Agilent Piotroski F Score

A -  USA Stock  

USD 123.85  3.47  2.88%

This module uses fundamental data of Agilent Technologies to approximate its Piotroski F score. Agilent Technologies F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Agilent Technologies. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Agilent Technologies financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Please continue to Agilent Technologies Altman Z Score, Agilent Technologies Correlation, Agilent Technologies Valuation, as well as analyze Agilent Technologies Alpha and Beta and Agilent Technologies Hype Analysis.
  
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Agilent Technologies Debt Current is projected to decrease significantly based on the last few years of reporting. The past year's Debt Current was at 86.25 Million. The current year Issuance Repayment of Debt Securities is expected to grow to about 433 M, whereas Total Debt is forecasted to decline to about 2.9 B. Agilent Technologies Calculated Tax Rate is projected to increase based on the last few years of reporting. The past year's Calculated Tax Rate was at 9.93. The current year Receivables Turnover is expected to grow to 7.32, whereas Interest Coverage is forecasted to decline to 13.86.
At this time, it appears that Agilent Technologies' Piotroski F Score is Healthy. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
6.0
Piotroski F Score - Healthy
1
Current Return On AssetsPositiveFocus
2
Change in Return on AssetsDecreasedFocus
3
Cash Flow Return on AssetsPositiveFocus
4
Current Quality of Earnings (accrual)ImprovingFocus
5
Asset Turnover GrowthDecreaseFocus
6
Current Ratio ChangeIncreaseFocus
7
Long Term Debt Over Assets ChangeLower LeverageFocus
8
Change In Outstending SharesIncreaseFocus
9
Change in Gross MarginIncreaseFocus

Agilent Technologies Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Agilent Technologies is to make sure Agilent is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Agilent Technologies' auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Agilent Technologies' financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Weighted Average Shares281.7 M273.6 M
Fairly Up
Decreasing
Slightly volatile
Weighted Average Shares Diluted284.9 M276.3 M
Sufficiently Up
Decreasing
Slightly volatile
Net Cash Flow from Operations1.5 B1.7 B
Fairly Down
Increasing
Slightly volatile
Total AssetsB9.6 B
Notably Down
Decreasing
Very volatile
Total Liabilities4.4 B4.8 B
Significantly Down
Decreasing
Very volatile
Current Assets3.6 B3.4 B
Sufficiently Up
Decreasing
Slightly volatile
Current Liabilities1.4 B1.5 B
Notably Down
Decreasing
Stable
Total Debt2.9 B3.1 B
Significantly Down
Increasing
Slightly volatile
Return on Average Assets0.09250.11
Fairly Down
Increasing
Stable
Gross Margin0.630.62
Fairly Up
Increasing
Slightly volatile
Asset Turnover0.530.55
Sufficiently Down
Decreasing
Stable

Agilent Technologies F Score Driver Matrix

One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Agilent Technologies' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Agilent Technologies in a much-optimized way.

About Agilent Technologies Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

Net Cash Flow or Change in Cash and Cash Equivalents

41.76 Million

Share
Agilent Technologies Net Cash Flow or Change in Cash and Cash Equivalents is projected to decrease significantly based on the last few years of reporting. The past year's Net Cash Flow or Change in Cash and Cash Equivalents was at 38.7 Million

Agilent Technologies Current Valuation Drivers

We derive many important indicators used in calculating different scores of Agilent Technologies from analyzing Agilent Technologies' financial statements. These drivers represent accounts that assess Agilent Technologies' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Agilent Technologies' important valuation drivers and their relationship over time.
201720182019202020212022 (projected)
Net Income Per Employee21.35 K65.71 K43.72 K71.18 K64.06 K52.29 K
Revenue Per Employee332.03 K316.75 K324.66 K371.71 K334.54 K316.1 K
Average Assets8.59 B9.01 B9.53 B10.32 B9.29 B8.72 B
Earnings before Tax946 M919 M842 M1.36 B1.56 B1.31 B
Average Equity4.57 B4.91 B4.87 B4.99 B5.74 B5.74 B
Enterprise Value20.32 B23.48 B32.44 B49.11 B56.47 B60.93 B
Free Cash Flow911 M866 M803 M1.3 B1.49 B1.27 B
Invested Capital3.46 B3.7 B4.64 B5.29 B4.76 B4.27 B
Invested Capital Average3.56 B3.73 B4.43 B5.09 B5.85 B5.45 B
Market Capitalization20.65 B23.44 B31.48 B47.68 B54.83 B59.16 B
Tangible Asset Value5.08 B4.75 B5.19 B5.75 B5.17 B5.16 B
Working Capital2.68 B1.11 B1.95 B2.09 B1.88 B2.13 B

About Agilent Technologies Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Agilent Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Agilent Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Agilent Technologies based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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.

Agilent Technologies Investors Sentiment

The influence of Agilent Technologies' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Agilent. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Agilent Technologies Implied Volatility

    
  42.69  
Agilent Technologies' implied volatility exposes the market's sentiment of Agilent Technologies stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Agilent Technologies' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Agilent Technologies stock will not fluctuate a lot when Agilent Technologies' options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Agilent Technologies in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Agilent Technologies' short interest history, or implied volatility extrapolated from Agilent Technologies options trading.

Current Sentiment - A

Agilent Technologies Investor Sentiment

Most of Macroaxis users are presently bullish on Agilent Technologies. What is your sentiment towards investing in Agilent Technologies? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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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.
Pair CorrelationCorrelation Matching
Please continue to Agilent Technologies Altman Z Score, Agilent Technologies Correlation, Agilent Technologies Valuation, as well as analyze Agilent Technologies Alpha and Beta and Agilent Technologies Hype Analysis. 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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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.