Compare IGC & BIRD Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
| Metric | IGC | BIRD |
|---|---|---|
| Founded | 2005 | 2015 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Biotechnology: Pharmaceutical Preparations | Apparel |
| Sector | Health Care | Consumer Discretionary |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 32.0M | 30.1M |
| IPO Year | 2005 | 2021 |
| Metric | IGC | BIRD |
|---|---|---|
| Price | $0.25 | $2.25 |
| Analyst Decision | | |
| Analyst Count | 0 | 0 |
| Target Price | N/A | N/A |
| AVG Volume (30 Days) | ★ 590.3K | 480.5K |
| Earning Date | 11-05-2026 | 11-05-2026 |
| Dividend Yield | N/A | N/A |
| EPS Growth | ★ 59.09 | 20.22 |
| EPS | ★ N/A | N/A |
| Revenue | $1,271,000.00 | ★ $152,466,000.00 |
| Revenue This Year | N/A | N/A |
| Revenue Next Year | N/A | $487.91 |
| P/E Ratio | ★ N/A | N/A |
| Revenue Growth | ★ N/A | N/A |
| 52 Week Low | $0.24 | $2.15 |
| 52 Week High | $0.45 | $24.31 |
| Indicator | IGC | BIRD |
|---|---|---|
| Relative Strength Index (RSI) | 37.51 | 39.11 |
| Support Level | $0.24 | $2.22 |
| Resistance Level | $0.30 | $2.71 |
| Average True Range (ATR) | 0.01 | 0.17 |
| MACD | -0.00 | -0.06 |
| Stochastic Oscillator | 22.55 | 0.84 |
IGC Pharma Inc develops cannabinoid-based formulations for treating diseases and conditions, including, but not limited to, Alzheimer's disease, period cramps, premenstrual syndrome, and chronic pain. The company has investigational drug assets targeting Alzheimer's disease, IGC-AD1, IGC-M3, IGC-1C, and TGR-63, which have demonstrated in Alzheimer's cell lines the potential to be effective in suppressing or ameliorating key hallmarks of Alzheimer's disease, such as plaques or tangles.
Smartbird Inc delivers dedicated AI infrastructure as a service, giving organizations the performance, control, and security of a private AI cluster without requiring them to finance, operate, or maintain the underlying infrastructure. Smartbird manages the entire lifecycle, from procurement and deployment to operations and hardware refreshes, so customers can focus on AI workloads, not AI infrastructure.