Allied Net Income From Continuing Ops from 2010 to 2026

AP-UN Stock  CAD 9.49  0.33  3.60%   
Allied Properties Net Loss yearly trend continues to be comparatively stable with very little volatility. Net Loss is likely to outpace its year average in 2026. From the period from 2010 to 2026, Allied Properties Net Loss quarterly data regression had r-value of (0.62) and coefficient of variation of  1,161. View All Fundamentals
 
Net Loss  
First Reported
2016-12-31
Previous Quarter
-94.7 M
Current Value
-1 B
Quarterly Volatility
228.4 M
 
Covid
 
Interest Hikes
Check Allied Properties financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Allied Properties' main balance sheet or income statement drivers, such as Depreciation And Amortization of 1.8 M, Interest Expense of 142.2 M or Selling General Administrative of 13 M, as well as many indicators such as Price To Sales Ratio of 5.12, Dividend Yield of 0.12 or PTB Ratio of 0.47. Allied financial statements analysis is a perfect complement when working with Allied Properties Valuation or Volatility modules.
  
This module can also supplement various Allied Properties Technical models . Check out the analysis of Allied Properties Correlation against competitors.
The evolution of Net Income From Continuing Ops for Allied Properties Real provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Allied Properties compares to historical norms and industry peers.

Latest Allied Properties' Net Income From Continuing Ops Growth Pattern

Below is the plot of the Net Income From Continuing Ops of Allied Properties Real over the last few years. It is Allied Properties' Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Allied Properties' overall financial position and show how it may be relating to other accounts over time.
Net Income From Continuing Ops10 Years Trend
Slightly volatile
   Net Income From Continuing Ops   
       Timeline  

Allied Net Income From Continuing Ops Regression Statistics

Arithmetic Mean50,236,976
Geometric Mean375,968,526
Coefficient Of Variation1,161
Mean Deviation432,690,860
Median238,624,000
Standard Deviation583,059,162
Sample Variance339958T
Range2B
R-Value(0.62)
Mean Square Error224369.5T
R-Squared0.38
Significance0.01
Slope(71,293,819)
Total Sum of Squares5439327.8T

Allied Net Income From Continuing Ops History

2026-1.3 B
2025-1.3 B
2024-342.5 M
2023-545.7 M
2022174.7 M
2021443.2 M
2020500.7 M

About Allied Properties Financial Statements

Allied Properties shareholders use historical fundamental indicators, such as Net Income From Continuing Ops, to determine how well the company is positioned to perform in the future. Although Allied Properties investors may analyze each financial statement separately, they are all interrelated. The changes in Allied Properties' assets and liabilities, for example, are also reflected in the revenues and expenses on on Allied 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 Loss-1.3 B-1.3 B

Pair Trading with Allied 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 Allied 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 Allied Properties will appreciate offsetting losses from the drop in the long position's value.

Moving against Allied Stock

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The ability to find closely correlated positions to Allied 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 Allied 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 Allied 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 Allied Properties Real to buy it.
The correlation of Allied 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 Allied Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Allied Properties Real 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 Allied 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 Allied Stock Analysis

When running Allied Properties' price analysis, check to measure Allied 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 Allied Properties is operating at the current time. Most of Allied Properties' value examination focuses on studying past and present price action to predict the probability of Allied Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Allied Properties' price. Additionally, you may evaluate how the addition of Allied Properties to your portfolios can decrease your overall portfolio volatility.