Enterprise Financial Services Stock Technical Analysis
| EFSC Stock | USD 60.98 0.19 0.31% |
As of the 17th of February 2026, Enterprise Financial shows the Downside Deviation of 1.25, mean deviation of 1.14, and Coefficient Of Variation of 704.73. Enterprise Financial technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Enterprise Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Enterprise, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EnterpriseEnterprise | Build AI portfolio with Enterprise Stock |
Enterprise Financial Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 66.0 | Strong Buy | 4 | Odds |
Most Enterprise analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Enterprise stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Enterprise Financial, talking to its executives and customers, or listening to Enterprise conference calls.
Will Regional Banks sector continue expanding? Could Enterprise diversify its offerings? Factors like these will boost the valuation of Enterprise Financial. Projected growth potential of Enterprise fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Enterprise Financial data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 0.136 | Dividend Share 1.22 | Earnings Share 5.31 | Revenue Per Share | Quarterly Revenue Growth 0.175 |
Investors evaluate Enterprise Financial using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Enterprise Financial's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Enterprise Financial's market price to deviate significantly from intrinsic value.
It's important to distinguish between Enterprise Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Enterprise Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Enterprise Financial's market price signifies the transaction level at which participants voluntarily complete trades.
Enterprise Financial 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Enterprise Financial's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Enterprise Financial.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Enterprise Financial on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Enterprise Financial Services or generate 0.0% return on investment in Enterprise Financial over 90 days. Enterprise Financial Services Corp operates as the financial holding company for Enterprise Bank Trust that offers banki... More
Enterprise Financial Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Enterprise Financial's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Enterprise Financial Services upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | 0.0956 | |||
| Maximum Drawdown | 9.13 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 2.79 |
Enterprise Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Enterprise Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Enterprise Financial's standard deviation. In reality, there are many statistical measures that can use Enterprise Financial historical prices to predict the future Enterprise Financial's volatility.| Risk Adjusted Performance | 0.1192 | |||
| Jensen Alpha | 0.1592 | |||
| Total Risk Alpha | 0.0921 | |||
| Sortino Ratio | 0.1158 | |||
| Treynor Ratio | 0.2719 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Enterprise Financial's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Enterprise Financial February 17, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1192 | |||
| Market Risk Adjusted Performance | 0.2819 | |||
| Mean Deviation | 1.14 | |||
| Semi Deviation | 1.01 | |||
| Downside Deviation | 1.25 | |||
| Coefficient Of Variation | 704.73 | |||
| Standard Deviation | 1.51 | |||
| Variance | 2.28 | |||
| Information Ratio | 0.0956 | |||
| Jensen Alpha | 0.1592 | |||
| Total Risk Alpha | 0.0921 | |||
| Sortino Ratio | 0.1158 | |||
| Treynor Ratio | 0.2719 | |||
| Maximum Drawdown | 9.13 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 2.79 | |||
| Downside Variance | 1.55 | |||
| Semi Variance | 1.02 | |||
| Expected Short fall | (1.33) | |||
| Skewness | 0.5011 | |||
| Kurtosis | 1.48 |
Enterprise Financial Backtested Returns
Enterprise Financial appears to be very steady, given 3 months investment horizon. Enterprise Financial secures Sharpe Ratio (or Efficiency) of 0.17, which denotes the company had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Enterprise Financial Services, which you can use to evaluate the volatility of the firm. Please utilize Enterprise Financial's Mean Deviation of 1.14, coefficient of variation of 704.73, and Downside Deviation of 1.25 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Enterprise Financial holds a performance score of 13. The firm shows a Beta (market volatility) of 0.75, which means possible diversification benefits within a given portfolio. As returns on the market increase, Enterprise Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Enterprise Financial is expected to be smaller as well. Please check Enterprise Financial's expected short fall, day median price, and the relationship between the potential upside and accumulation distribution , to make a quick decision on whether Enterprise Financial's price patterns will revert.
Auto-correlation | 0.23 |
Weak predictability
Enterprise Financial Services has weak predictability. Overlapping area represents the amount of predictability between Enterprise Financial time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Enterprise Financial price movement. The serial correlation of 0.23 indicates that over 23.0% of current Enterprise Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 4.71 |
Enterprise Financial 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.
Enterprise Financial Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Enterprise Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Enterprise Financial Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Enterprise Financial Services on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Enterprise Financial Services based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Enterprise Financial price pattern first instead of the macroeconomic environment surrounding Enterprise Financial. By analyzing Enterprise Financial's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Enterprise Financial's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Enterprise Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2025 | 2026 (projected) | Dividend Yield | 0.0246 | 0.0226 | 0.0237 | Price To Sales Ratio | 2.24 | 2.19 | 2.16 |
Enterprise Financial February 17, 2026 Technical Indicators
Most technical analysis of Enterprise help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Enterprise from various momentum indicators to cycle indicators. When you analyze Enterprise charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1192 | |||
| Market Risk Adjusted Performance | 0.2819 | |||
| Mean Deviation | 1.14 | |||
| Semi Deviation | 1.01 | |||
| Downside Deviation | 1.25 | |||
| Coefficient Of Variation | 704.73 | |||
| Standard Deviation | 1.51 | |||
| Variance | 2.28 | |||
| Information Ratio | 0.0956 | |||
| Jensen Alpha | 0.1592 | |||
| Total Risk Alpha | 0.0921 | |||
| Sortino Ratio | 0.1158 | |||
| Treynor Ratio | 0.2719 | |||
| Maximum Drawdown | 9.13 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 2.79 | |||
| Downside Variance | 1.55 | |||
| Semi Variance | 1.02 | |||
| Expected Short fall | (1.33) | |||
| Skewness | 0.5011 | |||
| Kurtosis | 1.48 |
Enterprise Financial February 17, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Enterprise stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.02 | ||
| Daily Balance Of Power | 0.13 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 60.27 | ||
| Day Typical Price | 60.50 | ||
| Price Action Indicator | 0.81 | ||
| Market Facilitation Index | 1.43 |
Complementary Tools for Enterprise Stock analysis
When running Enterprise Financial's price analysis, check to measure Enterprise Financial'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 Enterprise Financial is operating at the current time. Most of Enterprise Financial's value examination focuses on studying past and present price action to predict the probability of Enterprise Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Enterprise Financial's price. Additionally, you may evaluate how the addition of Enterprise Financial to your portfolios can decrease your overall portfolio volatility.
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