SAP Graham Number from 2010 to 2026
| SAP Stock | USD 201.04 0.83 0.41% |
Graham Number | First Reported 2010-12-31 | Previous Quarter 73.66514176 | Current Value 77.35 | Quarterly Volatility 18.54392599 |
Check S A P financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among S A P's main balance sheet or income statement drivers, such as Depreciation And Amortization of 859.3 M, Interest Expense of 1.4 B or Total Revenue of 17.7 B, as well as many indicators such as Price To Sales Ratio of 3.87, Dividend Yield of 0.0104 or PTB Ratio of 7.32. SAP financial statements analysis is a perfect complement when working with S A P Valuation or Volatility modules.
SAP | Graham Number | Build AI portfolio with SAP Stock |
Evaluating S A P's Graham Number across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into SAP SE ADR's fundamental strength.
Latest S A P's Graham Number Growth Pattern
Below is the plot of the Graham Number of SAP SE ADR over the last few years. It is S A P's Graham Number historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in S A P's overall financial position and show how it may be relating to other accounts over time.
| Graham Number | 10 Years Trend |
|
Graham Number |
| Timeline |
SAP Graham Number Regression Statistics
| Arithmetic Mean | 42.56 | |
| Geometric Mean | 37.06 | |
| Coefficient Of Variation | 43.57 | |
| Mean Deviation | 13.87 | |
| Median | 40.05 | |
| Standard Deviation | 18.54 | |
| Sample Variance | 343.88 | |
| Range | 73.1084 | |
| R-Value | 0.91 | |
| Mean Square Error | 62.68 | |
| R-Squared | 0.83 | |
| Slope | 3.34 | |
| Total Sum of Squares | 5,502 |
SAP Graham Number History
About S A P Financial Statements
S A P shareholders use historical fundamental indicators, such as Graham Number, to determine how well the company is positioned to perform in the future. Although S A P investors may analyze each financial statement separately, they are all interrelated. The changes in S A P's assets and liabilities, for example, are also reflected in the revenues and expenses on on S A P's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Graham Number | 73.67 | 77.35 |
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
Moving against SAP Stock
| 0.58 | CTLP | Cantaloupe Earnings Call This Week | PairCorr |
| 0.57 | DAY | Dayforce | PairCorr |
| 0.5 | MGIC | Magic Software Enter | 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.