Realty Income Earnings Estimate
| O Stock | USD 63.09 0.14 0.22% |
Realty Income Revenue Breakdown by Earning Segment
By analyzing Realty Income's earnings estimates, investors can diagnose different trends across Realty Income's analyst sentiment over time as well as compare current estimates against different timeframes. At this time, Realty Income's Gross Profit is very stable compared to the past year. As of the 10th of February 2026, Pretax Profit Margin is likely to grow to 0.36, while Net Profit Margin is likely to drop 0.18. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Realty Income. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
Realty Income Earnings Estimation Breakdown
The calculation of Realty Income's earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of Realty Income is estimated to be 0.399925 with the future projection ranging from a low of 0.3675 to a high of 0.4525. Please be aware that this consensus of annual earnings estimates for Realty Income is based on EPS before non-recurring items and includes expenses related to employee stock options.Last Reported EPS
0.37 Lowest | Expected EPS | 0.45 Highest |
Realty Income Earnings Projection Consensus
Suppose the current estimates of Realty Income's value are higher than the current market price of the Realty Income stock. In this case, investors may conclude that Realty Income is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and Realty Income's stock will quickly adjusts to the new information provided by the consensus estimate.
| Number of Analysts | Historical Accuracy | Last Reported EPS | Estimated EPS for 31st of December 2026 | Current EPS (TTM) | |
| 24 | 68.98% | 0.0 | 0.399925 | 1.07 |
Realty Income Earnings History
Earnings estimate consensus by Realty Income analysts from Wall Street is used by the market to judge Realty Income's stock performance. Investors also use these earnings estimates to evaluate and project the stock performance into the future in order to make their investment decisions. However, we suggest analyzing not only Realty Income's upcoming profit reports and earnings-per-share forecasts but also comparing them to our different valuation methods.Realty Income Quarterly Gross Profit |
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Realty Income Earnings per Share Projection vs Actual
Actual Earning per Share of Realty Income refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering Realty Income predict the company's earnings will be in the future. The higher the earnings per share of Realty Income, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.Realty Income Estimated Months Earnings per Share
For an investor who is primarily interested in generating an income out of investing in entities such as Realty Income, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of Realty Income should always be considered in relation to other companies to make a more educated investment decision.Realty Quarterly Analyst Estimates and Surprise Metrics
Earnings surprises can significantly impact Realty Income's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
| Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
|---|---|---|---|---|---|---|---|
null | null | null | null | null | 0 | ||
null | null | null | null | null | 0 | ||
2025-11-03 | 2025-09-30 | 0.36 | 0.35 | -0.01 | 2 | ||
2025-08-06 | 2025-06-30 | 0.35 | 0.22 | -0.13 | 37 | ||
2025-05-05 | 2025-03-31 | 0.3287 | 0.2794 | -0.0493 | 14 | ||
2025-02-25 | 2024-12-31 | 0.3909 | 0.2174 | -0.1735 | 44 | ||
2024-11-04 | 2024-09-30 | 0.36 | 0.3 | -0.06 | 16 | ||
2024-08-05 | 2024-06-30 | 0.36 | 0.29 | -0.07 | 19 | ||
2024-05-06 | 2024-03-31 | 0.39 | 0.16 | -0.23 | 58 | ||
2024-02-20 | 2023-12-31 | 0.32 | 0.3 | -0.02 | 6 | ||
2023-11-06 | 2023-09-30 | 0.32 | 0.33 | 0.01 | 3 | ||
2023-08-02 | 2023-06-30 | 0.34 | 0.29 | -0.05 | 14 | ||
2023-05-03 | 2023-03-31 | 0.34 | 0.34 | 0.0 | 0 | ||
2023-02-21 | 2022-12-31 | 0.32 | 0.36 | 0.04 | 12 | ||
2022-11-02 | 2022-09-30 | 0.33 | 0.36 | 0.03 | 9 | ||
2022-08-03 | 2022-06-30 | 0.38 | 0.37 | -0.01 | 2 | ||
2022-05-04 | 2022-03-31 | 0.42 | 0.34 | -0.08 | 19 | ||
2022-02-22 | 2021-12-31 | 0.37 | 0.01 | -0.36 | 97 | ||
2021-11-01 | 2021-09-30 | 0.4 | 0.34 | -0.06 | 15 | ||
2021-08-02 | 2021-06-30 | 0.37 | 0.33 | -0.04 | 10 | ||
2021-05-03 | 2021-03-31 | 0.3 | 0.26 | -0.04 | 13 | ||
2021-02-22 | 2020-12-31 | 0.34 | 0.33 | -0.01 | 2 | ||
2020-11-02 | 2020-09-30 | 0.35 | 0.07 | -0.28 | 80 | ||
2020-08-03 | 2020-06-30 | 0.32 | 0.31 | -0.01 | 3 | ||
2020-05-04 | 2020-03-31 | 0.45 | 0.46 | 0.01 | 2 | ||
2020-02-19 | 2019-12-31 | 0.34 | 0.39 | 0.05 | 14 | ||
2019-11-04 | 2019-09-30 | 0.33 | 0.32 | -0.01 | 3 | ||
2019-08-05 | 2019-06-30 | 0.34 | 0.3 | -0.04 | 11 | ||
2019-05-01 | 2019-03-31 | 0.34 | 0.37 | 0.03 | 8 | ||
2019-02-20 | 2018-12-31 | 0.31 | 0.29 | -0.02 | 6 | ||
2018-10-31 | 2018-09-30 | 0.33 | 0.34 | 0.01 | 3 | ||
2018-08-01 | 2018-06-30 | 0.32 | 0.34 | 0.02 | 6 | ||
2018-05-08 | 2018-03-31 | 0.33 | 0.29 | -0.04 | 12 | ||
2018-02-21 | 2017-12-31 | 0.32 | 0.22 | -0.1 | 31 | ||
2017-10-25 | 2017-09-30 | 0.31 | 0.32 | 0.01 | 3 | ||
2017-07-26 | 2017-06-30 | 0.32 | 0.3 | -0.02 | 6 | ||
2017-04-25 | 2017-03-31 | 0.29 | 0.27 | -0.02 | 6 | ||
2017-02-22 | 2016-12-31 | 0.3 | 0.33 | 0.03 | 10 | ||
2016-10-26 | 2016-09-30 | 0.29 | 0.27 | -0.02 | 6 | ||
2016-07-28 | 2016-06-30 | 0.29 | 0.27 | -0.02 | 6 | ||
2016-04-26 | 2016-03-31 | 0.28 | 0.25 | -0.03 | 10 | ||
2016-02-10 | 2015-12-31 | 0.26 | 0.31 | 0.05 | 19 | ||
2015-10-28 | 2015-09-30 | 0.26 | 0.26 | 0.0 | 0 | ||
2015-07-29 | 2015-06-30 | 0.25 | 0.25 | 0.0 | 0 | ||
2015-04-29 | 2015-03-31 | 0.24 | 0.27 | 0.03 | 12 | ||
2015-02-17 | 2014-12-31 | 0.23 | 0.32 | 0.09 | 39 | ||
2014-10-29 | 2014-09-30 | 0.23 | 0.26 | 0.03 | 13 | ||
2014-07-24 | 2014-06-30 | 0.23 | 0.23 | 0.0 | 0 | ||
2014-05-01 | 2014-03-31 | 0.21 | 0.22 | 0.01 | 4 | ||
2014-02-13 | 2013-12-31 | 0.21 | 0.26 | 0.05 | 23 | ||
2013-10-31 | 2013-09-30 | 0.21 | 0.21 | 0.0 | 0 | ||
2013-07-25 | 2013-06-30 | 0.21 | 0.23 | 0.02 | 9 | ||
2013-04-25 | 2013-03-31 | 0.21 | 0.42 | 0.21 | 100 | ||
2013-02-14 | 2012-12-31 | 0.24 | 0.25 | 0.01 | 4 | ||
