Industrial Income Before Tax vs Net Income From Continuing Ops Analysis
ILPT Stock | USD 3.72 0.08 2.11% |
Industrial Logistics financial indicator trend analysis is infinitely more than just investigating Industrial Logistics recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Industrial Logistics is a good investment. Please check the relationship between Industrial Logistics Income Before Tax and its Net Income From Continuing Ops accounts. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Industrial Logistics Properties. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in american community survey.
Income Before Tax vs Net Income From Continuing Ops
Income Before Tax vs Net Income From Continuing Ops Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Industrial Logistics Income Before Tax account and Net Income From Continuing Ops. At this time, the significance of the direction appears to have totally related.
The correlation between Industrial Logistics' Income Before Tax and Net Income From Continuing Ops is 1.0. Overlapping area represents the amount of variation of Income Before Tax that can explain the historical movement of Net Income From Continuing Ops in the same time period over historical financial statements of Industrial Logistics Properties, assuming nothing else is changed. The correlation between historical values of Industrial Logistics' Income Before Tax and Net Income From Continuing Ops is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Income Before Tax of Industrial Logistics Properties are associated (or correlated) with its Net Income From Continuing Ops. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Income From Continuing Ops has no effect on the direction of Income Before Tax i.e., Industrial Logistics' Income Before Tax and Net Income From Continuing Ops go up and down completely randomly.
Correlation Coefficient | 1.0 |
Relationship Direction | Positive |
Relationship Strength | Very Strong |
Income Before Tax
Income Before Tax which can also be referred as pre-tax income is reported on Industrial Logistics income statement and is an important metric when analyzing Industrial Logistics profitability. Accounting techniques because taxes can be complex, and not perfectly consistent from one company to company, an analyst may use pre-tax income as a more stable measure of profitability.Net Income From Continuing Ops
Most indicators from Industrial Logistics' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Industrial Logistics current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Industrial Logistics Properties. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in american community survey. At this time, Industrial Logistics' Tax Provision is comparatively stable compared to the past year. Enterprise Value Over EBITDA is likely to gain to 17.22 in 2024, whereas Selling General Administrative is likely to drop slightly above 20 M in 2024.
2021 | 2022 | 2023 | 2024 (projected) | Interest Income | 832K | 2.7M | 7.9M | 8.3M | Tax Provision | 273K | 45K | 104K | 126.4K |
Industrial Logistics fundamental ratios Correlations
Click cells to compare fundamentals
Industrial Logistics Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Industrial Logistics fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 2.5B | 1.9B | 1.9B | 5.7B | 5.6B | 2.9B | |
Short Long Term Debt Total | 1.4B | 881.2M | 840.6M | 4.3B | 4.3B | 4.5B | |
Other Current Liab | 2.5M | 2.3M | 2.2M | 4.8M | 5.0M | 3.5M | |
Total Current Liabilities | 338.4M | 245.8M | 208.9M | 78.4M | 77.4M | 73.5M | |
Total Stockholder Equity | 995.7M | 1.0B | 1.0B | 790.7M | 670.0M | 776.5M | |
Other Liab | 36.1M | 31.3M | 26.1M | 27.3M | 24.6M | 26.1M | |
Net Tangible Assets | 985.3M | 919.5M | 974.6M | 493.3M | 444.0M | 755.2M | |
Property Plant And Equipment Net | 138.6M | 83.6M | 63.4M | 297.4M | 243.5M | 143.2M | |
Current Deferred Revenue | 9.4M | 7.8M | 8.4M | (22.4M) | (21.0M) | (19.9M) | |
