Compare UBER & SLNH Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
| Metric | UBER | SLNH |
|---|---|---|
| Founded | 2009 | 1961 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Business Services | EDP Services |
| Sector | Consumer Discretionary | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 195.5B | 174.8M |
| IPO Year | 2019 | N/A |
| Metric | UBER | SLNH |
|---|---|---|
| Price | $80.62 | $1.43 |
| Analyst Decision | Strong Buy | Strong Buy |
| Analyst Count | 35 | 1 |
| Target Price | ★ $108.94 | $5.00 |
| AVG Volume (30 Days) | ★ 20.7M | 5.0M |
| Earning Date | 02-04-2026 | 11-17-2025 |
| Dividend Yield | N/A | N/A |
| EPS Growth | ★ 286.11 | N/A |
| EPS | ★ 7.80 | N/A |
| Revenue | ★ $49,610,000,000.00 | $28,782,000.00 |
| Revenue This Year | $20.62 | N/A |
| Revenue Next Year | $15.85 | $42.68 |
| P/E Ratio | $10.92 | ★ N/A |
| Revenue Growth | ★ 18.25 | N/A |
| 52 Week Low | $59.33 | $0.36 |
| 52 Week High | $101.99 | $5.14 |
| Indicator | UBER | SLNH |
|---|---|---|
| Relative Strength Index (RSI) | 32.40 | 39.63 |
| Support Level | $82.72 | $1.78 |
| Resistance Level | $86.45 | $2.29 |
| Average True Range (ATR) | 2.50 | 0.26 |
| MACD | -0.55 | 0.02 |
| Stochastic Oscillator | 3.00 | 11.73 |
Uber Technologies is a technology provider that matches riders with drivers, hungry people with restaurants and food couriers, and shippers with carriers. The firm's on-demand technology platform is currently utilized by traditional cars as well as autonomous vehicles, but could eventually be used for additional products and services, such as delivery via drones or electronic vehicle take-off and landing (eVTOL) technology. Uber operates in over 70 countries, with over 180 million users who order rides or food at least once a month.
Soluna Holdings Inc is a U.S.-based company that conducts operations through its subsidiary. The group is engaged in the mining of cryptocurrency through data centers that can be powered by renewable energy sources. The data centers buy every excess megawatt to use for batch-oriented, computing-intensive processes such as cryptocurrency mining or machine learning which is a low-risk and low-friction solution to use as a smartphone.