Mongodb Stock Number Of Shares Shorted
| MDB Stock | USD 362.85 0.32 0.09% |
MongoDB fundamentals help investors to digest information that contributes to MongoDB's financial success or failures. It also enables traders to predict the movement of MongoDB Stock. The fundamental analysis module provides a way to measure MongoDB's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to MongoDB stock.
MongoDB | Number Of Shares Shorted |
MongoDB Company Number Of Shares Shorted Analysis
MongoDB's Number of Shares Shorted is the total amount of shares that are currently sold short by investors. When a stock is sold short, the short seller assumes the responsibility of repurchasing the stock at a lower price. The speculator will make money if the stock goes down in price or will experience a loss if the stock price goes up.
More About Number Of Shares Shorted | All Equity Analysis
Shares Shorted | = | Shorted by Public | + | by Institutions |
Current MongoDB Number Of Shares Shorted | 3.95 M |
Most of MongoDB's fundamental indicators, such as Number Of Shares Shorted, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, MongoDB is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
MongoDB Number Of Shares Shorted Driver Correlations
Understanding the fundamental principles of building solid financial models for MongoDB is extremely important. It helps to project a fair market value of MongoDB Stock properly, considering its historical fundamentals such as Number Of Shares Shorted. Since MongoDB's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of MongoDB's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of MongoDB's interrelated accounts and indicators.
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If a large number of investors decide to short sell an equity instrument within a small period of time, their combined action can significantly affect the price of the stock.
| Competition |
Based on the recorded statements, MongoDB has 3.95 M of outstending shares currently sold short by investors. This indicator is about the same for the IT Services average (which is currently at 4 M) sector and significantly higher than that of the Information Technology industry. The number of shares shorted for all United States stocks is 15.99% higher than that of the company.
MongoDB Number Of Shares Shorted Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses MongoDB's direct or indirect competition against its Number Of Shares Shorted to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of MongoDB could also be used in its relative valuation, which is a method of valuing MongoDB by comparing valuation metrics of similar companies.MongoDB is currently under evaluation in number of shares shorted category among related companies.
MongoDB Current Valuation Drivers
We derive many important indicators used in calculating different scores of MongoDB from analyzing MongoDB's financial statements. These drivers represent accounts that assess MongoDB's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of MongoDB's important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 9.2B | 22.1B | 26.2B | 14.7B | 28.5B | 30.0B | |
| Enterprise Value | 9.4B | 22.7B | 26.9B | 15.4B | 29.0B | 30.4B |
MongoDB Fundamentals
| Return On Equity | -0.2 | ||||
| Return On Asset | -0.0535 | ||||
| Profit Margin | (0.10) % | ||||
| Operating Margin | (0.15) % | ||||
| Current Valuation | 25.64 B | ||||
| Shares Outstanding | 72.83 M | ||||
| Shares Owned By Insiders | 3.38 % | ||||
| Shares Owned By Institutions | 93.59 % | ||||
| Number Of Shares Shorted | 3.95 M | ||||
| Price To Earning | (15.88) X | ||||
| Price To Book | 23.99 X | ||||
| Price To Sales | 15.24 X | ||||
| Revenue | 1.68 B | ||||
| Gross Profit | 934.74 M | ||||
| EBITDA | (233.73 M) | ||||
| Net Income | (176.6 M) | ||||
| Cash And Equivalents | 1.8 B | ||||
| Cash Per Share | 26.13 X | ||||
| Total Debt | 1.23 B | ||||
| Debt To Equity | 1.85 % | ||||
| Current Ratio | 4.02 X | ||||
| Book Value Per Share | 14.70 X | ||||
| Cash Flow From Operations | 121.48 M | ||||
| Short Ratio | 3.40 X | ||||
| Earnings Per Share | (2.47) X | ||||
| Price To Earnings To Growth | 1.67 X | ||||
| Target Price | 448.06 | ||||
| Number Of Employees | 5.04 K | ||||
| Beta | 1.21 | ||||
| Market Capitalization | 26.45 B | ||||
| Total Asset | 2.87 B | ||||
| Retained Earnings | (1.71 B) | ||||
| Working Capital | 1.92 B | ||||
| Current Asset | 273.99 M | ||||
| Current Liabilities | 127.61 M | ||||
| Net Asset | 2.87 B |
About MongoDB Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze MongoDB's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of MongoDB using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of MongoDB based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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Try AI Portfolio ArchitectCheck out MongoDB Piotroski F Score and MongoDB Altman Z Score analysis. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.Note that the MongoDB information on this page should be used as a complementary analysis to other MongoDB's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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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| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |
Is MongoDB's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of MongoDB. If investors know MongoDB will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about MongoDB listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (2.47) | Revenue Per Share 23.622 | Quarterly Revenue Growth 0.268 | Return On Assets (0.05) | Return On Equity (0.20) |
The market value of MongoDB is measured differently than its book value, which is the value of MongoDB that is recorded on the company's balance sheet. Investors also form their own opinion of MongoDB's value that differs from its market value or its book value, called intrinsic value, which is MongoDB's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because MongoDB's market value can be influenced by many factors that don't directly affect MongoDB's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between MongoDB's value and its price as these two are different measures arrived at by different means. Investors typically determine if MongoDB is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MongoDB's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.