Net Debt | 1.4B | 858.4M | 811.2M | 4.2B | 4.2B | 4.4B | |
Accounts Payable | 16.5M | 14.7M | 16.3M | 73.5M | 72.5M | 76.1M | |
Cash | 28.4M | 22.8M | 29.4M | 48.3M | 112.3M | 118.0M | |
Non Current Assets Total | 2.4B | 1.8B | 1.8B | 5.4B | 5.2B | 2.7B | |
Non Currrent Assets Other | 2.1B | 1.7B | 1.6B | 5.0B | 4.8B | 2.5B | |
Other Assets | 141.1M | 1.9B | 1.7B | (31.8M) | (36.6M) | (34.8M) | |
Long Term Debt | 1.4B | 645.6M | 646.1M | 4.2B | 4.3B | 4.5B | |
Cash And Short Term Investments | 28.4M | 22.8M | 29.4M | 48.3M | 112.3M | 118.0M | |
Net Receivables | 64.3M | 72.2M | 75.9M | 107.0M | 119.2M | 77.9M | |
Common Stock Shares Outstanding | 65.1M | 65.1M | 65.2M | 65.2M | 65.4M | 71.5M | |
Liabilities And Stockholders Equity | 2.5B | 1.9B | 1.9B | 5.7B | 5.6B | 2.9B | |
Non Current Liabilities Total | 1.1B | 666.7M | 661.7M | 4.3B | 4.3B | 4.5B | |
Other Stockholder Equity | 852.9M | 778.3M | 693.5M | 651.0M | 649.9M | 703.4M | |
Total Liab | 1.5B | 912.6M | 870.5M | 4.3B | 4.4B | 4.6B | |
Deferred Long Term Liab | 137.7M | 6.1M | 9.7M | 281.7M | 324.0M | 340.2M | |
Property Plant And Equipment Gross | 138.6M | 83.6M | 63.4M | 297.4M | 383.2M | 402.4M | |
Short Long Term Debt | 413M | 310M | 221M | 182M | 209.3M | 315.0M | |
Total Current Assets | 98.8M | 95.0M | 105.3M | 247.8M | 364.9M | 383.1M | |
Accumulated Other Comprehensive Income | (4.3M) | (8.3M) | 0.0 | 21.9M | 10.2M | 10.7M | |
Short Term Debt | 310M | 221M | 182M | 22.4M | 21.0M | 19.9M | |
Intangible Assets | 138.6M | 8.9M | 7.5M | 15.7M | 12.9M | 12.2M | |
Common Stock | 652K | 653K | 654K | 656K | 658K | 625.1K | |
Property Plant Equipment | 2.2B | 1.7B | 1.6B | 4.9B | 5.6B | 5.9B | |
Capital Lease Obligations | 17.5M | 14.6M | 12.4M | 22.5M | 18.5M | 14.7M | |
Non Current Liabilities Other | 6.7M | 22.4M | 20.8M | 22.5M | 25.9M | 14.1M | |
Retained Earnings | 142.2M | 224.2M | 343.9M | 117.2M | 9.2M | 8.7M | |
Common Stock Total Equity | 652K | 653K | 654K | 656K | 754.4K | 681.3K | |
Net Invested Capital | 2.4B | 1.9B | 1.9B | 5.0B | 5.0B | 3.0B | |
Net Working Capital | (239.6M) | (150.8M) | (103.6M) | 169.4M | 287.5M | 301.8M | |
Retained Earnings Total Equity | (4.3M) | (8.3M) | 25.2M | (246.0M) | (221.4M) | (210.4M) | |
Long Term Debt Total | 1.4B | 645.6M | 646.1M | 4.2B | 4.9B | 5.1B |
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.Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Industrial Logistics Properties. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in american community survey. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
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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.
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Is Industrial Logistics' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Industrial Logistics. If investors know Industrial will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Industrial Logistics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.565 | Dividend Share 0.04 | Earnings Share (1.63) | Revenue Per Share 6.708 | Quarterly Revenue Growth 0.018 |
The market value of Industrial Logistics is measured differently than its book value, which is the value of Industrial that is recorded on the company's balance sheet. Investors also form their own opinion of Industrial Logistics' value that differs from its market value or its book value, called intrinsic value, which is Industrial Logistics' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Industrial Logistics' market value can be influenced by many factors that don't directly affect Industrial Logistics' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Industrial Logistics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Industrial Logistics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Industrial Logistics' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.