Everest Group Stock Price on July 1, 2025
| EG Stock | 326.04 5.30 1.60% |
If you're considering investing in Everest Stock, it is important to understand the factors that can impact its price. As of today, the current price of Everest stands at 326.04, as last reported on the 5th of August, with the highest price reaching 333.40 and the lowest price hitting 325.21 during the day. Everest Group secures Sharpe Ratio (or Efficiency) of -0.0478, which denotes the company had a -0.0478 % return per unit of risk over the last 3 months. Everest Group exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Everest's Variance of 2.19, mean deviation of 1.07, and Standard Deviation of 1.48 to check the risk estimate we provide. At this time, Everest's Stock Based Compensation is most likely to increase significantly in the upcoming years. The Everest's current Stock Based Compensation To Revenue is estimated to increase to 0, while Other Stockholder Equity is forecasted to increase to (1.4 B). . At this time, Everest's Price To Book Ratio is most likely to increase slightly in the upcoming years. The Everest's current Price Sales Ratio is estimated to increase to 1.33, while Price Earnings To Growth Ratio is forecasted to increase to (0.23). Everest Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Price Book 0.9251 | Price Sales 0.7843 | Shares Float 31.6 M | Dividend Share 8 | Wall Street Target Price 395.1667 |
Everest Main Headline on 1st of July 2025
Acquisition by Levine Allan of tradable shares of Everest at... by gurufocus.com
Filed transaction by Everest Group Director. Grant, award or other acquisition pursuant to Rule 16b-3(d)
Everest Valuation on July 1, 2025
It is possible to determine the worth of Everest on a given historical date. On July 1, 2025 Everest was worth 340.11 at the beginning of the trading date compared to the closed value of 340.87. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Everest stock. Still, in general, we apply an absolute valuation method to find Everest's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Everest where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Everest's related companies.
| Open | High | Low | Close | Volume | |
| 337.04 | 341.11 | 335.00 | 339.85 | 236,861 | |
07/01/2025 | 340.11 | 342.30 | 337.08 | 340.87 | 554,276 |
| 340.95 | 340.95 | 330.19 | 334.03 | 473,274 |
| Backtest Everest | | | Everest History | | | Everest Valuation | Previous | Next |
Everest Trading Date Momentum on July 1, 2025
| On July 02 2025 Everest Group was traded for 334.03 at the closing time. The highest price during the trading period was 340.95 and the lowest recorded bid was listed for 330.19 . The volume for the day was 473.3 K. This history from July 2, 2025 contributed to the next trading day price decline. The overall trading delta to the next closing price was 2.01% . The overall trading delta to the current price is 0.99% . |
Everest Group Fundamentals Correlations and Trends
By evaluating Everest's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Everest's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Everest financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Everest Stock history
Everest investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Everest is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Everest Group will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Everest stock prices may prove useful in developing a viable investing in Everest
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 42.7 M | 39.7 M | |
| Net Income Applicable To Common Shares | 706.1 M | 692.4 M |
Everest Stock Technical Analysis
Everest technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Price Boundaries
Everest Period Price Range
Low | August 5, 2025
| High |
0.00 | 0.00 |
Everest Group cannot be verified against its exchange. Please verify the symbol is currently traded on New York Stock Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Everest August 5, 2025 Market Strength
Market strength indicators help investors to evaluate how Everest stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Everest shares will generate the highest return on investment. By undertsting and applying Everest stock market strength indicators, traders can identify Everest Group entry and exit signals to maximize returns
Everest Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Everest's price direction in advance. Along with the technical and fundamental analysis of Everest Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Everest to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.14) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Complementary Tools for Everest Stock analysis
When running Everest's price analysis, check to measure Everest's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Everest is operating at the current time. Most of Everest's value examination focuses on studying past and present price action to predict the probability of Everest's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Everest's price. Additionally, you may evaluate how the addition of Everest to your portfolios can decrease your overall portfolio volatility.
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| AI Portfolio Prophet Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |