Agilent Interest Coverage Trend from 2010 to 2022

A -  USA Stock  

USD 120.38  4.03  3.24%

Agilent Technologies Interest Coverage is increasing over the years with slightly volatile fluctuation. Interest Coverage is expected to dwindle to 13.86. From 2010 to 2022 Agilent Technologies Interest Coverage quarterly data regression line had arithmetic mean of 13.77 and r-squared of  0.29. Agilent Technologies Interest Expense is projected to decrease significantly based on the last few years of reporting. The past year's Interest Expense was at 72.9 Million. The current year Net Loss Income from Discontinued Operations is expected to grow to about 45.9 M, whereas Direct Expenses is forecasted to decline to about 3.3 B.
  
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Check Agilent Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Agilent main balance sheet or income statement drivers, such as Direct Expenses of 3.3 B or Consolidated Income of 1.2 B, as well as many exotic indicators such as Interest Coverage of 13.86 or Long Term Debt to Equity of 0.57. Agilent financial statements analysis is a perfect complement when working with Agilent Technologies Valuation or Volatility modules. It can also supplement various Agilent Technologies Technical models. Please continue to the analysis of Agilent Technologies Correlation against competitors.

Agilent Interest Coverage Breakdown

Showing smoothed Interest Coverage of Agilent Technologies with missing and latest data points interpolated. Agilent Technologies' Interest Coverage historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Agilent Technologies' overall financial position and show how it may be relating to other accounts over time.
Interest Coverage10 Years Trend
Increasing
Slightly volatile
 Interest Coverage 
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      Timeline 

Agilent Interest Coverage Regression Statistics

Arithmetic Mean 13.77
Geometric Mean 12.80
Coefficient Of Variation 41.82
Mean Deviation 4.35
Median 12.16
Standard Deviation 5.76
Sample Variance 33.15
Range 17.63
R-Value 0.53
Mean Square Error 25.85
R-Squared 0.29
Significance 0.06
Slope 0.79
Total Sum of Squares 397.81

Agilent Interest Coverage History

2012  9.51 
2013  7.99 
2014  8.85 
2015  10.08 
2016  14.75 
2017  25.08 
2018  24.76 
2019  12.09 
2020  17.05 
2021  15.35 
2022  13.86 

About Agilent Technologies Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Agilent Technologies income statement, its balance sheet, and the statement of cash flows. Agilent Technologies investors use historical funamental indicators, such as Agilent Technologies's Interest Coverage, to determine how well the company is positioned to perform in the future. Although Agilent Technologies investors may use each financial statement separately, they are all related. The changes in Agilent Technologies's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Agilent Technologies's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Agilent Technologies Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Agilent Technologies. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for 2022
Interest Coverage 15.35  13.86 
Earnings Before Interest Taxes and Depreciation Amortization EBITDAB1.8 B
Agilent Technologies, Inc. provides application focused solutions to the life sciences, diagnostics, and applied chemical markets worldwide. Agilent Technologies, Inc. was incorporated in 1999 and is headquartered in Santa Clara, California. Agilent Technologies operates under Diagnostics Research classification in the United States and is traded on New York Stock Exchange. It employs 17200 people.

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Pair Trading with Agilent Technologies

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 Agilent Technologies 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 Agilent Technologies will appreciate offsetting losses from the drop in the long position's value.

Agilent Technologies Pair Correlation

Correlation Analysis For Direct Indexing and Tax-loss Harvesting

The ability to find closely correlated positions to Agilent Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Agilent Technologies 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 Agilent Technologies - 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 Agilent Technologies to buy it.
The correlation of Agilent Technologies is a statistical measure of how it moves in relation to other equities. 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 Agilent Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Agilent Technologies 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 Agilent Technologies 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.
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Please continue to the analysis of Agilent Technologies Correlation against competitors. Note that the Agilent Technologies information on this page should be used as a complementary analysis to other Agilent Technologies' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Probability Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.

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When running Agilent Technologies price analysis, check to measure Agilent Technologies' 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 Agilent Technologies is operating at the current time. Most of Agilent Technologies' value examination focuses on studying past and present price action to predict the probability of Agilent Technologies' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Agilent Technologies' price. Additionally, you may evaluate how the addition of Agilent Technologies to your portfolios can decrease your overall portfolio volatility.
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Is Agilent Technologies' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Agilent Technologies. If investors know Agilent will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Agilent Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Agilent Technologies is measured differently than its book value, which is the value of Agilent that is recorded on the company's balance sheet. Investors also form their own opinion of Agilent Technologies' value that differs from its market value or its book value, called intrinsic value, which is Agilent Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Agilent Technologies' market value can be influenced by many factors that don't directly affect Agilent Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Agilent Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine Agilent Technologies value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Agilent Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.