New York Sell-off Trend | PairCorr |
0.73 | TW | Tradeweb Markets | PairCorr |
The ability to find closely correlated positions to New York could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace New York 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 New York - 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 New York Mortgage to buy it.
The correlation of New York 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 New York moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if New York Mortgage 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 New York 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.Additional Tools for New Stock Analysis
When running New York's price analysis, check to measure New York'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 New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.