American Change In Cash from 2010 to 2026
| AXP Stock | USD 345.88 8.13 2.30% |
Change In Cash | First Reported 1990-03-31 | Previous Quarter -3.2 B | Current Value -6.9 B | Quarterly Volatility 3.5 B |
Check American Express financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among American Express' main balance sheet or income statement drivers, such as Interest Expense of 3 B, Other Operating Expenses of 67.1 B or Operating Income of 17.4 B, as well as many indicators such as Price To Sales Ratio of 3.36, Dividend Yield of 0.0084 or PTB Ratio of 8.07. American financial statements analysis is a perfect complement when working with American Express Valuation or Volatility modules.
American | Change In Cash | Build AI portfolio with American Stock |
Evaluating American Express's Change In Cash 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 American Express's fundamental strength.
Latest American Express' Change In Cash Growth Pattern
Below is the plot of the Change In Cash of American Express over the last few years. It is American Express' Change In Cash historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in American Express' overall financial position and show how it may be relating to other accounts over time.
| Change In Cash | 10 Years Trend |
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Change In Cash |
| Timeline |
American Change In Cash Regression Statistics
| Arithmetic Mean | 2,088,211,765 | |
| Coefficient Of Variation | 333.30 | |
| Mean Deviation | 5,936,316,955 | |
| Median | 2,446,000,000 | |
| Standard Deviation | 6,960,016,791 | |
| Sample Variance | 48441833.7T | |
| Range | 23.6B | |
| R-Value | 0.24 | |
| Mean Square Error | 48658757.1T | |
| R-Squared | 0.06 | |
| Significance | 0.35 | |
| Slope | 332,798,529 | |
| Total Sum of Squares | 775069339.8T |
American Change In Cash History
About American Express Financial Statements
American Express shareholders use historical fundamental indicators, such as Change In Cash, to determine how well the company is positioned to perform in the future. Although American Express investors may analyze each financial statement separately, they are all interrelated. The changes in American Express' assets and liabilities, for example, are also reflected in the revenues and expenses on on American Express' 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 | ||
| Change In Cash | 7.2 B | 7.5 B |
Pair Trading with American Express
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 American Express 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 American Express will appreciate offsetting losses from the drop in the long position's value.Moving together with American Stock
Moving against American Stock
| 0.53 | PG | Procter Gamble | PairCorr |
| 0.5 | KO | Coca Cola Earnings Call This Week | PairCorr |
| 0.43 | T | ATT Inc Aggressive Push | PairCorr |
| 0.4 | CVX | Chevron Corp | PairCorr |
| 0.36 | VZ | Verizon Communications Aggressive Push | PairCorr |
The ability to find closely correlated positions to American Express could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace American Express 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 American Express - 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 American Express to buy it.
The correlation of American Express 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 American Express moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if American Express 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 American Express 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 American Stock Analysis
When running American Express' price analysis, check to measure American Express' 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 American Express is operating at the current time. Most of American Express' value examination focuses on studying past and present price action to predict the probability of American Express' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American Express' price. Additionally, you may evaluate how the addition of American Express to your portfolios can decrease your overall portfolio volatility.