Installed Net Receivables vs Long Term Debt Analysis

IBP Stock  USD 198.50  7.27  3.53%   
Installed Building financial indicator trend analysis is infinitely more than just investigating Installed Building recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Installed Building is a good investment. Please check the relationship between Installed Building Net Receivables and its Long Term Debt accounts. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Installed Building Products. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of labor statistics.

Net Receivables vs Long Term Debt

Net Receivables vs Long Term Debt Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Installed Building Net Receivables account and Long Term Debt. At this time, the significance of the direction appears to have very strong relationship.
The correlation between Installed Building's Net Receivables and Long Term Debt is 0.89. Overlapping area represents the amount of variation of Net Receivables that can explain the historical movement of Long Term Debt in the same time period over historical financial statements of Installed Building Products, assuming nothing else is changed. The correlation between historical values of Installed Building's Net Receivables and Long Term Debt is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Receivables of Installed Building Products are associated (or correlated) with its Long Term Debt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Long Term Debt has no effect on the direction of Net Receivables i.e., Installed Building's Net Receivables and Long Term Debt go up and down completely randomly.

Correlation Coefficient

0.89
Relationship DirectionPositive 
Relationship StrengthStrong

Net Receivables

Long Term Debt

Long-term debt is a debt that Installed Building has held for over one year. Long-term debt appears on Installed Building Products balance sheet and also includes long-term leases. The most common forms of long term debt are bonds payable, long-term notes payable, mortgage payable, pension liabilities, and lease liabilities. In the corporate world, long-term debt is generally used to fund big-ticket items, such as machinery, buildings, and land. The total of long-term debt reported on Installed Building Products balance sheet is the sum of the balances of all categories of long-term debt. Debt that is not due within the current year and is often considered to be financing activities that are to be repaid over several years.
Most indicators from Installed Building's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Installed Building 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 Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Installed Building Products. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of labor statistics.
At this time, Installed Building's Tax Provision is relatively stable compared to the past year. As of 12/14/2024, Sales General And Administrative To Revenue is likely to grow to 0.17, while Selling General Administrative is likely to drop slightly above 192.8 M.
 2021 2022 2023 2024 (projected)
Interest Expense32.8M41.6M37M19.6M
Depreciation And Amortization102.9M117.7M125.7M132.0M

Installed Building fundamental ratios Correlations

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Click cells to compare fundamentals

Installed Building Account Relationship Matchups

Installed Building fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets1.1B1.2B1.7B1.8B2.0B2.1B
Short Long Term Debt Total620.8M623.0M937.4M946.0M954.8M1.0B
Other Current Liab39.3M70.0M94.1M90.6M93.6M98.3M
Total Current Liabilities214.1M236.5M307.6M328.1M346.4M189.0M
Total Stockholder Equity250.0M319.2M416.8M493.5M670.3M703.8M
Property Plant And Equipment Net152.1M157.8M175.8M194.9M215.3M108.9M
Current Deferred Revenue33.6M45.9M51.0M28.5M(109.2M)(103.7M)
Net Debt442.9M391.5M603.9M716.4M568.3M322.9M
Retained Earnings173.4M269.4M352.5M513.1M693.8M728.5M
Accounts Payable98.9M101.5M132.7M149.2M158.6M92.6M
Cash177.9M231.5M333.5M229.6M386.5M405.8M
Non Current Assets Total517.5M563.7M793.9M894.5M911.3M956.9M
Non Currrent Assets Other16.2M17.7M31.1M8.8M28.5M29.9M
Cash And Short Term Investments215.9M231.5M333.5M229.6M386.5M405.8M
Net Receivables244.5M266.6M312.8M426.7M455M477.8M
Good Will195.7M216.9M322.5M373.6M398.8M418.7M
Common Stock Total Equity329K331K333K334K300.6K285.6K
Common Stock Shares Outstanding29.9M29.7M29.6M28.9M28.3M24.0M
Liabilities And Stockholders Equity1.1B1.2B1.7B1.8B2.0B2.1B
Non Current Liabilities Total635.3M632.0M928.8M957.4M964.6M1.0B
Inventory74.6M77.2M143.0M176.6M162.8M170.9M
Other Current Assets47.0M48.7M70.0M51.5M65.7M33.8M
Other Stockholder Equity83.5M58.2M64.2M(60.5M)(57.5M)(54.6M)
Total Liab849.4M868.5M1.2B1.3B1.3B668.1M
Property Plant And Equipment Gross152.1M157.8M175.8M194.9M511.8M537.4M
Total Current Assets581.9M623.9M859.3M884.4M1.1B1.1B
Accumulated Other Comprehensive Income(7.1M)(8.8M)(227K)40.6M33.7M35.4M
Short Term Debt42.4M65.0M80.8M88.2M94.2M98.9M
Intangible Assets153.6M171.4M264.4M283.5M268.7M138.9M
Common Stock329K331K333K334K300K285K
Other Liab56.9M53.2M47.2M71.0M81.7M42.7M
Other Assets16.2M180.0M31.1M42.5M48.9M33.9M
Long Term Debt545.0M542.0M832.2M830.2M835.1M466.3M
Property Plant Equipment106.4M104.0M175.8M194.9M224.2M235.4M
Net Tangible Assets(99.2M)(132.0M)(170.1M)493.5M567.5M595.9M
Retained Earnings Total Equity173.4M269.4M352.5M513.1M590.1M619.6M
Long Term Debt Total548.6M542.0M832.2M836.6M962.1M1.0B
Capital Surpluse190.2M199.8M211.4M228.8M263.2M202.4M
Capital Lease Obligations51.6M57.7M74.3M84.8M87.5M44.5M

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

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Moving against Installed Stock

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  0.4FOSL Fossil GroupPairCorr
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.