Automotive Income Before Tax vs Selling And Marketing Expenses Analysis

APR-UN Stock  CAD 11.44  0.05  0.44%   
Automotive Properties financial indicator trend analysis is way more than just evaluating Automotive Properties prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Automotive Properties is a good investment. Please check the relationship between Automotive Properties Income Before Tax and its Selling And Marketing Expenses accounts. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Automotive Properties Real. 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.

Income Before Tax vs Selling And Marketing Expenses

Income Before Tax vs Selling And Marketing Expenses Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Automotive Properties Income Before Tax account and Selling And Marketing Expenses. At this time, the significance of the direction appears to have weak contrarian relationship.
The correlation between Automotive Properties' Income Before Tax and Selling And Marketing Expenses is -0.16. Overlapping area represents the amount of variation of Income Before Tax that can explain the historical movement of Selling And Marketing Expenses in the same time period over historical financial statements of Automotive Properties Real, assuming nothing else is changed. The correlation between historical values of Automotive Properties' Income Before Tax and Selling And Marketing Expenses is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Income Before Tax of Automotive Properties Real are associated (or correlated) with its Selling And Marketing Expenses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Selling And Marketing Expenses has no effect on the direction of Income Before Tax i.e., Automotive Properties' Income Before Tax and Selling And Marketing Expenses go up and down completely randomly.

Correlation Coefficient

-0.16
Relationship DirectionNegative 
Relationship StrengthInsignificant

Income Before Tax

Income Before Tax which can also be referred as pre-tax income is reported on Automotive Properties income statement and is an important metric when analyzing Automotive Properties 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.

Selling And Marketing Expenses

Most indicators from Automotive Properties' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Automotive Properties current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Automotive Properties Real. 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.
The current year's Issuance Of Capital Stock is expected to grow to about 113.5 M, whereas Selling General Administrative is forecasted to decline to about 577.6 K.
 2021 2022 2023 2024 (projected)
Gross Profit67.1M70.6M78.4M42.3M
Total Revenue78.2M82.9M92.5M49.7M

Automotive Properties fundamental ratios Correlations

0.940.88-0.450.680.98-0.320.880.820.940.60.870.410.880.43-0.120.980.910.980.10.240.140.240.910.14-0.46
0.940.99-0.270.550.98-0.030.980.921.00.730.990.360.990.460.120.980.910.94-0.150.470.190.090.940.19-0.6
0.880.99-0.20.510.950.11.00.940.990.770.990.31.00.420.230.950.870.89-0.270.550.170.020.930.17-0.66
-0.45-0.27-0.2-0.31-0.30.32-0.21-0.23-0.270.24-0.24-0.78-0.24-0.260.22-0.33-0.26-0.29-0.240.290.150.15-0.190.15-0.22
0.680.550.51-0.310.62-0.440.50.510.550.250.470.080.480.23-0.270.630.560.660.26-0.020.150.330.630.15-0.29
0.980.980.95-0.30.62-0.190.940.870.980.690.940.350.940.46-0.020.990.920.99-0.010.370.190.220.950.19-0.56
-0.32-0.030.10.32-0.44-0.190.120.09-0.020.240.12-0.090.11-0.210.91-0.2-0.23-0.31-0.910.68-0.19-0.71-0.13-0.19-0.18
0.880.981.0-0.210.50.940.120.940.990.770.990.310.990.370.240.940.870.89-0.280.570.110.030.930.11-0.67
0.820.920.94-0.230.510.870.090.940.930.780.940.170.940.330.150.880.810.8-0.180.390.140.030.810.14-0.52
0.941.00.99-0.270.550.98-0.020.990.930.740.990.350.990.430.130.980.910.94-0.160.480.170.10.940.17-0.6
0.60.730.770.240.250.690.240.770.780.740.75-0.270.750.150.320.70.670.64-0.350.570.210.010.70.21-0.58
0.870.990.99-0.240.470.940.120.990.940.990.750.351.00.450.240.940.880.87-0.270.530.18-0.020.890.18-0.61
0.410.360.3-0.780.080.35-0.090.310.170.35-0.270.350.350.480.00.350.280.320.010.01-0.03-0.240.25-0.030.06
0.880.991.0-0.240.480.940.110.990.940.990.751.00.350.440.230.940.880.88-0.270.530.18-0.010.90.18-0.61
0.430.460.42-0.260.230.46-0.210.370.330.430.150.450.480.44-0.120.50.440.420.13-0.170.86-0.190.360.860.07
-0.120.120.230.22-0.27-0.020.910.240.150.130.320.240.00.23-0.12-0.02-0.04-0.12-1.00.8-0.14-0.760.06-0.14-0.29
0.980.980.95-0.330.630.99-0.20.940.880.980.70.940.350.940.5-0.020.940.98-0.010.330.250.170.940.25-0.54
0.910.910.87-0.260.560.92-0.230.870.810.910.670.880.280.880.44-0.040.940.910.00.310.210.190.850.21-0.53
0.980.940.89-0.290.660.99-0.310.890.80.940.640.870.320.880.42-0.120.980.910.080.320.170.330.960.17-0.58
0.1-0.15-0.27-0.240.26-0.01-0.91-0.28-0.18-0.16-0.35-0.270.01-0.270.13-1.0-0.010.00.08-0.840.150.72-0.110.150.36
0.240.470.550.29-0.020.370.680.570.390.480.570.530.010.53-0.170.80.330.310.32-0.84-0.26-0.270.49-0.26-0.74
0.140.190.170.150.150.19-0.190.110.140.170.210.18-0.030.180.86-0.140.250.210.170.15-0.26-0.130.151.00.15
0.240.090.020.150.330.22-0.710.030.030.10.01-0.02-0.24-0.01-0.19-0.760.170.190.330.72-0.27-0.130.24-0.13-0.26
0.910.940.93-0.190.630.95-0.130.930.810.940.70.890.250.90.360.060.940.850.96-0.110.490.150.240.15-0.74
0.140.190.170.150.150.19-0.190.110.140.170.210.18-0.030.180.86-0.140.250.210.170.15-0.261.0-0.130.150.15
-0.46-0.6-0.66-0.22-0.29-0.56-0.18-0.67-0.52-0.6-0.58-0.610.06-0.610.07-0.29-0.54-0.53-0.580.36-0.740.15-0.26-0.740.15
Click cells to compare fundamentals

