Compare MA & ORCL Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
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Current Price
| Metric | MA | ORCL |
|---|---|---|
| Founded | 1966 | 1977 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Business Services | Computer Software: Prepackaged Software |
| Sector | Consumer Discretionary | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 483.7B | 443.7B |
| IPO Year | 2005 | 2005 |
| Metric | MA | ORCL |
|---|---|---|
| Price | $655.54 | $115.15 |
| Analyst Decision | Strong Buy | Buy |
| Analyst Count | 40 | 41 |
| Target Price | ★ $707.79 | $235.46 |
| AVG Volume (30 Days) | 3.2M | ★ 29.3M |
| Earning Date | 10-29-2026 | 12-09-2026 |
| Dividend Yield | 0.52% | ★ 1.62% |
| EPS Growth | 18.93 | ★ 34.33 |
| EPS | ★ 14.59 | 1.56 |
| Revenue | $32,791,000,000.00 | ★ $67,357,000,000.00 |
| Revenue This Year | $13.93 | $34.24 |
| Revenue Next Year | $12.63 | $45.78 |
| P/E Ratio | ★ $46.04 | $79.39 |
| Revenue Growth | 16.42 | ★ 17.35 |
| 52 Week Low | $464.52 | $114.50 |
| 52 Week High | $673.50 | $250.25 |
| Indicator | MA | ORCL |
|---|---|---|
| Relative Strength Index (RSI) | 74.94 | 43.17 |
| Support Level | $554.62 | $122.76 |
| Resistance Level | N/A | $149.52 |
| Average True Range (ATR) | 12.23 | 6.97 |
| MACD | 4.16 | -0.38 |
| Stochastic Oscillator | 98.80 | 18.04 |
Mastercard is the second-largest payment processor in the world, having processed close to $11 trillion in volume during 2025. Mastercard operates in over 200 countries and processes transactions in over 150 currencies.
Oracle provides enterprise applications and infrastructure offerings through a variety of flexible IT deployment models, including on-premises, cloud-based, and hybrid. Founded in 1977, Oracle pioneered the first commercial SQL-based relational database management system, which is commonly used by the world's largest companies for high-volume online transaction processing workloads. Besides databases, Oracle also sells enterprise resource planning platforms and cloud infrastructure that play an increasingly important role in large language model training and inferencing.