SAP Net Receivables vs Property Plant Equipment Analysis
SAP Stock | USD 233.81 2.44 1.03% |
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 Net Receivables and its Property Plant Equipment 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.
Net Receivables vs Property Plant Equipment
Net Receivables vs Property Plant Equipment Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of SAP SE ADR Net Receivables account and Property Plant Equipment. At this time, the significance of the direction appears to have strong relationship.
The correlation between S A P's Net Receivables and Property Plant Equipment is 0.63. Overlapping area represents the amount of variation of Net Receivables that can explain the historical movement of Property Plant Equipment 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 Net Receivables and Property Plant Equipment is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Receivables of SAP SE ADR are associated (or correlated) with its Property Plant Equipment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Property Plant Equipment has no effect on the direction of Net Receivables i.e., S A P's Net Receivables and Property Plant Equipment go up and down completely randomly.
Correlation Coefficient | 0.63 |
Relationship Direction | Positive |
Relationship Strength | Significant |
Net Receivables
Property Plant Equipment
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. As of 11/26/2024, Selling General Administrative is likely to drop to about 1.1 B. In addition to that, Tax Provision is likely to drop to about 1.5 B
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 19.9B | 21.9B | 22.5B | 11.3B | Total Revenue | 27.8B | 30.9B | 31.2B | 16.3B |
S A P fundamental ratios Correlations
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S A P Account Relationship Matchups
High Positive Relationship
High Negative Relationship
S A P fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 60.2B | 58.5B | 71.2B | 72.2B | 68.3B | 71.8B | |
Short Long Term Debt Total | 16.2B | 16.0B | 15.2B | 14.4B | 8.8B | 5.5B | |
Total Stockholder Equity | 30.8B | 29.7B | 38.9B | 40.1B | 43.2B | 45.3B | |
Property Plant And Equipment Net | 5.5B | 5.0B | 5.0B | 4.9B | 4.1B | 2.3B | |
Net Debt | 10.9B | 10.6B | 6.2B | 5.4B | 666M | 632.7M | |
Retained Earnings | 28.8B | 32.0B | 37.0B | 36.4B | 42.5B | 44.6B | |
Cash | 5.3B | 5.3B | 8.9B | 9.0B | 8.1B | 8.5B | |
Non Current Assets Total | 45.0B | 43.4B | 51.1B | 53.6B | 51.0B | 53.6B | |
Non Currrent Assets Other | 2.3B | 2.3B | 3.0B | 4.0B | 7.0B | 7.3B | |
Cash And Short Term Investments | 5.6B | 6.9B | 11.7B | 9.9B | 11.3B | 11.8B | |
Net Receivables | 8.4B | 6.8B | 7.0B | 6.6B | 5.9B | 4.3B | |
Short Term Investments | 297M | 1.6B | 2.8B | 856M | 3.2B | 3.3B | |
Liabilities And Stockholders Equity | 60.2B | 58.5B | 71.2B | 72.2B | 68.3B | 71.8B | |
Non Current Liabilities Total | 14.9B | 15.7B | 13.5B | 11.9B | 12.3B | 12.9B | |
Other Current Assets | 1.2B | 2.0B | 826M | 3.0B | 3.4B | 3.6B | |
Other Stockholder Equity | (1.0B) | (4.6B) | (1.2B) | (1.3B) | (2.9B) | (2.8B) | |
Total Liab | 29.4B | 28.6B | 29.6B | 29.3B | 24.9B | 12.7B | |
Property Plant And Equipment Gross | 5.5B | 5.0B | 5.0B | 4.9B | 4.3B | 2.3B | |
Total Current Assets | 15.2B | 15.1B | 20.0B | 18.6B | 20.6B | 21.6B | |
Other Current Liab | 5.3B | 9.2B | 6.0B | 10.7B | 11.2B | 11.7B | |
Total Current Liabilities | 14.5B | 12.9B | 16.1B | 17.5B | 14.6B | 15.4B | |
Current Deferred Revenue | 4.3B | 4.2B | 4.4B | 5.4B | 5.0B | 5.2B | |
Accounts Payable | 1.6B | 1.4B | 1.6B | 2.1B | 1.8B | 928.5M | |
Accumulated Other Comprehensive Income | 1.8B | (1.0B) | 1.8B | 3.8B | 2.4B | 2.5B | |
Short Term Debt | 3.3B | 1.9B | 4.2B | 4.3B | 1.4B | 1.2B | |
Intangible Assets | 4.5B | 3.8B | 4.0B | 3.8B | 2.5B | 2.2B | |
Other Liab | 2.0B | 2.1B | 2.5B | 3.1B | 3.6B | 3.8B | |
Long Term Debt | 11.1B | 13.6B | 11.0B | 9.5B | 6.0B | 5.3B | |
Good Will | 29.2B | 27.6B | 31.1B | 33.1B | 29.1B | 14.7B | |
Property Plant Equipment | 5.5B | 4.9B | 5.0B | 4.9B | 5.7B | 6.0B | |
Deferred Long Term Liab | 1.4B | 1.7B | 2.3B | 3.0B | 3.5B | 3.6B | |
Long Term Investments | 2.3B | 3.5B | 6.3B | 5.6B | 5.1B | 2.8B | |
Short Long Term Debt | 2.5B | 1.5B | 3.8B | 4.0B | 1.1B | 1.1B | |
Net Tangible Assets | (2.9B) | (1.6B) | 3.9B | 3.2B | 3.7B | 3.9B |
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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0.47 | EGAN | eGain | PairCorr |
0.33 | VTEX | VTEX | PairCorr |
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.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.