XPLR Interest Expense from 2010 to 2026

XIFR Stock   10.42  0.02  0.19%   
XPLR Infrastructure Interest Expense yearly trend continues to be relatively stable with very little volatility. Interest Expense is likely to grow to about 318.8 M this year. Interest Expense is the cost incurred by an entity for borrowed funds, including loans, bonds, or lines of credit. View All Fundamentals
 
Interest Expense  
First Reported
2013-03-31
Previous Quarter
131 M
Current Value
95 M
Quarterly Volatility
143 M
 
Yuan Drop
 
Covid
Check XPLR Infrastructure financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among XPLR Infrastructure's main balance sheet or income statement drivers, such as Depreciation And Amortization of 763.1 M, Interest Expense of 318.8 M or Total Revenue of 782.9 M, as well as many indicators such as Price To Sales Ratio of 1.16, Dividend Yield of 0.31 or PTB Ratio of 0.14. XPLR financial statements analysis is a perfect complement when working with XPLR Infrastructure Valuation or Volatility modules.
  
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Check out the analysis of XPLR Infrastructure Correlation against competitors.

Latest XPLR Infrastructure's Interest Expense Growth Pattern

Below is the plot of the Interest Expense of XPLR Infrastructure LP over the last few years. It is the cost incurred by an entity for borrowed funds, including loans, bonds, or lines of credit. XPLR Infrastructure's Interest Expense historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in XPLR Infrastructure's overall financial position and show how it may be relating to other accounts over time.
Interest Expense10 Years Trend
Slightly volatile
   Interest Expense   
       Timeline  

XPLR Interest Expense Regression Statistics

Arithmetic Mean256,960,633
Geometric Mean167,472,759
Coefficient Of Variation96.16
Mean Deviation188,591,483
Median170,000,000
Standard Deviation247,085,545
Sample Variance61051.3T
Range810M
R-Value0.51
Mean Square Error48040.8T
R-Squared0.26
Significance0.04
Slope25,059,182
Total Sum of Squares976820.3T

XPLR Interest Expense History

2026318.8 M
2025195.5 M
2024170 M
2023394 M
2022853 M
2021121 M
2020620 M

About XPLR Infrastructure Financial Statements

XPLR Infrastructure shareholders use historical fundamental indicators, such as Interest Expense, to determine how well the company is positioned to perform in the future. Although XPLR Infrastructure investors may analyze each financial statement separately, they are all interrelated. The changes in XPLR Infrastructure's assets and liabilities, for example, are also reflected in the revenues and expenses on on XPLR Infrastructure's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Interest Expense195.5 M318.8 M

Pair Trading with XPLR Infrastructure

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 XPLR Infrastructure 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 XPLR Infrastructure will appreciate offsetting losses from the drop in the long position's value.

Moving together with XPLR Stock

  0.69CCE Carnegie Clean EnergyPairCorr
The ability to find closely correlated positions to XPLR Infrastructure could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace XPLR Infrastructure 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 XPLR Infrastructure - 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 XPLR Infrastructure LP to buy it.
The correlation of XPLR Infrastructure 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 XPLR Infrastructure moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if XPLR Infrastructure 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 XPLR Infrastructure 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.
Pair CorrelationCorrelation Matching

Additional Tools for XPLR Stock Analysis

When running XPLR Infrastructure's price analysis, check to measure XPLR Infrastructure'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 XPLR Infrastructure is operating at the current time. Most of XPLR Infrastructure's value examination focuses on studying past and present price action to predict the probability of XPLR Infrastructure's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move XPLR Infrastructure's price. Additionally, you may evaluate how the addition of XPLR Infrastructure to your portfolios can decrease your overall portfolio volatility.