Compare PETS & GOCO Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | PETS | GOCO |
|---|---|---|
| Founded | 1996 | 2001 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Retail-Drug Stores and Proprietary Stores | Specialty Insurers |
| Sector | Consumer Staples | Finance |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 61.6M | 38.3M |
| IPO Year | 2003 | 2020 |
| Metric | PETS | GOCO |
|---|---|---|
| Price | $2.44 | $1.65 |
| Analyst Decision | Sell | Hold |
| Analyst Count | 1 | 2 |
| Target Price | $3.20 | ★ $5.00 |
| AVG Volume (30 Days) | ★ 95.0K | 76.8K |
| Earning Date | 01-01-0001 | 01-01-0001 |
| Dividend Yield | N/A | N/A |
| EPS Growth | 18.92 | ★ 90.82 |
| EPS | ★ N/A | N/A |
| Revenue | $273,800,000.00 | ★ $798,894,000.00 |
| Revenue This Year | N/A | N/A |
| Revenue Next Year | $2.98 | N/A |
| P/E Ratio | ★ N/A | N/A |
| Revenue Growth | N/A | ★ 8.74 |
| 52 Week Low | $1.57 | $1.31 |
| 52 Week High | $4.32 | $14.14 |
| Indicator | PETS | GOCO |
|---|---|---|
| Relative Strength Index (RSI) | 27.80 | 44.70 |
| Support Level | $2.44 | N/A |
| Resistance Level | $2.93 | $2.56 |
| Average True Range (ATR) | 0.11 | 0.18 |
| MACD | -0.02 | 0.03 |
| Stochastic Oscillator | 20.20 | 26.81 |
PetMed Express Inc along with its subsidiaries is a nationwide pet pharmacy. The company markets prescription and non-prescription pet medications, health products, and supplies for dogs and cats, direct to the consumer. The company generates its revenue by selling pet medications and pet supplies mainly to retail consumers.
GoHealth Inc is a health insurance marketplace and Medicare-focused digital health company whose purpose is to compassionately ensure consumers' peace of mind when making healthcare decisions so consumers can focus on living life. It offers Medicare plans, including, but not limited to, Medicare Advantage, Medicare Supplement and prescription drug plans. Its proprietary technology platform leverages modern machine-learning algorithms, powered by over two decades of insurance purchasing behavior, to reimagine the process of matching a health plan to a consumer's specific needs.