Mongodb Stock Analysis
MDB Stock | USD 188.68 4.37 2.26% |
MongoDB is undervalued with Real Value of 227.66 and Hype Value of 186.58. The main objective of MongoDB stock analysis is to determine its intrinsic value, which is an estimate of what MongoDB is worth, separate from its market price. There are two main types of MongoDB's stock analysis: fundamental analysis and technical analysis.
The MongoDB stock is traded in the USA on NASDAQ Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and MongoDB's ongoing operational relationships across important fundamental and technical indicators.
MongoDB |
MongoDB Stock Analysis Notes
About 87.0% of the company shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 1.67. MongoDB recorded a loss per share of 1.72. The entity 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 the United States and is traded on NASDAQ Exchange. It employs 4240 people. To find out more about MongoDB contact Dev Ittycheria at 646 727 4092 or learn more at https://www.mongodb.com.MongoDB Investment Alerts
Many investors view ongoing market volatility as an opportunity to purchase more stocks at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. MongoDB's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding MongoDB or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
MongoDB generated a negative expected return over the last 90 days | |
MongoDB has high historical volatility and very poor performance | |
The company reported the last year's revenue of 2.01 B. Reported Net Loss for the year was (129.07 M) with profit before taxes, overhead, and interest of 1.47 B. | |
MongoDB has a poor financial position based on the latest SEC disclosures | |
Over 87.0% of the company shares are owned by institutional investors |
MongoDB Upcoming and Recent Events
Every quarterly earnings report provides investors with three things: an overview of sales, expenses, and net income for the most recent period. It also may provide a comparison to MongoDB previous reporting period. The quarterly earnings reports are usually disseminated to the public via Form 10-Q, which is a legal document filed with the Securities and Exchange Commission every quarter.
13th of March 2024 Upcoming Quarterly Report | View | |
6th of June 2024 Next Financial Report | View | |
31st of January 2024 Next Fiscal Quarter End | View | |
13th of March 2024 Next Fiscal Year End | View | |
31st of October 2023 Last Quarter Report | View | |
31st of January 2023 Last Financial Announcement | View |
MongoDB Market Capitalization
The company currently falls under 'Large-Cap' category with a total capitalization of 15.53 B.MongoDB Profitablity
The company has Net Profit Margin of (0.06) %, which means that it does not effectively control expenditures or properly executes on its pricing strategies. This is way below average. In the same way, it shows Net Operating Margin of (0.03) %, which entails that for every $100 of revenue, it lost $0.03.Technical Drivers
As of the 19th of March, MongoDB secures the Risk Adjusted Performance of (0.06), standard deviation of 4.45, and Mean Deviation of 2.53. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of MongoDB, as well as the relationship between them.MongoDB Price Movement Analysis
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. MongoDB middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for MongoDB. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
MongoDB Insider Trading Activities
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific MongoDB insiders, such as employees or executives, is commonly permitted as long as it does not rely on MongoDB's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases MongoDB insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
MongoDB Outstanding Bonds
MongoDB issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. MongoDB uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most MongoDB bonds can be classified according to their maturity, which is the date when MongoDB has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
MongoDB Predictive Daily Indicators
MongoDB intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of MongoDB stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
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.About MongoDB Stock Analysis
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.
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 the United States and is traded on NASDAQ Exchange. It employs 4240 people.
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Complementary Tools for MongoDB Stock analysis
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.
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