First Days Of Sales Outstanding from 2010 to 2024

FR Stock  USD 53.75  1.06  2.01%   
First Industrial Days Of Sales Outstanding yearly trend continues to be relatively stable with very little volatility. Days Of Sales Outstanding is likely to grow to 96.76 this year. During the period from 2010 to 2024, First Industrial Days Of Sales Outstanding destribution of quarterly values had range of 93.2436 from its regression line and mean deviation of  13.50. View All Fundamentals
 
Days Of Sales Outstanding  
First Reported
2010-12-31
Previous Quarter
92.1530975
Current Value
96.76
Quarterly Volatility
22.91065047
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check First Industrial financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among First Industrial's main balance sheet or income statement drivers, such as Depreciation And Amortization of 137 M, Interest Expense of 59.2 M or Selling General Administrative of 33.2 M, as well as many indicators such as Price To Sales Ratio of 11.91, Dividend Yield of 0.0231 or PTB Ratio of 1.37. First financial statements analysis is a perfect complement when working with First Industrial Valuation or Volatility modules.
  
Check out the analysis of First Industrial Correlation against competitors.

Latest First Industrial's Days Of Sales Outstanding Growth Pattern

Below is the plot of the Days Of Sales Outstanding of First Industrial Realty over the last few years. It is First Industrial's Days Of Sales Outstanding historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in First Industrial's overall financial position and show how it may be relating to other accounts over time.
Days Of Sales Outstanding10 Years Trend
Slightly volatile
   Days Of Sales Outstanding   
       Timeline  

First Days Of Sales Outstanding Regression Statistics

Arithmetic Mean68.07
Geometric Mean58.05
Coefficient Of Variation33.66
Mean Deviation13.50
Median69.36
Standard Deviation22.91
Sample Variance524.90
Range93.2436
R-Value0.80
Mean Square Error202.96
R-Squared0.64
Significance0.0003
Slope4.10
Total Sum of Squares7,349

First Days Of Sales Outstanding History

2024 96.76
2023 92.15
2022 87.92
2021 79.57
2020 73.55
2019 73.89
2018 68.91

About First Industrial Financial Statements

First Industrial shareholders use historical fundamental indicators, such as Days Of Sales Outstanding, to determine how well the company is positioned to perform in the future. Although First Industrial investors may analyze each financial statement separately, they are all interrelated. The changes in First Industrial's assets and liabilities, for example, are also reflected in the revenues and expenses on on First Industrial's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Days Of Sales Outstanding 92.15  96.76 

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

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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.
Pair CorrelationCorrelation Matching

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.