Realty Change In Cash from 2010 to 2026

O Stock  USD 61.16  0.63  1.04%   
Realty Income Change In Cash yearly trend continues to be very stable with very little volatility. Change In Cash is likely to grow to about 245.5 M this year. During the period from 2010 to 2026, Realty Income Change In Cash quarterly data regression pattern had sample variance of 62327.1 T and median of  8,929,000. View All Fundamentals
 
Change In Cash  
First Reported
1994-12-31
Previous Quarter
491.1 M
Current Value
-398.6 M
Quarterly Volatility
126.2 M
 
Dot-com Bubble
 
Housing Crash
 
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 Change In Cash 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 Change In Cash Growth Pattern

Below is the plot of the Change In Cash of Realty Income over the last few years. It is Realty Income's Change In Cash 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.
Change In Cash10 Years Trend
Pretty Stable
   Change In Cash   
       Timeline  

Realty Change In Cash Regression Statistics

Arithmetic Mean58,204,461
Geometric Mean38,829,253
Coefficient Of Variation428.93
Mean Deviation145,485,827
Median8,929,000
Standard Deviation249,653,920
Sample Variance62327.1T
Range1.3B
R-Value0.22
Mean Square Error63149.7T
R-Squared0.05
Significance0.39
Slope11,068,873
Total Sum of Squares997233.3T

Realty Change In Cash History

2026245.5 M
2025233.8 M
2024203.3 M
202365.3 M
2022-105.5 M
2021-518.3 M
2020779.7 M

About Realty Income Financial Statements

Realty Income investors utilize fundamental indicators, such as Change In Cash, 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
Change In Cash233.8 M245.5 M

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

  0.81SUPR Supermarket Income REITPairCorr
  0.62PLZ-UN Plaza Retail REITPairCorr
  0.74FCD-UN Firm Capital PropertyPairCorr

Moving against Realty Stock

  0.48OPINL Office Properties IncomePairCorr
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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
1.08
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.