SAP Ebit vs Tax Provision Analysis

SAP Stock  USD 228.81  0.16  0.07%   
S A P financial indicator trend analysis is much more than just breaking down SAP SE ADR prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether SAP SE ADR is a good investment. Please check the relationship between S A P Ebit and its Tax Provision accounts. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SAP SE ADR. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.

Ebit vs Tax Provision

Ebit vs Tax Provision Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of SAP SE ADR Ebit account and Tax Provision. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between S A P's Ebit and Tax Provision is 0.41. Overlapping area represents the amount of variation of Ebit that can explain the historical movement of Tax Provision in the same time period over historical financial statements of SAP SE ADR, assuming nothing else is changed. The correlation between historical values of S A P's Ebit and Tax Provision is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Ebit of SAP SE ADR are associated (or correlated) with its Tax Provision. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Tax Provision has no effect on the direction of Ebit i.e., S A P's Ebit and Tax Provision go up and down completely randomly.

Correlation Coefficient

0.41
Relationship DirectionPositive 
Relationship StrengthWeak

Ebit

Tax Provision

The amount set aside by a company to cover any estimated taxes for the current period. It reflects the company's expected tax liabilities.
Most indicators from S A P's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into SAP SE ADR 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 World Market Map to better understand how to build diversified portfolios, which includes a position in SAP SE ADR. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
At this time, S A P's Enterprise Value Over EBITDA is relatively stable compared to the past year. As of 09/21/2024, Enterprise Value Multiple is likely to grow to 22.66, while Sales General And Administrative To Revenue is likely to drop 0.04.
 2021 2022 2023 2024 (projected)
Gross Profit19.9B21.9B22.6B11.3B
Total Revenue27.8B30.9B31.2B16.3B

S A P fundamental ratios Correlations

0.720.990.810.390.980.871.00.880.890.770.41-0.110.70.9-0.060.71-0.840.970.810.970.570.940.980.980.81
0.720.60.90.860.590.550.730.360.480.850.53-0.530.190.87-0.140.72-0.570.840.90.630.510.590.760.670.76
0.990.60.730.250.990.880.980.920.910.710.37-0.030.760.84-0.020.64-0.830.920.730.970.550.940.950.970.77
0.810.90.730.650.740.680.810.570.630.90.5-0.480.370.86-0.020.83-0.670.881.00.770.490.710.840.830.85
0.390.860.250.650.250.080.440.010.030.640.37-0.41-0.10.66-0.110.45-0.360.570.650.230.310.280.450.350.39
0.980.590.990.740.250.870.970.930.910.70.38-0.030.790.85-0.010.63-0.880.930.740.970.570.960.940.970.74
0.870.550.880.680.080.870.830.820.970.580.32-0.10.670.73-0.130.66-0.660.820.680.950.460.820.850.860.78
1.00.730.980.810.440.970.830.860.850.780.42-0.120.670.91-0.060.7-0.840.980.810.940.580.930.980.980.81
0.880.360.920.570.010.930.820.860.880.470.120.190.820.68-0.120.57-0.790.780.570.880.330.820.820.910.61
0.890.480.910.630.030.910.970.850.880.530.260.00.830.71-0.110.58-0.730.810.630.960.440.840.850.870.71
0.770.850.710.90.640.70.580.780.470.530.67-0.530.270.840.110.65-0.630.830.90.710.670.760.770.740.84
0.410.530.370.50.370.380.320.420.120.260.67-0.80.060.450.080.27-0.350.450.50.360.950.530.450.330.65
-0.11-0.53-0.03-0.48-0.41-0.03-0.1-0.120.190.0-0.53-0.80.23-0.21-0.03-0.340.03-0.2-0.48-0.08-0.58-0.11-0.19-0.07-0.55
0.70.190.760.37-0.10.790.670.670.820.830.270.060.230.5-0.030.27-0.720.590.370.750.260.680.640.690.37
0.90.870.840.860.660.850.730.910.680.710.840.45-0.210.5-0.170.65-0.840.970.860.840.570.860.880.870.73
-0.06-0.14-0.02-0.02-0.11-0.01-0.13-0.06-0.12-0.110.110.08-0.03-0.03-0.170.0-0.02-0.1-0.02-0.050.060.05-0.02-0.03-0.01
0.710.720.640.830.450.630.660.70.570.580.650.27-0.340.270.650.0-0.560.730.830.680.280.520.760.770.83
-0.84-0.57-0.83-0.67-0.36-0.88-0.66-0.84-0.79-0.73-0.63-0.350.03-0.72-0.84-0.02-0.56-0.83-0.67-0.8-0.52-0.83-0.78-0.84-0.56
0.970.840.920.880.570.930.820.980.780.810.830.45-0.20.590.97-0.10.73-0.830.880.920.590.90.970.950.82
0.810.90.731.00.650.740.680.810.570.630.90.5-0.480.370.86-0.020.83-0.670.880.770.490.710.850.830.85
0.970.630.970.770.230.970.950.940.880.960.710.36-0.080.750.84-0.050.68-0.80.920.770.520.920.940.950.8
0.570.510.550.490.310.570.460.580.330.440.670.95-0.580.260.570.060.28-0.520.590.490.520.710.590.490.66
0.940.590.940.710.280.960.820.930.820.840.760.53-0.110.680.860.050.52-0.830.90.710.920.710.90.910.73
0.980.760.950.840.450.940.850.980.820.850.770.45-0.190.640.88-0.020.76-0.780.970.850.940.590.90.970.86
0.980.670.970.830.350.970.860.980.910.870.740.33-0.070.690.87-0.030.77-0.840.950.830.950.490.910.970.8
0.810.760.770.850.390.740.780.810.610.710.840.65-0.550.370.73-0.010.83-0.560.820.850.80.660.730.860.8
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S A P Account Relationship Matchups

