Agilent Technologies Stock Analysis

Agilent Stock Analysis Notes

About 92.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 1.9. Agilent Technologies last dividend was issued on the 1st of July 2025. The entity had 1398:1000 split on the 3rd of November 2014. 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 18000 people. For more info on Agilent Technologies please contact Michael McMullen at 800 227 9770 or go to https://www.agilent.com.

Agilent Technologies Investment Alerts

Agilent Technologies Upcoming and Recent Events

Agilent Largest EPS Surprises

View All Earnings Estimates

Agilent Technologies Environmental, Social, and Governance (ESG) Scores

Agilent Technologies Thematic Classifications

Agilent Stock Institutional Investors

Note, although Agilent Technologies' institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Agilent Market Capitalization

The company currently falls under 'Large-Cap' category with a current capitalization of 33.26 B.

Agilent Profitablity

The company has Profit Margin of 0.18 %, which indicates that it operates at a low-profit margin and even a small decline in sales will erase profits resulting in a net loss, or a negative margin. This is way below average. Similarly, it shows Operating Margin of 0.24 %, which implies that for every $100 of sales, it generated an operating income of $0.24.

Management Efficiency

Agilent Technologies has return on total asset of 0.0846 % which means that for every 100 dollars spent on assets, it generated a profit of $0.0846. This is way below average. Similarly, it shows a return on equity (ROE) of 0.1888 %, implying that it made 0.1888 on every $100 invested by shareholders. Agilent Technologies' management efficiency ratios could be used to measure how well Agilent Technologies manages its routine affairs as well as how well it operates its assets and liabilities. At present, Agilent Technologies' Return On Tangible Assets are projected to increase slightly based on the last few years of reporting. The current year's Return On Capital Employed is expected to grow to 0.14, whereas Return On Assets are forecasted to decline to 0.05. At present, Agilent Technologies' Other Assets are projected to increase significantly based on the last few years of reporting. The current year's Intangible Assets is expected to grow to about 650.8 M, whereas Total Assets are forecasted to decline to about 9.4 B.

Technical Drivers

As of the 16th of June 2025, Agilent Technologies shows the Standard Deviation of 2.54, risk adjusted performance of 0.003, and Mean Deviation of 1.81. Agilent Technologies technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.

Agilent Technologies Price Movement Analysis

Study

Hilbert Transform Instantaneous Trendline Hilbert Transform Instantaneous Trendline Midpoint Price over period Weighted Moving Average Parabolic SAR Extended Triple Exponential Moving Average T3 MidPoint over period MESA Adaptive Moving Average Kaufman Adaptive Moving Average All Moving Average Triangular Moving Average MAVP Bollinger Bands Exponential Moving Average Simple Moving Average Parabolic SAR Triple Exponential Moving Average Double Exponential Moving Average

Agilent Technologies Insider Trading Activities

Agilent Technologies Outstanding Bonds

Agilent Technologies Predictive Daily Indicators

Agilent Technologies Corporate Filings

Agilent Technologies Forecast Models

Agilent Technologies' time-series forecasting models are one of many Agilent Technologies' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Agilent Technologies' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Agilent Technologies prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Agilent shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Agilent Technologies. By using and applying Agilent Stock analysis, traders can create a robust methodology for identifying Agilent entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Agilent analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Agilent analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Agilent Technologies stock analysis indicators help investors evaluate how Agilent Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Agilent Technologies shares will generate the highest return on investment. By understating and applying Agilent Technologies stock analysis, traders can identify Agilent Technologies position entry and exit signals to maximize returns.

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 the 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.