Compare Agilent Technologies Inc (A) vs Automatic Data Processing Inc (ADP) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Agilent Technologies Inc vs Automatic Data Processing Inc — how do they compare? Agilent Technologies Inc trades at $149.35 (market cap $42.00B), while Automatic Data Processing Inc trades at $272 (market cap $108.72B). The key difference: Automatic Data Processing Inc is far larger — about 2.6× Agilent Technologies Inc's market cap, and Automatic Data Processing Inc pays the higher dividend (2.48%). Which is the better fit depends on your goals.
| A | ADP | |
|---|---|---|
Market Cap | $42.00B | $108.72B |
Sector | Health | Industrials |
52-Week High | $157.20 | $309.03 |
52-Week Low | $110.24 | $188.79 |
Enterprise Value | $43.55B | $109.76B |
Dividend Yield | 0.69% | 2.48% |
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 $145.97, up 3.28% in the last session, with a bullish technical outlook from moving averages but overbought RSI levels. The company reported strong Q1 2026 earnings, beating estimates with EPS of $1.49, and maintains solid profitability with a net income margin of 19.55%. Recent developments include FDA and EU approvals for diagnostic assays and the acquisition of Biocare Medical, enhancing its healthcare portfolio.
The stock offers upside to the consensus price target of $154.90, supported by analyst optimism (77.5% buy ratings), but high valuation ratios like a P/E of 146.56 pose risks. Investors should monitor execution of growth initiatives and competitive pressures in the life sciences sector, with earnings on August 26, 2026, as a key catalyst.
ADP trades at $271.32, down 0.8% for the day, with strong technical momentum showing bullish moving averages and key support at $269. The company demonstrates robust fundamentals with consistent earnings beats, 20.11% net margins, and 72.24% ROE. Recent Q4 2026 results showed 7% revenue growth and 17% EPS growth, driving positive analyst sentiment despite elevated valuation multiples.
Outlook remains positive with a $280.50 consensus price target offering 3.4% upside potential. Key opportunities include margin expansion and dividend stability, while risks center on high valuation sensitivity and labor market volatility affecting ADP's payroll processing business. The stock presents a quality growth opportunity with disciplined risk management required.
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 →
