Realty Income Net Income
| O Stock | USD 63.23 0.13 0.21% |
As of the 8th of February, Realty Income holds the Risk Adjusted Performance of 0.1217, coefficient of variation of 674.23, and Semi Deviation of 1.02. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Realty Income, as well as the relationship between them.
Realty Income Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 15.477 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Income | 997.4 M | 1 B | |
| Net Income Applicable To Common Shares | 975.1 M | 1 B | |
| Net Income From Continuing Ops | 997.4 M | 1 B | |
| Net Income Per Share | 0.89 | 0.87 | |
| Net Income Per E B T | 1.06 | 1.11 |
Realty | Net Income | Build AI portfolio with Realty Stock |
Evaluating Realty Income's Net Income 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 Net Income Growth Pattern
Below is the plot of the Net Income of Realty Income over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Realty Income financial statement analysis. It represents the amount of money remaining after all of Realty Income operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Realty Income's Net Income 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.
| View | Last Reported 867.34 M | 10 Years Trend |
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Net Income |
| Timeline |
Realty Net Income Regression Statistics
| Arithmetic Mean | 467,850,117 | |
| Geometric Mean | 351,752,769 | |
| Coefficient Of Variation | 69.00 | |
| Mean Deviation | 269,706,871 | |
| Median | 359,456,000 | |
| Standard Deviation | 322,815,000 | |
| Sample Variance | 104209.5T | |
| Range | 1B | |
| R-Value | 0.93 | |
| Mean Square Error | 15205.1T | |
| R-Squared | 0.86 | |
| Slope | 59,393,900 | |
| Total Sum of Squares | 1667352.4T |
Realty Net Income History
Other Fundumenentals of Realty Income
| Net Income Applicable To Common Shares | ||
| Net Income From Continuing Ops | ||
| Net Income Per Share | ||
| Net Income Per E B T |
Realty Income Net Income component correlations
Realty Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Realty Income is extremely important. It helps to project a fair market value of Realty Stock properly, considering its historical fundamentals such as Net Income. Since Realty Income'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 Realty Income'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 Realty Income's interrelated accounts and indicators.
Click cells to compare fundamentals
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 | 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.
Realty Income 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Realty Income's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Realty Income.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Realty Income on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding Realty Income or generate 0.0% return on investment in Realty Income over 90 days. Realty Income is related to or competes with Federal Realty, Macerich, National Retail, Kimco Realty, Agree Realty, Simon Property, and Acadia Realty. Realty Income, The Monthly Dividend Company, is an SP 500 company dedicated to providing stockholders with dependable mo... More
Realty Income Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Realty Income's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Realty Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | 0.0609 | |||
| Maximum Drawdown | 3.54 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.63 |
Realty Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Realty Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Realty Income's standard deviation. In reality, there are many statistical measures that can use Realty Income historical prices to predict the future Realty Income's volatility.| Risk Adjusted Performance | 0.1217 | |||
| Jensen Alpha | 0.1339 | |||
| Total Risk Alpha | 0.0407 | |||
| Sortino Ratio | 0.0539 | |||
| Treynor Ratio | 1.38 |
Realty Income February 8, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1217 | |||
| Market Risk Adjusted Performance | 1.39 | |||
| Mean Deviation | 0.8129 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 1.16 | |||
| Coefficient Of Variation | 674.23 | |||
| Standard Deviation | 1.03 | |||
| Variance | 1.05 | |||
| Information Ratio | 0.0609 | |||
| Jensen Alpha | 0.1339 | |||
| Total Risk Alpha | 0.0407 | |||
| Sortino Ratio | 0.0539 | |||
| Treynor Ratio | 1.38 | |||
| Maximum Drawdown | 3.54 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.63 | |||
| Downside Variance | 1.34 | |||
| Semi Variance | 1.04 | |||
| Expected Short fall | (0.84) | |||
| Skewness | (0.84) | |||
| Kurtosis | 1.27 |
Realty Income Backtested Returns
Realty Income appears to be very steady, given 3 months investment horizon. Realty Income maintains Sharpe Ratio (i.e., Efficiency) of 0.23, which implies the firm had a 0.23 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Realty Income, which you can use to evaluate the volatility of the company. Please evaluate Realty Income's Coefficient Of Variation of 674.23, risk adjusted performance of 0.1217, and Semi Deviation of 1.02 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Realty Income holds a performance score of 18. The company holds a Beta of 0.1, which implies not very significant fluctuations relative to the market. As returns on the market increase, Realty Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Realty Income is expected to be smaller as well. Please check Realty Income's standard deviation, expected short fall, period momentum indicator, as well as the relationship between the maximum drawdown and rate of daily change , to make a quick decision on whether Realty Income's historical price patterns will revert.