S A P fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets60.2B58.5B71.2B72.2B70.3B73.9B
Short Long Term Debt Total16.2B16.0B15.2B14.4B8.8B5.5B
Total Stockholder Equity30.8B29.7B38.9B40.1B43.2B45.3B
Property Plant And Equipment Net5.5B5.0B5.0B4.9B4.3B2.3B
Net Debt10.9B10.6B6.2B5.4B666M632.7M
Retained Earnings28.8B32.0B37.0B36.4B42.5B44.6B
Cash5.3B5.3B8.9B9.0B8.1B8.5B
Non Current Assets Total45.0B43.4B51.1B53.6B51.0B53.6B
Non Currrent Assets Other2.3B2.3B3.0B4.0B5.4B5.7B
Cash And Short Term Investments5.6B6.9B11.7B9.9B11.3B11.8B
Net Receivables8.4B6.8B7.0B6.6B7.1B4.3B
Short Term Investments297M1.6B2.8B856M3.2B3.3B
Liabilities And Stockholders Equity60.2B58.5B71.2B72.2B70.3B73.9B
Non Current Liabilities Total14.9B15.7B13.5B11.9B12.3B12.9B
Other Current Assets1.2B1.3B826M2.2B974M598.5M
Other Stockholder Equity(1.0B)(3.5B)(1.2B)(1.3B)(2.9B)(2.8B)
Total Liab29.4B28.6B29.6B29.3B26.9B28.3B
Property Plant And Equipment Gross5.5B5.0B5.0B4.9B4.3B2.3B
Total Current Assets15.2B15.1B20.0B18.6B19.3B20.3B
Other Current Liab5.3B5.2B6.0B5.2B6.4B6.8B
Total Current Liabilities14.5B12.9B16.1B17.5B14.6B15.4B
Current Deferred Revenue4.3B4.2B4.4B5.4B5.0B5.2B
Accounts Payable1.6B1.2B1.6B2.1B1.8B920.6M
Accumulated Other Comprehensive Income1.8B(1.0B)1.8B3.8B2.4B2.5B
Short Term Debt3.3B2.3B4.2B4.8B1.4B1.3B
Intangible Assets4.5B3.8B4.0B3.8B2.5B2.2B
Other Liab2.0B2.1B2.5B3.1B3.6B3.8B
Long Term Debt11.1B13.6B11.0B9.5B6.0B5.3B
Good Will29.2B27.6B31.1B33.1B29.1B14.7B
Property Plant Equipment5.5B4.9B5.0B4.9B5.7B6.0B
Deferred Long Term Liab1.4B1.7B2.3B3.0B3.5B3.6B
Long Term Investments2.3B3.5B6.3B5.6B5.1B2.8B
Short Long Term Debt2.5B1.5B3.8B4.0B1.1B1.1B
Net Tangible Assets(2.9B)(1.6B)3.9B3.2B3.7B3.9B

Pair Trading with S A 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 S A 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 S A P will appreciate offsetting losses from the drop in the long position's value.

Moving together with SAP Stock

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Moving against SAP Stock

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The ability to find closely correlated positions to S A 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 S A 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 S A 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 SAP SE ADR to buy it.
The correlation of S A 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 S A P moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SAP SE ADR 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 S A 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 SAP Stock Analysis

When running S A P's price analysis, check to measure S A 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 S A P is operating at the current time. Most of S A P's value examination focuses on studying past and present price action to predict the probability of S A 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 S A P's price. Additionally, you may evaluate how the addition of S A P to your portfolios can decrease your overall portfolio volatility.