A Stock Summary and Trading Ideas (Agilent Technologies | NYSE:A)

Originally spun out of Hewlett-Packard in 1999, Agilent has evolved into a leading life sciences and diagnostics firm. Today, Agilent's measurement technologies serve a broad base of customers with its three operating segments: life science and applied tools, cross lab (consisting of consumables and services related to life science and applied tools), and diagnostics and genomics. Over half of its sales are generated from the biopharmaceutical, chemical, and advanced materials end markets, but it also supports clinical lab, environmental, forensics, food, academic, and government-related organizations. The company is geographically diverse, with operations in the U.S. and China representing the largest country concentrations.

Agilent Technologies trades on the NYSE stock market under the symbol A.

As of November 8, 2024, A stock price declined to $136.68 with 1,760,636 million shares trading.

A has a beta of 0.98, meaning it tends to be less sensitive to market movements. A has a correlation of 0.16 to the broad based SPY ETF.

A has a market cap of $39.30 billion. This is considered a Large Cap stock.

Last quarter Agilent Technologies reported $2 billion in Revenue and $1.32 earnings per share. This beat revenue expectation by $18 million and exceeded earnings estimates by $.06.

In the last 3 years, A traded as high as $165.68 and as low as $96.80.

The top ETF exchange traded funds that A belongs to (by Net Assets): VTI, VOO, VO, SPY, IVV.

A has underperformed the market in the last year with a return of +24.5%, while the SPY ETF gained +38.5%. In the last 3 month period, A fell short of the market, returning +2.2%, while SPY returned +15.7%. However, in the most recent 2 weeks A has outperformed the stock market by returning +4.6%, while SPY returned +3.3%.

A support price is $136.99 and resistance is $142.27 (based on 1 day standard deviation move). This means that using the most recent 20 day stock volatility and applying a one standard deviation move around the stock's closing price, stastically there is a 67% probability that A shares will trade within this expected range on the day.