CullenFrost Tax Provision from 2010 to 2024
| CFR Stock | USD 142.91 1.01 0.70% |
Tax Provision | First Reported 2019-03-31 | Previous Quarter 29.7 M | Current Value 28.7 M | Quarterly Volatility 9.9 M |
Check CullenFrost Bankers financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among CullenFrost Bankers' main balance sheet or income statement drivers, such as Interest Expense of 692 M, Other Operating Expenses of 1.8 B or Operating Income of 748 M, as well as many indicators such as Price To Sales Ratio of 3.6, Dividend Yield of 0.021 or PTB Ratio of 1.55. CullenFrost financial statements analysis is a perfect complement when working with CullenFrost Bankers Valuation or Volatility modules.
CullenFrost | Tax Provision |
Latest CullenFrost Bankers' Tax Provision Growth Pattern
Below is the plot of the Tax Provision of CullenFrost Bankers over the last few years. It is the amount set aside by a company to cover any estimated taxes for the current period. It reflects the company's expected tax liabilities. CullenFrost Bankers' Tax Provision historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in CullenFrost Bankers' overall financial position and show how it may be relating to other accounts over time.
| Tax Provision | 10 Years Trend |
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Tax Provision |
| Timeline |
CullenFrost Tax Provision Regression Statistics
| Arithmetic Mean | 51,847,216 | |
| Geometric Mean | 47,527,165 | |
| Coefficient Of Variation | 48.88 | |
| Mean Deviation | 17,020,421 | |
| Median | 40,471,000 | |
| Standard Deviation | 25,341,054 | |
| Sample Variance | 642.2T | |
| Range | 104.7M | |
| R-Value | 0.58 | |
| Mean Square Error | 459.8T | |
| R-Squared | 0.34 | |
| Significance | 0.02 | |
| Slope | 3,280,374 | |
| Total Sum of Squares | 8990.4T |
CullenFrost Tax Provision History
About CullenFrost Bankers Financial Statements
CullenFrost Bankers shareholders use historical fundamental indicators, such as Tax Provision, to determine how well the company is positioned to perform in the future. Although CullenFrost Bankers investors may analyze each financial statement separately, they are all interrelated. The changes in CullenFrost Bankers' assets and liabilities, for example, are also reflected in the revenues and expenses on on CullenFrost Bankers' 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 | ||
| Tax Provision | 124.9 M | 62.7 M |
Pair Trading with CullenFrost Bankers
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 CullenFrost Bankers 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 CullenFrost Bankers will appreciate offsetting losses from the drop in the long position's value.Moving together with CullenFrost Stock
| 0.87 | AX | Axos Financial | PairCorr |
| 0.85 | BY | Byline Bancorp Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.67 | KB | KB Financial Group | PairCorr |
Moving against CullenFrost Stock
| 0.65 | TFC-PO | Truist Financial | PairCorr |
| 0.6 | CFG-PE | Citizens Financial | PairCorr |
| 0.59 | TFC-PR | Truist Financial | PairCorr |
| 0.44 | WF | Woori Financial Group | PairCorr |
The ability to find closely correlated positions to CullenFrost Bankers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CullenFrost Bankers 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 CullenFrost Bankers - 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 CullenFrost Bankers to buy it.
The correlation of CullenFrost Bankers 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 CullenFrost Bankers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CullenFrost Bankers 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 CullenFrost Bankers 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 CullenFrost Stock Analysis
When running CullenFrost Bankers' price analysis, check to measure CullenFrost Bankers' 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 CullenFrost Bankers is operating at the current time. Most of CullenFrost Bankers' value examination focuses on studying past and present price action to predict the probability of CullenFrost Bankers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CullenFrost Bankers' price. Additionally, you may evaluate how the addition of CullenFrost Bankers to your portfolios can decrease your overall portfolio volatility.