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EXC vs DDOG Comparison
Compare EXC & DDOG Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Company Overview
Basic Information| Metric | EXC | DDOG |
|---|---|---|
| Founded | 1999 | 2010 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Power Generation | Computer Software: Prepackaged Software |
| Sector | Utilities | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 45.4B | 44.0B |
| IPO Year | N/A | 2019 |
Fundamental Metrics
Financial Performance| Metric | EXC | DDOG |
|---|---|---|
| Price | $44.69 | $129.94 |
| Analyst Decision | Buy | Buy |
| Analyst Count | 13 | 33 |
| Target Price | $49.85 | ★ $178.58 |
| AVG Volume (30 Days) | ★ 8.5M | 6.6M |
| Earning Date | 02-12-2026 | 02-10-2026 |
| Dividend Yield | ★ 3.64% | N/A |
| EPS Growth | ★ 14.88 | N/A |
| EPS | ★ 2.79 | 0.31 |
| Revenue | ★ $24,317,000,000.00 | $3,211,691,000.00 |
| Revenue This Year | $6.08 | $28.94 |
| Revenue Next Year | $3.67 | $21.21 |
| P/E Ratio | ★ $15.76 | $374.46 |
| Revenue Growth | 6.08 | ★ 26.63 |
| 52 Week Low | $40.81 | $81.63 |
| 52 Week High | $48.51 | $201.69 |
Technical Indicators
Market Signals| Indicator | EXC | DDOG |
|---|---|---|
| Relative Strength Index (RSI) | 55.24 | 52.83 |
| Support Level | $43.55 | $105.80 |
| Resistance Level | $44.42 | $131.44 |
| Average True Range (ATR) | 0.88 | 6.39 |
| MACD | 0.01 | -0.02 |
| Stochastic Oscillator | 78.96 | 66.93 |
Price Performance
Historical ComparisonAbout EXC Exelon Corporation
Exelon serves approximately 10 million power and gas customers at its six regulated utilities in Illinois, Pennsylvania, Maryland, New Jersey, Delaware, and Washington, D.C.
About DDOG Datadog Inc.
Datadog is a cloud-native company that focuses on analyzing machine data. The firm's product portfolio, delivered via software as a service, enables clients to monitor and analyze their entire information technology infrastructure, from servers to applications and Python scripts. Datadog's platform can ingest and analyze large amounts of machine-generated data in real time, allowing clients to utilize it for a variety of applications throughout their businesses to ensure uptime and latency objectives.