Auto-correlation | 0.48 |
Average predictability
Realty Income has average predictability. Overlapping area represents the amount of predictability between Realty Income time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Realty Income price movement. The serial correlation of 0.48 indicates that about 48.0% of current Realty Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 4.77 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Realty Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Realty Income reported net income of 867.34 M. This is 248.21% higher than that of the Retail REITs sector and significantly higher than that of the Real Estate industry. The net income for all United States stocks is 51.9% lower than that of the firm.
Realty Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Realty Income's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Realty Income could also be used in its relative valuation, which is a method of valuing Realty Income by comparing valuation metrics of similar companies.Realty Income is currently under evaluation in net income category among its peers.
Realty Income 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, 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 |
Realty Income Institutional Holders
Institutional Holdings refers to the ownership stake in Realty Income that is held by large financial organizations, pension funds or endowments. Institutions may hold large blocks of Realty Income's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Realty Income's value.| Shares | Norges Bank | 2025-06-30 | 11.7 M | Charles Schwab Investment Management Inc | 2025-06-30 | 10.9 M | Legal & General Group Plc | 2025-06-30 | 10 M | Ubs Asset Mgmt Americas Inc | 2025-06-30 | 9.5 M | Apg Investments Us Inc | 2025-06-30 | 8.6 M | Amvescap Plc. | 2025-06-30 | 8.2 M | Goldman Sachs Group Inc | 2025-06-30 | 5.8 M | Bank Of New York Mellon Corp | 2025-06-30 | 5.8 M | Wells Fargo & Co | 2025-06-30 | 5.4 M | Vanguard Group Inc | 2025-06-30 | 146.1 M | Blackrock Inc | 2025-06-30 | 93.6 M |
Realty Fundamentals
| Return On Equity | 0.0249 | ||||
| Return On Asset | 0.0227 | ||||
| Profit Margin | 0.17 % | ||||
| Operating Margin | 0.45 % | ||||
| Current Valuation | 85.83 B | ||||
| Shares Outstanding | 918.11 M | ||||
| Shares Owned By Insiders | 0.09 % | ||||
| Shares Owned By Institutions | 80.43 % | ||||
| Number Of Shares Shorted | 32.06 M | ||||
| Price To Earning | 65.51 X | ||||
| Price To Book | 1.47 X | ||||
| Price To Sales | 10.34 X | ||||
| Revenue | 5.27 B | ||||
| Gross Profit | 5.2 B | ||||
| EBITDA | 4.33 B | ||||
| Net Income | 867.34 M | ||||
| Cash And Equivalents | 444.96 M | ||||
| Cash Per Share | 0.31 X | ||||
| Total Debt | 26.76 B | ||||
| Debt To Equity | 0.63 % | ||||
| Current Ratio | 1.46 X | ||||
| Book Value Per Share | 42.45 X | ||||
| Cash Flow From Operations | 3.57 B | ||||
| Short Ratio | 4.87 X | ||||
| Earnings Per Share | 1.07 X | ||||
| Price To Earnings To Growth | 5.75 X | ||||
| Target Price | 64.31 | ||||
| Number Of Employees | 468 | ||||
| Beta | 0.8 | ||||
| Market Capitalization | 58.05 B | ||||
| Total Asset | 68.84 B | ||||
| Retained Earnings | (8.65 B) | ||||
| Working Capital | 1.62 B | ||||
| Current Asset | 121.97 M | ||||
| Current Liabilities | 220.13 M | ||||
| Annual Yield | 0.05 % | ||||
| Five Year Return | 4.31 % | ||||
| Net Asset | 68.84 B | ||||
| Last Dividend Paid | 3.21 |
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.
Please read more on our fundamental analysis page.
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
Moving against Realty Stock
| 0.64 | WHLR | Wheeler Real Estate | PairCorr |
| 0.55 | OPINL | Office Properties Income | PairCorr |
| 0.52 | CMWCF | Cromwell Property | PairCorr |
| 0.45 | DXC | Dexus Convenience Retail Earnings Call Tomorrow | PairCorr |
| 0.44 | CQR | Charter Hall Retail Earnings Call This Week | PairCorr |
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.Check out To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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 | 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.