First Ebit vs Income Tax Expense Analysis
FR Stock | USD 52.69 0.08 0.15% |
First Industrial financial indicator trend analysis is much more than just examining First Industrial Realty latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether First Industrial Realty is a good investment. Please check the relationship between First Industrial Ebit and its Income Tax Expense accounts. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in First Industrial Realty. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.
Ebit vs Income Tax Expense
Ebit vs Income Tax Expense Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of First Industrial Realty Ebit account and Income Tax Expense. At this time, the significance of the direction appears to have weak contrarian relationship.
The correlation between First Industrial's Ebit and Income Tax Expense is -0.17. Overlapping area represents the amount of variation of Ebit that can explain the historical movement of Income Tax Expense in the same time period over historical financial statements of First Industrial Realty, assuming nothing else is changed. The correlation between historical values of First Industrial's Ebit and Income Tax Expense is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Ebit of First Industrial Realty are associated (or correlated) with its Income Tax Expense. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Income Tax Expense has no effect on the direction of Ebit i.e., First Industrial's Ebit and Income Tax Expense go up and down completely randomly.
Correlation Coefficient | -0.17 |
Relationship Direction | Negative |
Relationship Strength | Insignificant |
Ebit
Income Tax Expense
Most indicators from First Industrial's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into First Industrial Realty 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 Investing Opportunities to better understand how to build diversified portfolios, which includes a position in First Industrial Realty. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. At this time, First Industrial's Sales General And Administrative To Revenue is relatively stable compared to the past year. As of 11/21/2024, Enterprise Value is likely to grow to about 9.6 B, while Selling General Administrative is likely to drop slightly above 33.2 M.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 345.0M | 396.3M | 444.7M | 305.8M | Total Revenue | 476.3M | 539.9M | 614.0M | 396.4M |
First Industrial fundamental ratios Correlations
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First Industrial Account Relationship Matchups
High Positive Relationship
High Negative Relationship
First Industrial fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 3.5B | 3.8B | 4.2B | 5.0B | 5.2B | 3.1B | |
Short Long Term Debt Total | 1.5B | 1.9B | 1.6B | 2.1B | 2.2B | 1.5B | |
Total Stockholder Equity | 1.8B | 1.9B | 2.2B | 2.5B | 2.6B | 1.3B | |
Net Debt | 1.5B | 1.5B | 1.6B | 2.0B | 2.2B | 1.5B | |
Retained Earnings | (370.8M) | (306.3M) | (178.3M) | 23.1M | 127.7M | 134.1M | |
Non Currrent Assets Other | 3.1B | 3.3B | 3.8B | (532.8M) | 4.9B | 5.1B | |
Other Assets | 128.3M | 3.6B | 291.01 | 4.6B | 25.8M | 24.5M | |
Common Stock Shares Outstanding | 126.7M | 127.9M | 129.8M | 132.1M | 132.3M | 79.2M | |
Liabilities And Stockholders Equity | 3.5B | 3.8B | 4.2B | 5.0B | 5.2B | 3.1B | |
Non Current Liabilities Total | 1.4B | 1.7B | 1.7B | 2.1B | 1.9B | 1.5B | |
Other Stockholder Equity | 2.2B | 2.6B | 2.4B | 2.4B | 2.4B | 1.7B | |
Total Liab | 1.7B | 1.8B | 1.9B | 2.4B | 2.5B | 1.8B | |
Other Current Liab | 30.6M | 33.7M | 37.2M | (74.4M) | 45.0M | 42.2M | |
Total Current Liabilities | 303.2M | 154.0M | 269.3M | 363.1M | 178.6M | 197.1M | |
Accounts Payable | 114.6M | 120.3M | 153.1M | 194.0M | 130.8M | 133.6M | |
Cash | 21.1M | 162.1M | 58.6M | 133.2M | 43.8M | 34.1M | |
Non Current Assets Total | 3.1B | 3.4B | 3.9B | 4.5B | 5.0B | 2.7B | |
Cash And Short Term Investments | 21.1M | 162.1M | 58.6M | 133.2M | 43.8M | 34.1M | |
Net Receivables | 86.2M | 90.3M | 103.8M | 130.1M | 155.0M | 162.8M | |
Common Stock Total Equity | 1.3M | 1.3M | 1.3M | 1.3M | 1.5M | 855.3K | |
Total Current Assets | 421.8M | 424.9M | 318.7M | 475.3M | 198.9M | 143.6M | |
Accumulated Other Comprehensive Income | (6.9M) | (17.0M) | (4.2M) | 33.4M | 22.3M | 23.4M | |
Common Stock | 1.3M | 1.3M | 1.3M | 1.3M | 1.3M | 876.7K | |
Other Liab | 69.4M | 73.2M | 107.8M | 115.3M | 103.8M | 75.0M | |
Long Term Debt | 1.3B | 1.6B | 1.5B | 1.9B | 1.9B | 1.7B | |
Other Current Assets | (239.0M) | (289.9M) | (162.6M) | 11.9M | 203.3M | 213.4M | |
Inventory | 59.5M | 1.0 | 15.7M | 318.8M | 11.9M | 0.95 | |
Intangible Assets | 28.5M | 25.2M | 21.3M | 24.1M | 21.5M | 34.5M | |
Net Tangible Assets | 1.7B | 1.9B | 2.0B | 2.4B | 2.8B | 1.6B | |
Noncontrolling Interest In Consolidated Entity | 33.9M | 44.6M | 53.6M | 71.1M | 64.0M | 109.9M | |
Retained Earnings Total Equity | (370.8M) | (306.3M) | (178.3M) | 23.1M | 26.6M | 27.9M | |
Long Term Debt Total | 1.3B | 1.6B | 1.5B | 1.9B | 2.2B | 1.5B | |
Capital Surpluse | 2.1B | 2.2B | 2.4B | 2.4B | 2.8B | 2.3B | |
Long Term Investments | 18.2M | 61.4M | 36.0M | 8.8M | 44.7M | 29.2M | |
Non Current Liabilities Other | 34.3M | 33.9M | 31.8M | 37.4M | 43.0M | 22.3M | |
Short Term Debt | 158M | 261.9M | 79M | 320K | 2.8M | 2.7M | |
Property Plant Equipment | 3.0B | 3.3B | 3.8B | 4.4B | 5.1B | 3.0B |
Pair Trading with First Industrial
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 First Industrial 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 First Industrial will appreciate offsetting losses from the drop in the long position's value.Moving together with First Stock
Moving against First Stock
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The ability to find closely correlated positions to First Industrial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Industrial 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 First Industrial - 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 First Industrial Realty to buy it.
The correlation of First Industrial 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 First Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Industrial Realty 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 First Industrial 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 First Stock Analysis
When running First Industrial's price analysis, check to measure First Industrial's 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 First Industrial is operating at the current time. Most of First Industrial's value examination focuses on studying past and present price action to predict the probability of First Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move First Industrial's price. Additionally, you may evaluate how the addition of First Industrial to your portfolios can decrease your overall portfolio volatility.