Franklin Days Payables Outstanding from 2010 to 2024

FSP Stock  USD 1.94  0.01  0.51%   
Franklin Street Days Payables Outstanding yearly trend continues to be relatively stable with very little volatility. Days Payables Outstanding is likely to grow to 157.99 this year. During the period from 2010 to 2024, Franklin Street Days Payables Outstanding destribution of quarterly values had range of 205 from its regression line and mean deviation of  25.65. View All Fundamentals
 
Days Payables Outstanding  
First Reported
2010-12-31
Previous Quarter
115.21696778
Current Value
157.99
Quarterly Volatility
43.71551933
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Franklin Street financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Franklin Street's main balance sheet or income statement drivers, such as Interest Expense of 16.4 M, Other Operating Expenses of 129.2 M or Operating Income of 32.7 M, as well as many indicators such as Price To Sales Ratio of 1.91, Dividend Yield of 0.0148 or PTB Ratio of 0.35. Franklin financial statements analysis is a perfect complement when working with Franklin Street Valuation or Volatility modules.
  
Check out the analysis of Franklin Street Correlation against competitors.

Latest Franklin Street's Days Payables Outstanding Growth Pattern

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

Franklin Days Payables Outstanding Regression Statistics

Arithmetic Mean193.62
Geometric Mean189.42
Coefficient Of Variation22.58
Mean Deviation25.65
Median188.22
Standard Deviation43.72
Sample Variance1,911
Range205
R-Value0.08
Mean Square Error2,046
R-Squared0.01
Significance0.79
Slope0.75
Total Sum of Squares26,755

Franklin Days Payables Outstanding History

2024 157.99
2023 115.22
2022 210.24
2021 320.43
2020 228.05
2019 202.44
2018 185.33

About Franklin Street Financial Statements

Franklin Street shareholders use historical fundamental indicators, such as Days Payables Outstanding, to determine how well the company is positioned to perform in the future. Although Franklin Street investors may analyze each financial statement separately, they are all interrelated. The changes in Franklin Street's assets and liabilities, for example, are also reflected in the revenues and expenses on on Franklin Street'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 Payables Outstanding 115.22  157.99 

Pair Trading with Franklin Street

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 Franklin Street 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 Franklin Street will appreciate offsetting losses from the drop in the long position's value.

Moving together with Franklin Stock

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Moving against Franklin Stock

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The ability to find closely correlated positions to Franklin Street could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Franklin Street 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 Franklin Street - 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 Franklin Street Properties to buy it.
The correlation of Franklin Street 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 Franklin Street moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Franklin Street Prop 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 Franklin Street 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 Franklin Stock Analysis

When running Franklin Street's price analysis, check to measure Franklin Street'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 Franklin Street is operating at the current time. Most of Franklin Street's value examination focuses on studying past and present price action to predict the probability of Franklin Street's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Franklin Street's price. Additionally, you may evaluate how the addition of Franklin Street to your portfolios can decrease your overall portfolio volatility.