Industrial Stock Based Compensation from 2010 to 2026
| ILPT Stock | USD 5.33 0.02 0.37% |
Stock Based Compensation | First Reported 2010-12-31 | Previous Quarter 2 M | Current Value 1.8 M | Quarterly Volatility 574.4 K |
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 131.6 K, Interest Income of 13.8 M or Depreciation And Amortization of 207.7 M, as well as many indicators such as Price To Sales Ratio of 0.59, Dividend Yield of 0.012 or PTB Ratio of 0.47. Industrial financial statements analysis is a perfect complement when working with Industrial Logistics Valuation or Volatility modules.
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The evolution of Stock Based Compensation for Industrial Logistics Properties provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Industrial Logistics compares to historical norms and industry peers.
Latest Industrial Logistics' Stock Based Compensation Growth Pattern
Below is the plot of the Stock Based Compensation of Industrial Logistics Properties over the last few years. It is compensation provided to employees in the form of equity or options to purchase company stock. This type of compensation is used to align the interests of employees and shareholders. Industrial Logistics' Stock Based Compensation 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.
| Stock Based Compensation | 10 Years Trend |
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Stock Based Compensation |
| Timeline |
Industrial Stock Based Compensation Regression Statistics
| Arithmetic Mean | 1,391,005 | |
| Geometric Mean | 1,289,217 | |
| Coefficient Of Variation | 41.29 | |
| Mean Deviation | 524,477 | |
| Median | 927,000 | |
| Standard Deviation | 574,386 | |
| Sample Variance | 329.9B | |
| Range | 1.4M | |
| R-Value | 0.78 | |
| Mean Square Error | 139.1B | |
| R-Squared | 0.60 | |
| Significance | 0.0002 | |
| Slope | 88,450 | |
| Total Sum of Squares | 5.3T |
Industrial Stock Based Compensation History
Other Fundumenentals of Industrial Logistics
Industrial Logistics Stock Based Compensation component correlations
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About Industrial Logistics Financial Statements
Industrial Logistics shareholders use historical fundamental indicators, such as Stock Based Compensation, to determine how well the company is positioned to perform in the future. Although Industrial Logistics investors may analyze each financial statement separately, they are all interrelated. The changes in Industrial Logistics' assets and liabilities, for example, are also reflected in the revenues and expenses on on Industrial Logistics' 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 | ||
| Stock Based Compensation | 2 M | 1.8 M | |
| Stock Based Compensation To Revenue | 0.01 | 0.01 |
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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.