Mongodb Stock Analysis
| MDB Stock | USD 411.89 0.64 0.16% |
MongoDB holds a debt-to-equity ratio of 1.855. With a high degree of financial leverage come high-interest payments, which usually reduce MongoDB's Earnings Per Share (EPS).
Asset vs Debt
Equity vs Debt
MongoDB's liquidity is one of the most fundamental aspects of both its future profitability and its ability to meet different types of ongoing financial obligations. MongoDB's cash, liquid assets, total liabilities, and shareholder equity can be utilized to evaluate how much leverage the Company is using to sustain its current operations. For traders, higher-leverage indicators usually imply a higher risk to shareholders. In addition, it helps MongoDB Stock's retail investors understand whether an upcoming fall or rise in the market will negatively affect MongoDB's stakeholders.
For most companies, including MongoDB, marketable securities, inventories, and receivables are the most common assets that could be converted to cash. However, for MongoDB, the most critical issue when managing liquidity is ensuring that current assets are properly aligned with current liabilities. If they are not, MongoDB's management will need to obtain alternative financing to ensure there are always enough cash equivalents on the balance sheet to meet obligations.
Given that MongoDB's debt-to-equity ratio measures a Company's obligations relative to the value of its net assets, it is usually used by traders to estimate the extent to which MongoDB is acquiring new debt as a mechanism of leveraging its assets. A high debt-to-equity ratio is generally associated with increased risk, implying that it has been aggressive in financing its growth with debt. Another way to look at debt-to-equity ratios is to compare the overall debt load of MongoDB to its assets or equity, showing how much of the company assets belong to shareholders vs. creditors. If shareholders own more assets, MongoDB is said to be less leveraged. If creditors hold a majority of MongoDB's assets, the Company is said to be highly leveraged.
MongoDB is overvalued with Real Value of 345.99 and Hype Value of 411.89. 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.
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in MongoDB. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in small area income & poverty estimates. MongoDB Stock Analysis Notes
About 95.0% 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 0.84. 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 Chirantan Desai 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 had very high historical volatility over the last 90 days | |
| 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 1.66 B. | |
| Over 95.0% of the company shares are owned by institutional investors | |
| Latest headline from fool.com.au: Insider Trading |
MongoDB Market Capitalization
The company currently falls under 'Large-Cap' category with a total capitalization of 32.45 B.MongoDB Profitablity
The company has Net Profit Margin of (0.03) %, 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 27th of January, MongoDB secures the Downside Deviation of 2.6, risk adjusted performance of 0.0807, and Mean Deviation of 2.45. 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 twenty-three with a total number of output elements of thirty-eight. The Moving Average is predictive technique used to analyze MongoDB price data points by creating a series of averages of different subsets of MongoDB entire price series.
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.
| Accumulation Distribution | 22015.14 | |||
| Daily Balance Of Power | 0.0482 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 416.85 | |||
| Day Typical Price | 415.19 | |||
| Price Action Indicator | (4.64) | |||
| Period Momentum Indicator | 0.64 | |||
| Relative Strength Index | 53.37 |
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.MongoDB Debt to Cash Allocation
As MongoDB follows its natural business cycle, the capital allocation decisions will not magically go away. MongoDB's decision-makers have to determine if most of the cash flows will be poured back into or reinvested in the business, reserved for other projects beyond operational needs, or paid back to stakeholders and investors.
MongoDB has 36.5 M in debt with debt to equity (D/E) ratio of 1.86, which is OK given its current industry classification. MongoDB has a current ratio of 3.94, demonstrating that it is liquid and is capable to disburse its financial commitments when the payables are due. Note however, debt could still be an excellent tool for MongoDB to invest in growth at high rates of return. MongoDB Assets Financed by Debt
Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the MongoDB's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of MongoDB, which in turn will lower the firm's financial flexibility.MongoDB Corporate Bonds Issued
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.
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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As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding MongoDB to your portfolios without increasing risk or reducing expected return.Did you try this?
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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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