ABPRO Income Before Tax from 2010 to 2025

ABP Stock   0.74  0.02  2.63%   
ABPRO P Income Before Tax yearly trend continues to be relatively stable with very little volatility. Income Before Tax is likely to drop to about -11.1 M. During the period from 2010 to 2025, ABPRO P Income Before Tax destribution of quarterly values had range of 10.8 M from its regression line and mean deviation of  4,138,798. View All Fundamentals
 
Income Before Tax  
First Reported
2010-12-31
Previous Quarter
-10.5 M
Current Value
-11.1 M
Quarterly Volatility
4.8 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check ABPRO P financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among ABPRO P's main balance sheet or income statement drivers, such as Depreciation And Amortization of 956.3 K, Interest Expense of 25.1 K or Selling General Administrative of 7.6 M, as well as many indicators such as Price To Sales Ratio of 2.2 K, Dividend Yield of 0.0 or Days Sales Outstanding of 136. ABPRO financial statements analysis is a perfect complement when working with ABPRO P Valuation or Volatility modules.
  
Check out the analysis of ABPRO P Correlation against competitors.
To learn how to invest in ABPRO Stock, please use our How to Invest in ABPRO P guide.

Latest ABPRO P's Income Before Tax Growth Pattern

Below is the plot of the Income Before Tax of ABPRO P over the last few years. Income Before Tax which can also be referred as pre-tax income is reported on ABPRO P income statement and is an important metric when analyzing ABPRO P profitability. Accounting techniques because taxes can be complex, and not perfectly consistent from one company to company, an analyst may use pre-tax income as a more stable measure of profitability. It is ABPRO P's Income Before Tax historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in ABPRO P's overall financial position and show how it may be relating to other accounts over time.
Income Before Tax10 Years Trend
Slightly volatile
   Income Before Tax   
       Timeline  

ABPRO Income Before Tax Regression Statistics

Arithmetic Mean(10,801,098)
Geometric Mean9,807,620
Coefficient Of Variation(44.24)
Mean Deviation4,138,798
Median(10,535,400)
Standard Deviation4,778,164
Sample Variance22.8T
Range10.8M
R-Value(0.67)
Mean Square Error13.5T
R-Squared0.45
Significance0
Slope(671,457)
Total Sum of Squares342.5T

ABPRO Income Before Tax History

2025-11.1 M
2024-10.5 M
2023-11.7 M
2018-16.9 M
2017-12.3 M

About ABPRO P Financial Statements

ABPRO P shareholders use historical fundamental indicators, such as Income Before Tax, to determine how well the company is positioned to perform in the future. Although ABPRO P investors may analyze each financial statement separately, they are all interrelated. The changes in ABPRO P's assets and liabilities, for example, are also reflected in the revenues and expenses on on ABPRO P's 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
Income Before Tax-10.5 M-11.1 M

Pair Trading with ABPRO P

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 ABPRO P 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 ABPRO P will appreciate offsetting losses from the drop in the long position's value.

Moving against ABPRO Stock

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

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