This module uses fundamental data of Realty Income to approximate its Piotroski F score. Realty Income F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Realty Income. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Realty Income financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Realty Income Altman Z Score, Realty Income Correlation, Realty Income Valuation, as well as analyze Realty Income Alpha and Beta and Realty Income Hype Analysis.
At this time, Realty Income's Short and Long Term Debt Total is very stable compared to the past year. As of the 8th of November 2024, Net Debt is likely to grow to about 22.8 B, while Short and Long Term Debt is likely to drop about 726.2 M. At this time, Realty Income's PB Ratio is very stable compared to the past year. As of the 8th of November 2024, Free Cash Flow Per Share is likely to grow to 4.38, while Price To Sales Ratio is likely to drop 7.69.
At this time, it appears that Realty Income's Piotroski F Score is Healthy. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
The critical factor to consider when applying the Piotroski F Score to Realty Income is to make sure Realty is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Realty Income's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Realty Income's financial numbers are properly reported.
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Realty Income's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Realty Income in a much-optimized way.
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
Free Cash Flow
3.03 Billion
At this time, Realty Income's Free Cash Flow is very stable compared to the past year.
Realty Income Current Valuation Drivers
We derive many important indicators used in calculating different scores of Realty Income from analyzing Realty Income's financial statements. These drivers represent accounts that assess Realty Income's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Realty Income's important valuation drivers and their relationship over time.
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, Realty Income's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Realty Income's managers, analysts, and investors.
Environmental
Governance
Social
About Realty Income Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Realty Income's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Realty Income using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Realty Income 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.
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 Realty Income 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 Realty Income will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Realty Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Realty Income 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 Realty Income - 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 Realty Income to buy it.
The correlation of Realty Income 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 Realty Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Realty Income 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 Realty Income 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.
To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Is Retail REITs space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Realty Income. If investors know Realty will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Realty Income listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.09)
Dividend Share
3.111
Earnings Share
1.04
Revenue Per Share
6.077
Quarterly Revenue Growth
0.286
The market value of Realty Income is measured differently than its book value, which is the value of Realty that is recorded on the company's balance sheet. Investors also form their own opinion of Realty Income's value that differs from its market value or its book value, called intrinsic value, which is Realty Income'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 Realty Income's market value can be influenced by many factors that don't directly affect Realty Income'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 Realty Income's value and its price as these two are different measures arrived at by different means. Investors typically determine if Realty Income is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Realty Income'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.