Industrial Ebitda from 2010 to 2024
| ILPT Stock | USD 3.84 0.03 0.79% |
EBITDA | First Reported 2016-12-31 | Previous Quarter 80 M | Current Value 78.4 M | Quarterly Volatility 19.6 M |
Check Industrial Logistics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Industrial Logistics' main balance sheet or income statement drivers, such as Tax Provision of 126.4 K, Interest Income of 8.3 M or Depreciation And Amortization of 184 M, as well as many indicators such as Price To Sales Ratio of 0.67, Dividend Yield of 0.0081 or PTB Ratio of 0.44. Industrial financial statements analysis is a perfect complement when working with Industrial Logistics Valuation or Volatility modules.
Industrial | Ebitda |
Latest Industrial Logistics' Ebitda Growth Pattern
Below is the plot of the Ebitda of Industrial Logistics Properties over the last few years. It is Industrial Logistics' EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Industrial Logistics' overall financial position and show how it may be relating to other accounts over time.
| Ebitda | 10 Years Trend |
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Ebitda |
| Timeline |
Industrial Ebitda Regression Statistics
| Arithmetic Mean | 154,174,189 | |
| Geometric Mean | 144,844,390 | |
| Coefficient Of Variation | 41.43 | |
| Mean Deviation | 47,352,093 | |
| Median | 116,313,000 | |
| Standard Deviation | 63,881,618 | |
| Sample Variance | 4080.9T | |
| Range | 204.9M | |
| R-Value | 0.75 | |
| Mean Square Error | 1915.3T | |
| R-Squared | 0.56 | |
| Significance | 0 | |
| Slope | 10,729,299 | |
| Total Sum of Squares | 57132.1T |
Industrial Ebitda History
About Industrial Logistics Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Industrial Logistics income statement, its balance sheet, and the statement of cash flows. Industrial Logistics investors use historical funamental indicators, such as Industrial Logistics's Ebitda, to determine how well the company is positioned to perform in the future. Although Industrial Logistics investors may use each financial statement separately, they are all related. The changes in Industrial Logistics's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Industrial Logistics's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Industrial Logistics Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Industrial Logistics. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| EBITDA | 315.8 M | 189.6 M |
Pair Trading with Industrial Logistics
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 Industrial Logistics 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 Industrial Logistics will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Industrial Logistics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Industrial Logistics 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 Industrial Logistics - 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 Industrial Logistics Properties to buy it.
The correlation of Industrial Logistics 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 Industrial Logistics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Industrial Logistics 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 Industrial Logistics 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 Industrial Stock Analysis
When running Industrial Logistics' price analysis, check to measure Industrial Logistics' 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 Industrial Logistics is operating at the current time. Most of Industrial Logistics' value examination focuses on studying past and present price action to predict the probability of Industrial Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Industrial Logistics' price. Additionally, you may evaluate how the addition of Industrial Logistics to your portfolios can decrease your overall portfolio volatility.