MongoDB (Germany) Analysis

MongoDB Stock Analysis Notes

About 92.0% of the company shares are owned by institutions such as pension funds. The company recorded a loss per share of 4.96. MongoDB had not issued any dividends in recent years. MongoDB, Inc. provides general purpose database platform worldwide. MongoDB, Inc. was incorporated in 2007 and is headquartered in New York, New York. MONGODB INC operates under SoftwareInfrastructure classification in Germany and is traded on Frankfurt Stock Exchange. It employs 2934 people. For more info on MongoDB please contact Dev Ittycheria at 646 727 4092 or go to https://www.mongodb.com.

MongoDB Investment Alerts

MongoDB Market Capitalization

The company currently falls under 'Large-Cap' category with a current market capitalization of 13.72 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate MongoDB's market, we take the total number of its shares issued and multiply it by MongoDB's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

MongoDB Profitablity

The company has Profit Margin (PM) of (0.31) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.3) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.3.

Technical Drivers

As of the 29th of November, MongoDB secures the Downside Deviation of 2.27, risk adjusted performance of 0.1224, and Mean Deviation of 2.52. MongoDB technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify MongoDB downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if MongoDB is priced some-what accurately, providing market reflects its recent price of 304.55 per share.

MongoDB Price Movement Analysis

MongoDB Outstanding Bonds

MongoDB Predictive Daily Indicators

MongoDB Forecast Models

MongoDB's time-series forecasting models are one of many MongoDB's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary MongoDB's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how MongoDB prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling MongoDB shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as MongoDB. By using and applying MongoDB Stock analysis, traders can create a robust methodology for identifying MongoDB entry and exit points for their positions.

When running MongoDB's price analysis, check to measure MongoDB'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 MongoDB is operating at the current time. Most of MongoDB's value examination focuses on studying past and present price action to predict the probability of MongoDB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MongoDB's price. Additionally, you may evaluate how the addition of MongoDB to your portfolios can decrease your overall portfolio volatility.