Integer Change To Liabilities from 2010 to 2024

ITGR Stock  USD 140.80  2.02  1.46%   
Integer Holdings Change To Liabilities yearly trend continues to be relatively stable with very little volatility. Change To Liabilities is likely to grow to about 35.1 M this year. During the period from 2010 to 2024, Integer Holdings Change To Liabilities destribution of quarterly values had range of 70.4 M from its regression line and mean deviation of  18,040,359. View All Fundamentals
 
Change To Liabilities  
First Reported
2000-06-30
Previous Quarter
-11.6 M
Current Value
-1.7 M
Quarterly Volatility
11.1 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Integer Holdings financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Integer Holdings' main balance sheet or income statement drivers, such as Depreciation And Amortization of 52.9 M, Interest Expense of 29.7 M or Total Revenue of 1.7 B, as well as many indicators such as Price To Sales Ratio of 2.18, Dividend Yield of 0.0 or PTB Ratio of 2.24. Integer financial statements analysis is a perfect complement when working with Integer Holdings Valuation or Volatility modules.
  
Check out the analysis of Integer Holdings Correlation against competitors.

Latest Integer Holdings' Change To Liabilities Growth Pattern

Below is the plot of the Change To Liabilities of Integer Holdings Corp over the last few years. It is Integer Holdings' Change To Liabilities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Integer Holdings' overall financial position and show how it may be relating to other accounts over time.
Change To Liabilities10 Years Trend
Slightly volatile
   Change To Liabilities   
       Timeline  

Integer Change To Liabilities Regression Statistics

Arithmetic Mean4,779,087
Geometric Mean12,416,752
Coefficient Of Variation469.89
Mean Deviation18,040,359
Median3,193,000
Standard Deviation22,456,232
Sample Variance504.3T
Range70.4M
R-Value0.40
Mean Square Error457T
R-Squared0.16
Significance0.14
Slope1,999,033
Total Sum of Squares7060T

Integer Change To Liabilities History

202435.1 M
202333.4 M
202229 M
202119.5 M
2020-24.1 M
2019-5.8 M
2018-11.6 M

About Integer Holdings Financial Statements

Integer Holdings shareholders use historical fundamental indicators, such as Change To Liabilities, to determine how well the company is positioned to perform in the future. Although Integer Holdings investors may analyze each financial statement separately, they are all interrelated. The changes in Integer Holdings' assets and liabilities, for example, are also reflected in the revenues and expenses on on Integer Holdings' 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
Change To Liabilities33.4 M35.1 M

Pair Trading with Integer Holdings

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 Integer Holdings 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 Integer Holdings will appreciate offsetting losses from the drop in the long position's value.

Moving together with Integer Stock

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Moving against Integer Stock

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

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