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Period:
Draw Mode:
| Volume | 182,795 |
|
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| News | - | ||||||
| Day High | 18.97 | Low High |
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| Day Low | 18.12 | ||||||
| Company Name | Stock Ticker Symbol | Market | Type |
|---|---|---|---|
| EverQuote Inc | EVER | NASDAQ | Common Stock |
| Price Change | Change Percent | Stock Price | Last Traded
|
|
|---|---|---|---|---|
| 0.11 | 0.61% | 18.23 | 15:16:57 |
| Open Price | Low Price | High Price | Close Price | Prev Close |
|---|---|---|---|---|
| 18.23 | 18.12 | 18.97 | 18.12 |
| Trades | Volume | VWAP | Dollar Volume | Avg Volume | 52 Week Range |
|---|---|---|---|---|---|
| 4,563 | 182,795 | $ 18.39 | $ 3,362,410 | - | 5.36 - 20.74 |
| Last Trade Time | Type | Quantity | Stock Price | Currency |
|---|---|---|---|---|
| 15:19:03 | 4 | $ 18.211 | USD |
EverQuote Inc Financials
| Market Cap | Shares in Issue | Float | Revenue | Profit/Loss | EPS | PE Ratio |
|---|---|---|---|---|---|---|
| 621.27M | 34.23M | - | 287.92M | -51.29M | -1.50 | - |
| Short Interest | Dividends Per Share | Dividend Yield | Ex-Div Date | Insider B/S | Insider % Owned |
|---|---|---|---|---|---|
| - | - | - | - |
EverQuote News
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Historical EVER Price Data
| Period | Open | High | Low | VWAP | Avg. Daily Vol | Change | % |
|---|---|---|---|---|---|---|---|
| 1 Week | 19.21 | 20.74 | 17.92 | 19.03 | 562,901 | -0.98 | -5.10% |
| 1 Month | 18.13 | 20.74 | 17.77 | 18.87 | 397,563 | 0.10 | 0.55% |
| 3 Months | 13.27 | 20.74 | 12.48 | 17.09 | 418,563 | 4.96 | 37.38% |
| 6 Months | 7.78 | 20.74 | 6.64 | 13.63 | 365,269 | 10.45 | 134.32% |
| 1 Year | 7.92 | 20.74 | 5.36 | 10.35 | 367,585 | 10.31 | 130.18% |
| 3 Years | 35.32 | 36.38 | 5.23 | 13.81 | 332,529 | -17.09 | -48.39% |
| 5 Years | 8.49 | 63.44 | 5.23 | 23.47 | 345,449 | 9.74 | 114.72% |
EverQuote Description
| EverQuote Inc is engaged in the business activity of offering an online marketplace for insurance shopping. The online marketplace offers consumers to find the relevant insurance quotes based for car insurance, home insurance, and life insurance. The platform of the company is driven by data science. The firm's data and technology platform match and connects consumers seeking to purchase insurance with relevant options from its broad direct network of insurance providers. It derives a majority of revenue from Direct channels. |
