Installed Net Receivables from 2010 to 2024

IBP Stock  USD 217.09  5.85  2.77%   
Installed Building Net Receivables yearly trend continues to be relatively stable with very little volatility. Net Receivables is likely to grow to about 477.8 M this year. During the period from 2010 to 2024, Installed Building Net Receivables destribution of quarterly values had range of 442.7 M from its regression line and mean deviation of  129,386,027. View All Fundamentals
 
Net Receivables  
First Reported
2012-12-31
Previous Quarter
473.8 M
Current Value
451 M
Quarterly Volatility
132 M
 
Yuan Drop
 
Covid
Check Installed Building financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Installed Building's main balance sheet or income statement drivers, such as Depreciation And Amortization of 132 M, Interest Expense of 19.6 M or Selling General Administrative of 192.8 M, as well as many indicators such as Price To Sales Ratio of 1.13, Dividend Yield of 0.0124 or PTB Ratio of 7.3. Installed financial statements analysis is a perfect complement when working with Installed Building Valuation or Volatility modules.
  
Check out the analysis of Installed Building Correlation against competitors.

Latest Installed Building's Net Receivables Growth Pattern

Below is the plot of the Net Receivables of Installed Building Products over the last few years. It is Installed Building's Net Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Installed Building's overall financial position and show how it may be relating to other accounts over time.
Net Receivables10 Years Trend
Slightly volatile
   Net Receivables   
       Timeline  

Installed Net Receivables Regression Statistics

Arithmetic Mean203,854,400
Geometric Mean143,992,376
Coefficient Of Variation76.63
Mean Deviation129,386,027
Median180,725,000
Standard Deviation156,210,808
Sample Variance24401.8T
Range442.7M
R-Value0.97
Mean Square Error1564.7T
R-Squared0.94
Slope33,873,946
Total Sum of Squares341625.4T

Installed Net Receivables History

2024477.8 M
2023455 M
2022426.7 M
2021312.8 M
2020266.6 M
2019244.5 M
2018214.1 M

About Installed Building Financial Statements

Installed Building shareholders use historical fundamental indicators, such as Net Receivables, to determine how well the company is positioned to perform in the future. Although Installed Building investors may analyze each financial statement separately, they are all interrelated. The changes in Installed Building's assets and liabilities, for example, are also reflected in the revenues and expenses on on Installed Building'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
Net Receivables455 M477.8 M

Pair Trading with Installed Building

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 Installed Building 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 Installed Building will appreciate offsetting losses from the drop in the long position's value.

Moving together with Installed Stock

  0.63BC BrunswickPairCorr

Moving against Installed Stock

  0.34FORD Forward IndustriesPairCorr
The ability to find closely correlated positions to Installed Building could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Installed Building 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 Installed Building - 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 Installed Building Products to buy it.
The correlation of Installed Building 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 Installed Building moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Installed Building 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 Installed Building 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 Installed Stock Analysis

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