LXP Total Current Liabilities from 2010 to 2025
| LXP Stock | USD 8.38 0.03 0.36% |
Total Current Liabilities | First Reported 1996-06-30 | Previous Quarter 136.4 M | Current Value 141 M | Quarterly Volatility 329.6 M |
Check LXP Industrial financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among LXP Industrial's main balance sheet or income statement drivers, such as Depreciation And Amortization of 131.4 M, Interest Expense of 55.5 M or Selling General Administrative of 26.1 M, as well as many indicators such as Price To Sales Ratio of 4.01, Dividend Yield of 0.12 or PTB Ratio of 0.98. LXP financial statements analysis is a perfect complement when working with LXP Industrial Valuation or Volatility modules.
LXP | Total Current Liabilities |
Latest LXP Industrial's Total Current Liabilities Growth Pattern
Below is the plot of the Total Current Liabilities of LXP Industrial Trust over the last few years. Total Current Liabilities is an item on LXP Industrial balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of LXP Industrial Trust 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. LXP Industrial's Total Current Liabilities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in LXP Industrial'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 |
LXP Total Current Liabilities Regression Statistics
| Arithmetic Mean | 168,140,596 | |
| Geometric Mean | 147,708,141 | |
| Coefficient Of Variation | 47.83 | |
| Mean Deviation | 61,022,521 | |
| Median | 156,172,000 | |
| Standard Deviation | 80,425,038 | |
| Sample Variance | 6468.2T | |
| Range | 311.7M | |
| R-Value | 0.05 | |
| Mean Square Error | 6912T | |
| R-Squared | 0 | |
| Significance | 0.85 | |
| Slope | 866,495 | |
| Total Sum of Squares | 97022.8T |
LXP Total Current Liabilities History
About LXP Industrial Financial Statements
LXP Industrial shareholders use historical fundamental indicators, such as Total Current Liabilities, to determine how well the company is positioned to perform in the future. Although LXP Industrial investors may analyze each financial statement separately, they are all interrelated. The changes in LXP Industrial's assets and liabilities, for example, are also reflected in the revenues and expenses on on LXP Industrial'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 | 122.6 M | 244.8 M |
Pair Trading with LXP Industrial
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 LXP Industrial 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 LXP Industrial will appreciate offsetting losses from the drop in the long position's value.Moving together with LXP Stock
Moving against LXP Stock
The ability to find closely correlated positions to LXP Industrial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace LXP Industrial 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 LXP Industrial - 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 LXP Industrial Trust to buy it.
The correlation of LXP Industrial 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 LXP Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if LXP Industrial Trust 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 LXP Industrial 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 LXP Stock Analysis
When running LXP Industrial's price analysis, check to measure LXP Industrial'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 LXP Industrial is operating at the current time. Most of LXP Industrial's value examination focuses on studying past and present price action to predict the probability of LXP Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LXP Industrial's price. Additionally, you may evaluate how the addition of LXP Industrial to your portfolios can decrease your overall portfolio volatility.