Realty Income Stock Market Value
| O Stock | USD 65.66 0.00 0.00% |
| Symbol | Realty |
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.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Realty Income on November 18, 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 | 0.9409 | |||
| Information Ratio | 0.2012 | |||
| Maximum Drawdown | 3.35 | |||
| Value At Risk | (1.40) | |||
| 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 | 0.2245 | |||
| Jensen Alpha | 0.2428 | |||
| Total Risk Alpha | 0.1777 | |||
| Sortino Ratio | 0.1983 | |||
| Treynor Ratio | 3.98 |
Realty Income February 16, 2026 Technical Indicators
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| Risk Adjusted Performance | 0.2245 | |||
| Market Risk Adjusted Performance | 3.99 | |||
| Mean Deviation | 0.7643 | |||
| Semi Deviation | 0.6821 | |||
| Downside Deviation | 0.9409 | |||
| Coefficient Of Variation | 361.48 | |||
| Standard Deviation | 0.9273 | |||
| Variance | 0.8599 | |||
| Information Ratio | 0.2012 | |||
| Jensen Alpha | 0.2428 | |||
| Total Risk Alpha | 0.1777 | |||
| Sortino Ratio | 0.1983 | |||
| Treynor Ratio | 3.98 | |||
| Maximum Drawdown | 3.35 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.63 | |||
| Downside Variance | 0.8853 | |||
| Semi Variance | 0.4653 | |||
| Expected Short fall | (0.86) | |||
| Skewness | (0.40) | |||
| Kurtosis | (0.59) |
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 0.26, which implies the firm had a 0.26 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Realty Income, which you can use to evaluate the volatility of the company. Please evaluate Realty Income's Semi Deviation of 0.6821, risk adjusted performance of 0.2245, and Coefficient Of Variation of 361.48 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 20. The company holds a Beta of 0.062, 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 maximum drawdown, and the relationship between the information ratio and expected short fall , to make a quick decision on whether Realty Income's historical price patterns will revert.
Auto-correlation | 0.09 |
Virtually no predictability
Realty Income has virtually no predictability. Overlapping area represents the amount of predictability between Realty Income time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 0.09 indicates that less than 9.0% of current Realty Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 5.99 |
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
| 0.73 | UE | Urban Edge Properties | PairCorr |
| 0.73 | CRT-UN | CT Real Estate Earnings Call Tomorrow | PairCorr |
| 0.87 | SUPR | Supermarket Income REIT | PairCorr |
Moving against Realty Stock
| 0.71 | WHLR | Wheeler Real Estate | PairCorr |
| 0.62 | LI | Klepierre SA Earnings Call This Week | PairCorr |
| 0.47 | CQR | Charter Hall Retail | PairCorr |
| 0.33 | DXC | Dexus Convenience Retail | 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 Realty Income Correlation, Realty Income Volatility and Realty Income Performance module to complement your research on Realty Income. To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Realty Income technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.