Boston Net Income Per Share from 2010 to 2024

BXP Stock  USD 81.99  0.87  1.05%   
Boston Properties Net Income Per Share yearly trend continues to be relatively stable with very little volatility. Net Income Per Share is likely to drop to 1.15. During the period from 2010 to 2024, Boston Properties Net Income Per Share destribution of quarterly values had range of 4.5239 from its regression line and mean deviation of  1.22. View All Fundamentals
 
Net Income Per Share  
First Reported
2010-12-31
Previous Quarter
1.21261865
Current Value
1.15
Quarterly Volatility
1.39256364
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Boston Properties financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Boston Properties' main balance sheet or income statement drivers, such as Depreciation And Amortization of 503.1 M, Interest Expense of 601.5 M or Selling General Administrative of 197.3 M, as well as many indicators such as Price To Sales Ratio of 4.62, Dividend Yield of 0.0618 or PTB Ratio of 3.08. Boston financial statements analysis is a perfect complement when working with Boston Properties Valuation or Volatility modules.
  
Check out the analysis of Boston Properties Correlation against competitors.
To learn how to invest in Boston Stock, please use our How to Invest in Boston Properties guide.

Latest Boston Properties' Net Income Per Share Growth Pattern

Below is the plot of the Net Income Per Share of Boston Properties over the last few years. It is Boston Properties' Net Income Per Share historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Boston Properties' overall financial position and show how it may be relating to other accounts over time.
Net Income Per Share10 Years Trend
Pretty Stable
   Net Income Per Share   
       Timeline  

Boston Net Income Per Share Regression Statistics

Arithmetic Mean2.46
Geometric Mean1.98
Coefficient Of Variation56.51
Mean Deviation1.22
Median2.90
Standard Deviation1.39
Sample Variance1.94
Range4.5239
R-Value(0.19)
Mean Square Error2.01
R-Squared0.04
Significance0.50
Slope(0.06)
Total Sum of Squares27.15

Boston Net Income Per Share History

2024 1.15
2023 1.21
2022 3.72
2021 0.54
2020 3.38
2019 0.4
2018 3.77

About Boston Properties Financial Statements

Boston Properties shareholders use historical fundamental indicators, such as Net Income Per Share, to determine how well the company is positioned to perform in the future. Although Boston Properties investors may analyze each financial statement separately, they are all interrelated. The changes in Boston Properties' assets and liabilities, for example, are also reflected in the revenues and expenses on on Boston Properties' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Income Per Share 1.21  1.15 

Pair Trading with Boston Properties

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 Boston Properties 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 Boston Properties will appreciate offsetting losses from the drop in the long position's value.

Moving together with Boston Stock

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Moving against Boston Stock

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The ability to find closely correlated positions to Boston Properties could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Boston Properties 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 Boston Properties - 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 Boston Properties to buy it.
The correlation of Boston Properties 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 Boston Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Boston Properties 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 Boston Properties 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

Additional Tools for Boston Stock Analysis

When running Boston Properties' price analysis, check to measure Boston Properties' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Boston Properties is operating at the current time. Most of Boston Properties' value examination focuses on studying past and present price action to predict the probability of Boston Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Boston Properties' price. Additionally, you may evaluate how the addition of Boston Properties to your portfolios can decrease your overall portfolio volatility.