Visa Days Of Inventory On Hand vs Payout Ratio Analysis
V Stock | USD 270.66 0.53 0.20% |
Visa financial indicator trend analysis is much more than just breaking down Visa Class A prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Visa Class A is a good investment. Please check the relationship between Visa Days Of Inventory On Hand and its Payout Ratio accounts. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Visa Class A. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in real.
Days Of Inventory On Hand vs Payout Ratio
Days Of Inventory On Hand vs Payout Ratio Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Visa Class A Days Of Inventory On Hand account and Payout Ratio. At this time, the significance of the direction appears to have almost no relationship.
The correlation between Visa's Days Of Inventory On Hand and Payout Ratio is 0.13. Overlapping area represents the amount of variation of Days Of Inventory On Hand that can explain the historical movement of Payout Ratio in the same time period over historical financial statements of Visa Class A, assuming nothing else is changed. The correlation between historical values of Visa's Days Of Inventory On Hand and Payout Ratio is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Days Of Inventory On Hand of Visa Class A are associated (or correlated) with its Payout Ratio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Payout Ratio has no effect on the direction of Days Of Inventory On Hand i.e., Visa's Days Of Inventory On Hand and Payout Ratio go up and down completely randomly.
Correlation Coefficient | 0.13 |
Relationship Direction | Positive |
Relationship Strength | Insignificant |
Days Of Inventory On Hand
Payout Ratio
Payout Ratio is the proportion of Visa Class A earnings paid out as dividends to shareholders. Payout Ratio is typically expressed as a percentage but can be shown as dividends paid out as a proportion of cash flow. The payout ratio is used to determine the sustainability of Visa Class A dividend payments. A lower payout ratio is generally preferable to a higher payout ratio, with a ratio greater than 100% indicating Visa Class A is paying out more in dividends than it makes in net income.Most indicators from Visa's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Visa Class A 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 Visa Class A. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in real. Sales General And Administrative To Revenue is likely to climb to 0.1 in 2024, whereas Selling General Administrative is likely to drop slightly above 1.2 B in 2024.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 23.6B | 26.1B | 30.0B | 31.5B | Total Revenue | 29.3B | 32.7B | 37.6B | 39.4B |
Visa fundamental ratios Correlations
Click cells to compare fundamentals
Visa Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Visa fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 80.9B | 82.9B | 85.5B | 90.5B | 104.1B | 52.9B | |
Short Long Term Debt Total | 24.1B | 21.0B | 22.5B | 20.5B | 23.5B | 12.3B | |
Other Current Liab | 6.0B | 7.5B | 18.3B | 22.7B | 26.1B | 27.4B | |
Total Current Liabilities | 14.5B | 15.7B | 20.9B | 23.1B | 26.6B | 27.9B | |
Total Stockholder Equity | 36.2B | 37.6B | 35.6B | 38.7B | 44.5B | 28.3B | |
Net Debt | 7.8B | 4.5B | 6.8B | 4.2B | 4.8B | 5.0B | |
Cash | 16.3B | 16.5B | 15.7B | 16.3B | 18.7B | 19.7B | |
Non Current Assets Total | 53.3B | 55.3B | 55.3B | 57.0B | 65.5B | 36.9B | |
Non Currrent Assets Other | 6.5B | 7.2B | 7.0B | 7.4B | 8.5B | 8.9B | |
Cash And Short Term Investments | 20.0B | 18.5B | 18.5B | 20.1B | 23.1B | 24.3B | |
Common Stock Shares Outstanding | 2.2B | 2.2B | 2.1B | 2.1B | 1.9B | 2.2B | |
Liabilities And Stockholders Equity | 80.9B | 82.9B | 85.5B | 90.5B | 104.1B | 52.9B | |
Non Current Liabilities Total | 30.2B | 29.6B | 29.1B | 28.7B | 33.0B | 34.6B | |
Other Current Assets | 1.2B | 1.4B | 1.3B | 4.2B | 4.8B | 5.0B | |
Other Stockholder Equity | 16.7B | (3.2B) | (2.4B) | (1.8B) | (1.7B) | (1.6B) | |
Total Liab | 44.7B | 45.3B | 49.9B | 51.8B | 59.5B | 62.5B | |
Total Current Assets | 27.6B | 27.6B | 30.2B | 33.5B | 38.6B | 40.5B | |
Short Term Debt | 3.0B | 999M | 2.3B | 106M | 121.9M | 115.8M | |
Other Liab | 8.7B | 9.6B | 8.9B | 7.5B | 8.6B | 6.7B | |
Retained Earnings | 14.1B | 15.4B | 16.1B | 18.0B | 20.7B | 21.8B | |
Accounts Payable | 174M | 266M | 340M | 375M | 431.3M | 452.8M | |
Other Assets | 6.6B | 7.2B | 7.1B | 7.0B | 8.1B | 8.5B | |
Long Term Debt | 21.1B | 20.0B | 20.2B | 20.5B | 23.5B | 24.7B | |
Net Receivables | 2.9B | 3.7B | 4.0B | 4.5B | 5.1B | 5.4B | |
Short Term Investments | 3.8B | 2.0B | 2.8B | 3.8B | 4.4B | 2.3B | |
Inventory | 3.5B | 4.0B | 6.5B | 4.8B | 5.5B | 3.7B | |
Accumulated Other Comprehensive Income | 354M | 436M | (2.4B) | (1.3B) | (1.2B) | (1.1B) | |
Property Plant Equipment | 2.7B | 2.7B | 3.2B | 2.1B | 2.4B | 2.0B | |
Property Plant And Equipment Net | 2.7B | 2.7B | 3.2B | 3.4B | 3.9B | 2.2B | |
Good Will | 15.9B | 16.0B | 17.8B | 18.0B | 20.7B | 15.1B | |
Property Plant And Equipment Gross | 2.7B | 7.7B | 8.9B | 8.8B | 10.1B | 10.6B | |
Preferred Stock Total Equity | 5.5B | 5.1B | 3.1B | 2.3B | 2.1B | 2.0B | |
Intangible Assets | 27.8B | 27.7B | 25.1B | 26.1B | 30.0B | 21.1B | |
Common Stock | 194K | 21.9B | 21.9B | 22.2B | 25.5B | 26.7B | |
Net Tangible Assets | (12.6B) | (9.1B) | (9.6B) | (8.9B) | (8.0B) | (7.6B) | |
Retained Earnings Total Equity | 13.5B | 14.1B | 15.4B | 16.1B | 18.5B | 11.0B | |
Long Term Debt Total | 16.7B | 21.1B | 20.0B | 20.2B | 23.2B | 15.5B | |
Capital Surpluse | 16.5B | 16.7B | 18.9B | 19.5B | 17.6B | 14.8B |
Pair Trading with Visa
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 Visa 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 Visa will appreciate offsetting losses from the drop in the long position's value.Moving against Visa Stock
0.4 | DB | Deutsche Bank AG | PairCorr |
0.31 | DIST | Distoken Acquisition | PairCorr |
0.31 | GS | Goldman Sachs Group Financial Report 17th of July 2024 | PairCorr |
The ability to find closely correlated positions to Visa could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Visa 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 Visa - 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 Visa Class A to buy it.
The correlation of Visa 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 Visa moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Visa Class A 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 Visa 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 Visa Stock Analysis
When running Visa's price analysis, check to measure Visa'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 Visa is operating at the current time. Most of Visa's value examination focuses on studying past and present price action to predict the probability of Visa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Visa's price. Additionally, you may evaluate how the addition of Visa to your portfolios can decrease your overall portfolio volatility.