Realty Price To Sales Ratio from 2010 to 2024

O Stock  USD 58.32  0.57  0.99%   
Realty Income Price To Sales Ratio yearly trend continues to be very stable with very little volatility. Price To Sales Ratio is likely to drop to 7.69. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Realty Income's market cap by its total sales or revenue over a 12-month period. View All Fundamentals
 
Price To Sales Ratio  
First Reported
2010-12-31
Previous Quarter
9.74548158
Current Value
7.69
Quarterly Volatility
2.40671979
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Realty Income financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Realty Income's main balance sheet or income statement drivers, such as Interest Expense of 818 M or Total Revenue of 4.3 B, as well as many indicators such as Price To Sales Ratio of 7.69 or Dividend Yield of 0.0743. Realty financial statements analysis is a perfect complement when working with Realty Income Valuation or Volatility modules.
  
Check out the analysis of Realty Income Correlation against competitors.
To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.

Latest Realty Income's Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Realty Income over the last few years. Price to Sales Ratio is figured by comparing Realty Income stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Realty Income sales, a figure that is much harder to manipulate than other Realty Income multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. It is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period. Realty Income's Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Realty Income's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 10.08 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

Realty Price To Sales Ratio Regression Statistics

Arithmetic Mean11.21
Geometric Mean10.94
Coefficient Of Variation21.48
Mean Deviation1.87
Median11.52
Standard Deviation2.41
Sample Variance5.79
Range8.8503
R-Value0.30
Mean Square Error5.66
R-Squared0.09
Significance0.27
Slope0.16
Total Sum of Squares81.09

Realty Price To Sales Ratio History

2024 7.69
2023 9.75
2022 11.61
2021 14.26
2020 12.59
2019 15.1
2018 13.31

About Realty Income Financial Statements

Realty Income investors utilize fundamental indicators, such as Price To Sales Ratio, to predict how Realty Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Price To Sales Ratio 9.75  7.69 

Pair Trading with Realty Income

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.

Moving together with Realty Stock

  0.74FR First Industrial RealtyPairCorr

Moving against Realty Stock

  0.74UE Urban Edge PropertiesPairCorr
  0.65WELL WelltowerPairCorr
  0.58AKR Acadia Realty TrustPairCorr
  0.54EQIX EquinixPairCorr
  0.5PK Park Hotels ResortsPairCorr
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.
Pair CorrelationCorrelation Matching
Check out the analysis of Realty Income Correlation against competitors.
To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.
You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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
1.05
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.