Installed Graham Number from 2010 to 2026
| IBP Stock | USD 327.73 1.94 0.60% |
Graham Number | First Reported 2010-12-31 | Previous Quarter 76.53692792 | Current Value 80.36 | Quarterly Volatility 29.40174044 |
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 70.9 M, Interest Expense of 22 M or Selling General Administrative of 222 M, as well as many indicators such as Price To Sales Ratio of 1.19, Dividend Yield of 0.0167 or PTB Ratio of 17.35. Installed financial statements analysis is a perfect complement when working with Installed Building Valuation or Volatility modules.
Installed | Graham Number | Build AI portfolio with Installed Stock |
Evaluating Installed Building's Graham Number across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Installed Building Products's fundamental strength.
Latest Installed Building's Graham Number Growth Pattern
Below is the plot of the Graham Number of Installed Building Products over the last few years. It is Installed Building's Graham Number 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.
| Graham Number | 10 Years Trend |
|
Graham Number |
| Timeline |
Installed Graham Number Regression Statistics
| Arithmetic Mean | 29.21 | |
| Geometric Mean | 13.04 | |
| Coefficient Of Variation | 100.64 | |
| Mean Deviation | 25.00 | |
| Median | 15.24 | |
| Standard Deviation | 29.40 | |
| Sample Variance | 864.46 | |
| Range | 79.1361 | |
| R-Value | 0.94 | |
| Mean Square Error | 102.94 | |
| R-Squared | 0.89 | |
| Slope | 5.49 | |
| Total Sum of Squares | 13,831 |
Installed Graham Number History
About Installed Building Financial Statements
Installed Building shareholders use historical fundamental indicators, such as Graham Number, 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 Reported | Projected for Next Year | ||
| Graham Number | 76.54 | 80.36 |
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
| 0.65 | 3GH | Kaufman Broad SA | PairCorr |
| 0.72 | C38 | Crest Nicholson Holdings | PairCorr |
| 0.64 | ALMLB | Miliboo SA | PairCorr |
Moving against Installed Stock
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.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.