SAP Inventory from 2010 to 2026
| SAP Stock | CAD 40.35 0.26 0.64% |
Inventory | First Reported 1997-06-30 | Previous Quarter 2.8 B | Current Value 2.9 B | Quarterly Volatility 903.7 M |
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 602.5 M, Interest Expense of 235.5 M or Total Revenue of 23 B, as well as many indicators such as Price To Sales Ratio of 1.18, Dividend Yield of 0.0288 or PTB Ratio of 3.44. SAP financial statements analysis is a perfect complement when working with S A P Valuation or Volatility modules.
SAP | Inventory |
Latest S A P's Inventory Growth Pattern
Below is the plot of the Inventory of Saputo Inc over the last few years. It is S A P's Inventory 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.
| Inventory | 10 Years Trend |
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Inventory |
| Timeline |
SAP Inventory Regression Statistics
| Arithmetic Mean | 1,835,358,912 | |
| Geometric Mean | 1,356,540,735 | |
| Coefficient Of Variation | 57.60 | |
| Mean Deviation | 928,780,142 | |
| Median | 1,681,000,000 | |
| Standard Deviation | 1,057,210,656 | |
| Sample Variance | 1117694.4T | |
| Range | 3.5B | |
| R-Value | 0.98 | |
| Mean Square Error | 36418.5T | |
| R-Squared | 0.97 | |
| Slope | 206,136,449 | |
| Total Sum of Squares | 17883109.9T |
SAP Inventory History
About S A P Financial Statements
S A P investors utilize fundamental indicators, such as Inventory, to predict how SAP Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Inventory | 3.4 B | 3.5 B | |
| Change To Inventory | 27.6 M | 29 M | |
| Inventory Turnover | 6.87 | 8.28 | |
| Days Of Inventory On Hand | 54.96 | 40.60 | |
| Days Of Inventory Outstanding | 54.96 | 40.60 |
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 against SAP Stock
| 0.94 | ORAC | Oracle CDR Split | PairCorr |
| 0.93 | QBTC | Bitcoin Fund Unit | PairCorr |
| 0.9 | UBER | Uber CDR Split | PairCorr |
| 0.78 | HD | Home Depot CDR | 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 Saputo Inc 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 Saputo Inc 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.Other Information on Investing in SAP Stock
S A P financial ratios help investors to determine whether SAP Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SAP with respect to the benefits of owning S A P security.