Industrial Selling General Administrative vs Other Operating Expenses Analysis

ILPT Stock  USD 3.84  0.03  0.79%   
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 Selling General Administrative and its Other Operating Expenses 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.

Selling General Administrative vs Other Operating Expenses

Selling General Administrative vs Other Operating Expenses Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Industrial Logistics Selling General Administrative account and Other Operating Expenses. At this time, the significance of the direction appears to have very strong relationship.
The correlation between Industrial Logistics' Selling General Administrative and Other Operating Expenses is 0.88. Overlapping area represents the amount of variation of Selling General Administrative that can explain the historical movement of Other Operating Expenses 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' Selling General Administrative and Other Operating Expenses is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Selling General Administrative of Industrial Logistics Properties are associated (or correlated) with its Other Operating Expenses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Other Operating Expenses has no effect on the direction of Selling General Administrative i.e., Industrial Logistics' Selling General Administrative and Other Operating Expenses go up and down completely randomly.

Correlation Coefficient

0.88
Relationship DirectionPositive 
Relationship StrengthStrong

Selling General Administrative

Other Operating Expenses

Other Operating Expenses is the expense which generally does not depend on sales or production quantities of Industrial Logistics. It is also known as Industrial Logistics overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. Expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production.
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
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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

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.