Xp Total Current Liabilities from 2010 to 2024
| XP Stock | USD 15.52 0.15 0.96% |
Total Current Liabilities | First Reported 2018-12-31 | Previous Quarter 137.8 B | Current Value 137.8 B | Quarterly Volatility 44.6 B |
Check Xp financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Xp's main balance sheet or income statement drivers, such as Interest Expense of 648.4 M, Selling General Administrative of 2.1 B or Total Revenue of 15 B, as well as many indicators such as Price To Sales Ratio of 4.59, Dividend Yield of 0.0486 or PTB Ratio of 3.36. Xp financial statements analysis is a perfect complement when working with Xp Valuation or Volatility modules.
Xp | Total Current Liabilities |
Latest Xp's Total Current Liabilities Growth Pattern
Below is the plot of the Total Current Liabilities of Xp Inc over the last few years. Total Current Liabilities is an item on Xp balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of Xp Inc are important to investors because some useful performance ratios such as Current Ratio and Quick Ratio require Total Current Liabilities to be accurate. It is the total amount of liabilities that a company is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations. Xp's Total Current Liabilities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Xp's overall financial position and show how it may be relating to other accounts over time.
| Total Current Liabilities | 10 Years Trend |
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Total Current Liabilities |
| Timeline |
Xp Total Current Liabilities Regression Statistics
| Arithmetic Mean | 36,220,079,838 | |
| Geometric Mean | 9,655,452,005 | |
| Coefficient Of Variation | 134.31 | |
| Mean Deviation | 40,903,869,948 | |
| Median | 3,896,577,000 | |
| Standard Deviation | 48,648,948,527 | |
| Sample Variance | 2366720192.8T | |
| Range | 131.9B | |
| R-Value | 0.87 | |
| Mean Square Error | 613328308.2T | |
| R-Squared | 0.76 | |
| Significance | 0.000023 | |
| Slope | 9,479,454,229 | |
| Total Sum of Squares | 33134082699.6T |
Xp Total Current Liabilities History
About Xp Financial Statements
Xp shareholders use historical fundamental indicators, such as Total Current Liabilities, to determine how well the company is positioned to perform in the future. Although Xp investors may analyze each financial statement separately, they are all interrelated. The changes in Xp's assets and liabilities, for example, are also reflected in the revenues and expenses on on Xp'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 | ||
| Total Current Liabilities | 126.3 B | 132.6 B |
Pair Trading with Xp
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 Xp 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 Xp will appreciate offsetting losses from the drop in the long position's value.Moving against Xp Stock
| 0.75 | SF | Stifel Financial Earnings Call This Week | PairCorr |
| 0.74 | FRHC | Freedom Holding Corp | PairCorr |
| 0.74 | BK | Bank of New York Fiscal Year End 10th of January 2025 | PairCorr |
| 0.72 | CM | Canadian Imperial Bank Fiscal Year End 5th of December 2024 | PairCorr |
| 0.7 | AXP | American Express Fiscal Year End 24th of January 2025 | PairCorr |
The ability to find closely correlated positions to Xp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Xp 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 Xp - 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 Xp Inc to buy it.
The correlation of Xp 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 Xp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xp 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 Xp 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 Xp Stock Analysis
When running Xp's price analysis, check to measure Xp'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 Xp is operating at the current time. Most of Xp's value examination focuses on studying past and present price action to predict the probability of Xp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xp's price. Additionally, you may evaluate how the addition of Xp to your portfolios can decrease your overall portfolio volatility.