Realty Income Revenues USD Trend

O -- USA Stock  

USD 55.79  1.20  2.11%

This module enables investors to look at Realty Income various fundamental indicators over time in order to gain insight into the company future performance. Macroaxis historical fundamental analysis tools allow evaluation of not only typical financial statement drivers such as Consolidated Income of 335.1 M or Cost of Revenue of 65.1 M, but also many exotic indicators such as Interest Coverage of 40.3635 or Long Term Debt to Equity of 0.872. This module is a perfect complement to use when analyzing Realty Income Valuation or Volatility. It can also complement various Realty Income Technical models. Additionally take a look at analysis of Realty Income Correlation with competitors.
Showing smoothed Revenues USD of Realty Income Corporation with missing and latest data points interpolated. Revenues in USD; converted by [FXUSD].
Revenues USD10 Years Trend
Increasing
Slightly volatile
 Revenues USD 
      Timeline 

Realty Income Regression Statistics

Arithmetic Mean 665,460,475
Geometric Mean 551,306,058
Coefficient Of Variation 55.43
Mean Deviation 332,445,142
Median 780,209,000
Standard Deviation 368,891,728
Range 1,083,741,706
R Value 0.97
R Squared 0.94
Significance 0.00000015
Slope 99,366,443

Realty Income Revenues USD Over Time

2016-12-31  1,023,285,000 
2017-12-31  1,023,285,000 
2018-12-31  1,203,864,706 

Other Fundumenentals of Realty Income

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Realty Income Fundamental Drivers

Realty Income Corporation Fundamental Market Drivers

Short Percent Of Float9.86%
Forward Price Earnings42.59
Shares Short Prior Month18.95M
Average Daily Volume Last 10 Day1.94M
Average Daily Volume In Three Month1.69M
Date Short InterestAugust 31, 2018
Fifty Day Average57.887
Two Hundred Day Average53.911

Realty Income Upcoming Events

Realty Income Upcoming Company Events

Upcoming Quarterly ReportFebruary 22, 2017
Next Earnings ReportApril 25, 2017
Additionally take a look at analysis of Realty Income Correlation with competitors. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.
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