Automotive Properties Account Relationship Matchups

Automotive Properties fundamental ratios Accounts

201920202021202220232024 (projected)
Common Stock Shares Outstanding36.0M48.1M49.4M49.8M50.0M28.8M
Total Assets935.7M936.4M1.1B1.1B1.2B745.9M
Short Long Term Debt Total405.3M403.0M420.6M434.9M535.1M338.4M
Other Current Liab3.6M(20.6M)(28.2M)3.7M3.5M3.7M
Total Current Liabilities6.9M8.4M6.4M7.4M8.0M6.3M
Total Stockholder Equity394.6M391.2M460.4M520.9M540.0M294.6M
Property Plant And Equipment Net269K180K90K191K119K113.1K
Net Debt360.0M402.7M420.1M434.5M534.8M333.5M
Accounts Payable3.3M4.9M2.8M3.8M4.1M3.0M
Non Current Assets Total888.4M932.4M1.0B1.1B1.2B735.3M
Liabilities And Stockholders Equity935.7M936.4M1.1B1.1B1.2B745.9M
Non Current Liabilities Total534.2M536.7M584.8M565.5M635.3M444.0M
Other Current Assets2.1M1.6M25.9M450K(298K)(283.1K)
Total Liab541.1M545.1M591.3M572.9M653.9M451.4M
Total Current Assets47.3M3.9M26.4M3.2M3.1M2.9M
Short Term Debt18.8M24.1M31.8M21.8M360K342K
Net Tangible Assets394.6M391.2M460.4M520.9M599.1M328.6M
Current Deferred Revenue(18.8M)(24.1M)(31.8M)(21.8M)(26.2M)(27.5M)
Retained Earnings13.8M10.5M64.7M116.2M135.3M108.9M
Cash45.3M308K474K396K298K283.1K
Non Currrent Assets Other(47.6M)(4.1M)(26.4M)1.1B1.2B1.2B
Long Term Debt397.9M396.0M414.0M431.1M531.5M404.1M
Cash And Short Term Investments45.3M308K474K396K298K283.1K
Property Plant Equipment888.4M932.4M1.0B1.1B1.2B835.5M
Non Current Liabilities Other120.7M106.4M148.5M121.0M100.6M123.8M
Net Invested Capital397.9M396.0M414.0M952.0M1.1B614.8M
Net Working Capital40.4M(4.4M)19.9M(4.2M)(4.9M)(4.6M)

Pair Trading with Automotive 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 Automotive 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 Automotive Properties will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Automotive 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 Automotive 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 Automotive 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 Automotive Properties Real to buy it.
The correlation of Automotive 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 Automotive Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automotive 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 Automotive 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

Other Information on Investing in Automotive Stock

Balance Sheet is a snapshot of the financial position of Automotive Properties at a specified time, usually calculated after every quarter, six months, or one year. Automotive Properties Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Automotive Properties and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Automotive currently owns. An asset can also be divided into two categories, current and non-current.