Compare DEO & DDOG Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
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| Metric | DEO | DDOG |
|---|---|---|
| Founded | 1886 | 2010 |
| Country | United Kingdom | United States |
| Employees | 29860 | N/A |
| Industry | Beverages (Production/Distribution) | Computer Software: Prepackaged Software |
| Sector | Consumer Staples | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 41.4B | 44.0B |
| IPO Year | N/A | 2019 |
| Metric | DEO | DDOG |
|---|---|---|
| Price | $74.92 | $116.32 |
| Analyst Decision | Buy | Buy |
| Analyst Count | 2 | 32 |
| Target Price | $109.00 | ★ $178.74 |
| AVG Volume (30 Days) | 1.7M | ★ 3.5M |
| Earning Date | 02-25-2026 | 05-05-2026 |
| Dividend Yield | ★ 4.42% | N/A |
| EPS Growth | ★ N/A | N/A |
| EPS | N/A | ★ 0.31 |
| Revenue | N/A | ★ $3,427,158,000.00 |
| Revenue This Year | $2.67 | $22.58 |
| Revenue Next Year | $0.07 | $19.42 |
| P/E Ratio | ★ $90.04 | $388.26 |
| Revenue Growth | N/A | ★ 27.68 |
| 52 Week Low | $72.45 | $87.70 |
| 52 Week High | $116.69 | $201.69 |
| Indicator | DEO | DDOG |
|---|---|---|
| Relative Strength Index (RSI) | 38.85 | 43.84 |
| Support Level | $72.45 | $114.24 |
| Resistance Level | $98.62 | $145.19 |
| Average True Range (ATR) | 1.37 | 6.08 |
| MACD | 0.57 | -0.91 |
| Stochastic Oscillator | 50.80 | 19.01 |
Formed in 1997 through the merger of Grand Metropolitan and Guinness, Diageo is the largest distiller globally by sales. Diageo acquired some of the Seagram assets in 2001, which gave it brands such as Captain Morgan rum and Crown Royal Canadian whisky. Since then, mergers and acquisitions have mostly been bolt-on in nature, plugging gaps in the company's product and geographic portfolio.
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.