Compare Agilent Technologies Inc (A) vs Automatic Data Processing Inc (ADP) Price & Performance
Price performance
Price movement over the last 24 hours
Key statistics
Key statistics
Agilent Technologies Inc vs Automatic Data Processing Inc — how do they compare? Agilent Technologies Inc trades at $128.33 (market cap $37.04B), while Automatic Data Processing Inc trades at $241.85 (market cap $98.17B). The key difference: Automatic Data Processing Inc is far larger — about 2.7× Agilent Technologies Inc's market cap, and Automatic Data Processing Inc pays the higher dividend (2.77%). Which is the better fit depends on your goals.
| A | ADP | |
|---|---|---|
Market Cap | $37.04B | $98.17B |
Sector | Health | Industrials |
52-Week High | $157.20 | $310.94 |
52-Week Low | $110.24 | $188.79 |
Enterprise Value | $38.59B | $99.24B |
Dividend Yield | 0.78% | 2.77% |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Agilent Technologies (A) trades at $131.14, up 0.34% on the day, with a bearish technical signal but strong analyst support. The stock shows solid profitability with a net margin of 19.55% and ROE of 21.33%, supported by recent earnings beats. Recent acquisitions like Biocare Medical highlight growth initiatives, while cash flow trends remain positive. Valuation ratios such as P/E of 26.22 are elevated but align with quality growth expectations.
The outlook is positive given analyst consensus with a $154.90 price target and 77.5% buy ratings. Risks include execution of acquisitions and macroeconomic pressures on life sciences spending. The stock offers growth potential from AI-driven product launches, though technical resistance near $132 may cap near-term gains.
ADP trades at $245.60, up 1.37% on the day, near its 52-week high. The stock shows bullish technical signals with consistent earnings beats in recent quarters. Revenue grew to $20.56 billion in 2025, with a net income margin of 20.12%. Analyst sentiment is mixed, with a consensus hold rating but a technical outlook suggesting strength. The company maintains strong profitability metrics and recently announced a dividend payment.
Outlook remains stable with projected revenue growth to $21.6 billion in 2026. Risks include competitive pressures and economic sensitivity. Opportunities lie in AI integration and margin expansion. The stock offers value through dividends and steady performance, though valuation multiples are elevated relative to historical averages.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Agilent Technologies Inc
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 (45% of fiscal 2021 sales), cross lab (35% of sales consisting of consumables and services related to its life science and applied tools), and diagnostics and genomics (20%). Over half of its sales are generated from the biopharmaceutical, chemical, and energy 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. (34%) and China (20%) representing the largest country concentrations.
Read more on A →About Automatic Data Processing Inc
ADP is a provider of payroll and human capital management solutions servicing the full scope of businesses from micro to global enterprises. ADP was established in 1949 and serves over 990,000 clients primarily in the United States. ADP's employer services segment offers payroll, HCM solutions, HR outsourcing, insurance and retirement services. The smaller but faster-growing PEO segment provides HR outsourcing solutions to small and midsize businesses through a co-employment model.
Read more on ADP →
