Industrial Tax Provision vs Income Before Tax Analysis

ILPT Stock  USD 3.80  0.05  1.30%   
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 Tax Provision and its Income Before Tax 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.

Tax Provision vs Income Before Tax

Tax Provision vs Income Before Tax Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Industrial Logistics Tax Provision account and Income Before Tax. At this time, the significance of the direction appears to have no relationship.
The correlation between Industrial Logistics' Tax Provision and Income Before Tax is 0.05. Overlapping area represents the amount of variation of Tax Provision that can explain the historical movement of Income Before Tax 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' Tax Provision and Income Before Tax is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Tax Provision of Industrial Logistics Properties are associated (or correlated) with its Income Before Tax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Income Before Tax has no effect on the direction of Tax Provision i.e., Industrial Logistics' Tax Provision and Income Before Tax go up and down completely randomly.

Correlation Coefficient

0.05
Relationship DirectionPositive 
Relationship StrengthInsignificant

Tax Provision

The amount set aside by a company to cover any estimated taxes for the current period. It reflects the company's expected tax liabilities.

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.
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 Income832K2.7M7.9M8.3M
Tax Provision273K45K104K126.4K

Industrial Logistics fundamental ratios Correlations

0.89-0.26-0.11-0.62-0.71-0.770.96-0.870.890.890.761.01.0-0.160.890.760.930.20.89-0.60.890.80.820.060.82
0.89-0.37-0.02-0.75-0.76-0.820.82-0.931.00.990.920.890.89-0.160.990.920.890.60.99-0.721.00.910.950.240.97
-0.26-0.37-0.360.450.520.43-0.060.07-0.36-0.27-0.58-0.25-0.26-0.53-0.36-0.58-0.52-0.18-0.320.65-0.37-0.07-0.17-0.34-0.37
-0.11-0.02-0.36-0.630.27-0.49-0.230.25-0.02-0.150.0-0.12-0.110.15-0.110.00.07-0.15-0.15-0.59-0.02-0.22-0.220.95-0.1
-0.62-0.750.45-0.630.430.97-0.470.56-0.75-0.65-0.7-0.61-0.62-0.03-0.67-0.7-0.75-0.33-0.660.95-0.75-0.53-0.58-0.79-0.68
-0.71-0.760.520.270.430.53-0.540.72-0.75-0.78-0.84-0.7-0.71-0.26-0.78-0.84-0.82-0.45-0.780.54-0.76-0.59-0.70.11-0.82
-0.77-0.820.43-0.490.970.53-0.630.66-0.82-0.74-0.74-0.76-0.77-0.03-0.75-0.74-0.85-0.27-0.750.93-0.82-0.6-0.65-0.65-0.74
0.960.82-0.06-0.23-0.47-0.54-0.63-0.860.820.840.610.960.96-0.350.840.610.780.170.84-0.420.820.830.79-0.050.72
-0.87-0.930.070.250.560.720.66-0.86-0.93-0.97-0.78-0.87-0.870.35-0.94-0.78-0.77-0.56-0.950.47-0.93-0.94-0.95-0.04-0.91
0.891.0-0.36-0.02-0.75-0.75-0.820.82-0.930.990.920.890.89-0.170.990.920.880.60.99-0.711.00.910.950.240.97
0.890.99-0.27-0.15-0.65-0.78-0.740.84-0.970.990.890.890.89-0.220.990.890.850.610.99-0.610.990.930.970.120.97
0.760.92-0.580.0-0.7-0.84-0.740.61-0.780.920.890.750.750.050.921.00.870.640.91-0.730.920.790.880.230.97
1.00.89-0.25-0.12-0.61-0.7-0.760.96-0.870.890.890.751.0-0.160.890.750.920.20.89-0.60.890.810.820.050.81
1.00.89-0.26-0.11-0.62-0.71-0.770.96-0.870.890.890.751.0-0.150.890.750.930.20.89-0.610.890.80.820.060.81
-0.16-0.16-0.530.15-0.03-0.26-0.03-0.350.35-0.17-0.220.05-0.16-0.15-0.190.050.13-0.12-0.18-0.3-0.16-0.52-0.34-0.01-0.13
0.890.99-0.36-0.11-0.67-0.78-0.750.84-0.940.990.990.920.890.89-0.190.920.870.61.0-0.650.990.930.960.150.97
0.760.92-0.580.0-0.7-0.84-0.740.61-0.780.920.891.00.750.750.050.920.870.640.91-0.730.920.790.880.230.97
0.930.89-0.520.07-0.75-0.82-0.850.78-0.770.880.850.870.920.930.130.870.870.250.87-0.790.890.680.760.210.85
0.20.6-0.18-0.15-0.33-0.45-0.270.17-0.560.60.610.640.20.2-0.120.60.640.250.62-0.310.60.620.680.120.68
0.890.99-0.32-0.15-0.66-0.78-0.750.84-0.950.990.990.910.890.89-0.181.00.910.870.62-0.640.990.930.970.120.97
-0.6-0.720.65-0.590.950.540.93-0.420.47-0.71-0.61-0.73-0.6-0.61-0.3-0.65-0.73-0.79-0.31-0.64-0.72-0.41-0.5-0.7-0.65
0.891.0-0.37-0.02-0.75-0.76-0.820.82-0.931.00.990.920.890.89-0.160.990.920.890.60.99-0.720.910.950.240.97
0.80.91-0.07-0.22-0.53-0.59-0.60.83-0.940.910.930.790.810.8-0.520.930.790.680.620.93-0.410.910.980.080.9
0.820.95-0.17-0.22-0.58-0.7-0.650.79-0.950.950.970.880.820.82-0.340.960.880.760.680.97-0.50.950.980.070.97
0.060.24-0.340.95-0.790.11-0.65-0.05-0.040.240.120.230.050.06-0.010.150.230.210.120.12-0.70.240.080.070.17
0.820.97-0.37-0.1-0.68-0.82-0.740.72-0.910.970.970.970.810.81-0.130.970.970.850.680.97-0.650.970.90.970.17
Click cells to compare fundamentals

