Realty Graham Number from 2010 to 2026

O Stock  USD 65.66  0.88  1.36%   
Realty Income Graham Number yearly trend continues to be very stable with very little volatility. Graham Number is likely to drop to 17.55. During the period from 2010 to 2026, Realty Income Graham Number quarterly data regression pattern had sample variance of  42.18 and median of  28.11. View All Fundamentals
 
Graham Number  
First Reported
2010-12-31
Previous Quarter
28.27
Current Value
17.55
Quarterly Volatility
6.49430495
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
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 1.2 B or Total Revenue of 6.4 B, as well as many indicators such as Price To Sales Ratio of 7.8 or Dividend Yield of 0.0743. Realty financial statements analysis is a perfect complement when working with Realty Income Valuation or Volatility modules.
  
Build AI portfolio with Realty Stock
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.
Evaluating Realty Income's Graham Number across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Realty Income's fundamental strength.

Latest Realty Income's Graham Number Growth Pattern

Below is the plot of the Graham Number of Realty Income over the last few years. It is Realty Income's Graham Number 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.
Graham Number10 Years Trend
Slightly volatile
   Graham Number   
       Timeline  

Realty Graham Number Regression Statistics

Arithmetic Mean27.50
Geometric Mean26.66
Coefficient Of Variation23.61
Mean Deviation4.50
Median28.11
Standard Deviation6.49
Sample Variance42.18
Range26.0369
R-Value0.49
Mean Square Error34.02
R-Squared0.24
Significance0.04
Slope0.63
Total Sum of Squares674.82

Realty Graham Number History

2026 17.55
2025 28.27
2024 31.41
2023 36.73
2022 38.74
2021 34.34
2020 28.75

About Realty Income Financial Statements

Realty Income investors utilize fundamental indicators, such as Graham Number, 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
Graham Number 28.27  17.55 

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

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Moving against Realty Stock

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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Will Retail REITs sector continue expanding? Could Realty diversify its offerings? Factors like these will boost the valuation of Realty Income. Anticipated expansion of Realty directly elevates investor willingness to pay premium valuations. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Realty Income data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth
0.152
Dividend Share
3.205
Earnings Share
1.07
Revenue Per Share
6.265
Quarterly Revenue Growth
0.103
Investors evaluate Realty Income using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Realty Income's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Realty Income's market price to deviate significantly from intrinsic value.
It's important to distinguish between Realty Income's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Realty Income should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Realty Income's market price signifies the transaction level at which participants voluntarily complete trades.