2012-10-25 | 2012-09-30 | 0.25 | 0.24 | -0.01 | 4 | ||
2012-07-26 | 2012-06-30 | 0.24 | 0.25 | 0.01 | 4 | ||
2012-04-26 | 2012-03-31 | 0.24 | 0.2 | -0.04 | 16 | ||
2012-02-09 | 2011-12-31 | 0.28 | 0.26 | -0.02 | 7 | ||
2011-10-27 | 2011-09-30 | 0.27 | 0.27 | 0.0 | 0 | ||
2011-07-28 | 2011-06-30 | 0.27 | 0.26 | -0.01 | 3 | ||
2011-04-28 | 2011-03-31 | 0.27 | 0.25 | -0.02 | 7 | ||
2011-02-10 | 2010-12-31 | 0.26 | 0.29 | 0.03 | 11 | ||
2010-10-27 | 2010-09-30 | 0.24 | 0.25 | 0.01 | 4 | ||
2010-07-28 | 2010-06-30 | 0.24 | 0.24 | 0.0 | 0 | ||
2010-04-28 | 2010-03-31 | 0.25 | 0.23 | -0.02 | 8 | ||
2010-02-10 | 2009-12-31 | 0.24 | 0.28 | 0.04 | 16 | ||
2009-10-28 | 2009-09-30 | 0.23 | 0.26 | 0.03 | 13 | ||
2009-07-29 | 2009-06-30 | 0.23 | 0.26 | 0.03 | 13 | ||
2009-04-29 | 2009-03-31 | 0.25 | 0.23 | -0.02 | 8 | ||
2009-02-11 | 2008-12-31 | 0.24 | 0.27 | 0.03 | 12 | ||
2008-10-29 | 2008-09-30 | 0.24 | 0.29 | 0.05 | 20 | ||
2008-07-30 | 2008-06-30 | 0.25 | 0.27 | 0.02 | 8 | ||
2008-04-30 | 2008-03-31 | 0.27 | 0.24 | -0.03 | 11 | ||
2008-02-13 | 2007-12-31 | 0.31 | 0.24 | -0.07 | 22 | ||
2007-10-31 | 2007-09-30 | 0.31 | 0.25 | -0.06 | 19 | ||
2007-08-01 | 2007-06-30 | 0.29 | 0.26 | -0.03 | 10 | ||
2007-05-02 | 2007-03-31 | 0.3 | 0.28 | -0.02 | 6 | ||
2007-02-14 | 2006-12-31 | 0.3 | 0.29 | -0.01 | 3 | ||
2006-11-03 | 2006-09-30 | 0.28 | 0.26 | -0.02 | 7 | ||
2006-08-02 | 2006-06-30 | 0.28 | 0.27 | -0.01 | 3 | ||
2006-05-03 | 2006-03-31 | 0.28 | 0.25 | -0.03 | 10 | ||
2006-02-15 | 2005-12-31 | 0.28 | 0.26 | -0.02 | 7 | ||
2005-10-26 | 2005-09-30 | 0.29 | 0.25 | -0.04 | 13 | ||
2005-07-27 | 2005-06-30 | 0.27 | 0.28 | 0.01 | 3 | ||
2005-04-27 | 2005-03-31 | 0.26 | 0.27 | 0.01 | 3 | ||
2005-02-02 | 2004-12-31 | 0.27 | 0.25 | -0.02 | 7 | ||
2004-10-27 | 2004-09-30 | 0.24 | 0.23 | -0.01 | 4 | ||
2004-07-28 | 2004-06-30 | 0.22 | 0.21 | -0.01 | 4 |
About Realty Income Earnings Estimate
The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Realty Income earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current Realty Income estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as Realty Income fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.| Last Reported | Projected for Next Year | ||
| Retained Earnings | -7.8 B | -7.4 B | |
| Retained Earnings Total Equity | -4.9 B | -4.7 B | |
| Earnings Yield | 0.02 | 0.02 | |
| Price Earnings Ratio | 48.76 | 51.20 | |
| Price Earnings To Growth Ratio | (2.80) | (2.94) |
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
| 0.68 | WHLR | Wheeler Real Estate | PairCorr |
| 0.57 | OPINL | Office Properties Income | PairCorr |
| 0.46 | CQR | Charter Hall Retail Earnings Call This Week | PairCorr |
| 0.44 | DXC | Dexus Convenience Retail | PairCorr |
| 0.43 | PBCRF | PT Bank Central | 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 Your Equity Center to better understand how to build diversified portfolios, which includes a position in Realty Income. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment. To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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.