Industrial Logistics Account Relationship Matchups

Industrial Logistics fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets2.5B1.9B1.9B5.7B5.6B2.9B
Short Long Term Debt Total1.4B881.2M840.6M4.3B4.3B4.5B
Other Current Liab2.5M2.3M2.2M4.8M5.0M3.5M
Total Current Liabilities338.4M245.8M208.9M78.4M77.4M73.5M
Total Stockholder Equity995.7M1.0B1.0B790.7M670.0M776.5M
Other Liab36.1M31.3M26.1M27.3M24.6M26.1M
Net Tangible Assets985.3M919.5M974.6M493.3M444.0M755.2M
Property Plant And Equipment Net138.6M83.6M63.4M297.4M243.5M143.2M
Current Deferred Revenue9.4M7.8M8.4M(22.4M)(21.0M)(19.9M)
Net Debt1.4B858.4M811.2M4.2B4.2B4.4B
Accounts Payable16.5M14.7M16.3M73.5M72.5M76.1M
Cash28.4M22.8M29.4M48.3M112.3M118.0M
Non Current Assets Total2.4B1.8B1.8B5.4B5.2B2.7B
Non Currrent Assets Other2.1B1.7B1.6B5.0B4.8B2.5B
Other Assets141.1M1.9B1.7B(31.8M)(36.6M)(34.8M)
Long Term Debt1.4B645.6M646.1M4.2B4.3B4.5B
Cash And Short Term Investments28.4M22.8M29.4M48.3M112.3M118.0M
Net Receivables64.3M72.2M75.9M107.0M119.2M77.9M
Common Stock Shares Outstanding65.1M65.1M65.2M65.2M65.4M71.5M
Liabilities And Stockholders Equity2.5B1.9B1.9B5.7B5.6B2.9B
Non Current Liabilities Total1.1B666.7M661.7M4.3B4.3B4.5B
Other Stockholder Equity852.9M778.3M693.5M651.0M649.9M703.4M
Total Liab1.5B912.6M870.5M4.3B4.4B4.6B
Deferred Long Term Liab137.7M6.1M9.7M281.7M324.0M340.2M
Property Plant And Equipment Gross138.6M83.6M63.4M297.4M383.2M402.4M
Short Long Term Debt413M310M221M182M209.3M315.0M
Total Current Assets98.8M95.0M105.3M247.8M364.9M383.1M
Accumulated Other Comprehensive Income(4.3M)(8.3M)0.021.9M10.2M10.7M
Short Term Debt310M221M182M22.4M21.0M19.9M
Intangible Assets138.6M8.9M7.5M15.7M12.9M12.2M
Common Stock652K653K654K656K658K625.1K
Property Plant Equipment2.2B1.7B1.6B4.9B5.6B5.9B
Capital Lease Obligations17.5M14.6M12.4M22.5M18.5M14.7M
Non Current Liabilities Other6.7M22.4M20.8M22.5M25.9M14.1M
Retained Earnings142.2M224.2M343.9M117.2M9.2M8.7M
Common Stock Total Equity652K653K654K656K754.4K681.3K
Net Invested Capital2.4B1.9B1.9B5.0B5.0B3.0B
Net Working Capital(239.6M)(150.8M)(103.6M)169.4M287.5M301.8M
Retained Earnings Total Equity(4.3M)(8.3M)25.2M(246.0M)(221.4M)(210.4M)
Long Term Debt Total1.4B645.6M646.1M4.2B4.9B5.1B

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.
Pair CorrelationCorrelation Matching
When determining whether Industrial Logistics is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Industrial Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Industrial Logistics Properties Stock. Highlighted below are key reports to facilitate an investment decision about Industrial Logistics Properties Stock:
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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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.