Cencora Cash And Short Term Investments from 2010 to 2025
| COR Stock | USD 271.39 2.91 1.08% |
Cash And Short Term Investments | First Reported 1994-12-31 | Previous Quarter 3.1 B | Current Value 3.2 B | Quarterly Volatility 1.3 B |
Check Cencora financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Cencora's main balance sheet or income statement drivers, such as Depreciation And Amortization of 1.3 B, Selling General Administrative of 6.8 B or Total Revenue of 355 B, as well as many indicators such as Price To Sales Ratio of 0.14, Dividend Yield of 0.0083 or PTB Ratio of 65.36. Cencora financial statements analysis is a perfect complement when working with Cencora Valuation or Volatility modules.
Cencora | Cash And Short Term Investments |
Latest Cencora's Cash And Short Term Investments Growth Pattern
Below is the plot of the Cash And Short Term Investments of Cencora over the last few years. Short Term Investments is an account in the current assets section of Cencora balance sheet. This account contains Cencora investments that will expire within one year. These investments include stocks and bonds that can be liquidated by Cencora fairly quickly. It is the sum of a company's cash on hand, including bank deposits and short-term, highly liquid investments that are easily convertible to known amounts of cash. Cencora's Cash And Short Term Investments historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Cencora's overall financial position and show how it may be relating to other accounts over time.
| Cash And Short Term Investments | 10 Years Trend |
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Cash And Short Term Investments |
| Timeline |
Cencora Cash And Short Term Investments Regression Statistics
| Arithmetic Mean | 2,563,226,229 | |
| Geometric Mean | 1,913,888,636 | |
| Coefficient Of Variation | 44.61 | |
| Mean Deviation | 841,520,979 | |
| Median | 2,592,051,000 | |
| Standard Deviation | 1,143,543,244 | |
| Sample Variance | 1307691.2T | |
| Range | 4.6B | |
| R-Value | 0.81 | |
| Mean Square Error | 484466.2T | |
| R-Squared | 0.65 | |
| Significance | 0.0001 | |
| Slope | 194,277,242 | |
| Total Sum of Squares | 19615367.3T |
Cencora Cash And Short Term Investments History
About Cencora Financial Statements
Cencora shareholders use historical fundamental indicators, such as Cash And Short Term Investments, to determine how well the company is positioned to perform in the future. Although Cencora investors may analyze each financial statement separately, they are all interrelated. The changes in Cencora's assets and liabilities, for example, are also reflected in the revenues and expenses on on Cencora'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 | ||
| Cash And Short Term Investments | 3.6 B | 3.8 B |
Pair Trading with Cencora
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 Cencora 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 Cencora will appreciate offsetting losses from the drop in the long position's value.Moving together with Cencora Stock
Moving against Cencora Stock
| 0.71 | HAE | Haemonetics | PairCorr |
| 0.69 | INFU | InfuSystems Holdings | PairCorr |
| 0.68 | XAIR | Beyond Air | PairCorr |
| 0.67 | HOLX | Hologic | PairCorr |
| 0.56 | LIVN | LivaNova PLC | PairCorr |
The ability to find closely correlated positions to Cencora could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cencora 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 Cencora - 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 Cencora to buy it.
The correlation of Cencora 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 Cencora moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cencora 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 Cencora 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 Cencora Stock Analysis
When running Cencora's price analysis, check to measure Cencora'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 Cencora is operating at the current time. Most of Cencora's value examination focuses on studying past and present price action to predict the probability of Cencora's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cencora's price. Additionally, you may evaluate how the addition of Cencora to your portfolios can decrease your overall portfolio volatility.