Compare ED & DDOG Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | ED | DDOG |
|---|---|---|
| Founded | 1884 | 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 | 39.5B | 44.0B |
| IPO Year | 2009 | 2019 |
| Metric | ED | DDOG |
|---|---|---|
| Price | $111.60 | $114.56 |
| Analyst Decision | Hold | Buy |
| Analyst Count | 14 | 33 |
| Target Price | $107.50 | ★ $176.91 |
| AVG Volume (30 Days) | 1.8M | ★ 3.7M |
| Earning Date | 04-30-2026 | 05-05-2026 |
| Dividend Yield | ★ 3.18% | N/A |
| EPS Growth | ★ 7.63 | N/A |
| EPS | ★ 5.64 | 0.31 |
| Revenue | ★ $16,918,000,000.00 | $3,427,158,000.00 |
| Revenue This Year | $9.18 | $22.58 |
| Revenue Next Year | $4.49 | $19.45 |
| P/E Ratio | ★ $19.75 | $400.81 |
| Revenue Growth | 10.89 | ★ 27.68 |
| 52 Week Low | $94.96 | $86.57 |
| 52 Week High | $116.23 | $201.69 |
| Indicator | ED | DDOG |
|---|---|---|
| Relative Strength Index (RSI) | 51.28 | 39.88 |
| Support Level | $109.89 | $105.80 |
| Resistance Level | $115.08 | $145.19 |
| Average True Range (ATR) | 1.94 | 5.60 |
| MACD | -0.45 | -0.84 |
| Stochastic Oscillator | 37.10 | 3.53 |
Con Ed is a holding company for Consolidated Edison of New York, or CECONY, and Orange & Rockland, or O&R. These utilities provide steam, natural gas, and electricity to customers in southeastern New York—including New York City—and small parts of New Jersey. The two utilities generate nearly all of Con Ed's earnings following the sale of its clean energy business to RWE in early 2023.
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.