Mongodb Stock Gross Profit
| MDB Stock | USD 369.29 0.00 0.00% |
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.
| Last Reported | Projected for Next Year | ||
| Gross Profit | 1.3 B | 1.3 B | |
| Gross Profit Margin | 0.75 | 0.57 |
MongoDB | Gross Profit |
MongoDB Company Gross Profit Analysis
MongoDB's Gross Profit is the most basic measure of business operational efficiency. It is simply the difference between sales revenue and the cost associated with making a product or providing a service. It is calculated before deducting administrative expenses, taxes, and interest payments.
Current MongoDB Gross Profit | 934.74 M |
Most of MongoDB's fundamental indicators, such as Gross Profit, 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 Gross Profit 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 Gross Profit. 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.
Click cells to compare fundamentals
MongoDB Gross Profit Historical Pattern
Today, most investors in MongoDB Stock are looking for potential investment opportunities by analyzing not only static indicators but also various MongoDB's growth ratios. Consistent increases or drops in fundamental ratios usually indicate a possible pattern that can be successfully translated into profits. However, when comparing two companies, knowing each company's gross profit growth rates may not be enough to decide which company is a better investment. That's why investors frequently use a static breakdown of MongoDB gross profit as a starting point in their analysis.
MongoDB Gross Profit |
| Timeline |
Gross Profit varies significantly from one sector to another and tells an investor how much money a business would have made if it didn't have to pay any overhead expenses such as salary, taxes, or rent.
| Competition |
According to the company disclosure, MongoDB reported 934.74 M of gross profit. This is 99.05% lower than that of the IT Services sector and significantly higher than that of the Information Technology industry. The gross profit for all United States stocks is 96.59% higher than that of the company.
MongoDB Gross Profit 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 Gross Profit 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 gross profit 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 | 23.99 B | |||
| Shares Outstanding | 72.83 M | |||
| Shares Owned By Insiders | 3.39 % | |||
| Shares Owned By Institutions | 92.75 % | |||
| Number Of Shares Shorted | 3.76 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 | 2.23 X | |||
| Earnings Per Share | (2.48) X | |||
| Price To Earnings To Growth | 1.67 X | |||
| Target Price | 449.2 | |||
| Number Of Employees | 5.04 K | |||
| Beta | 1.21 | |||
| Market Capitalization | 26.68 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.
MongoDB Investors Sentiment
The influence of MongoDB's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in MongoDB. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to MongoDB's public news can be used to forecast risks associated with an investment in MongoDB. The trend in average sentiment can be used to explain how an investor holding MongoDB can time the market purely based on public headlines and social activities around MongoDB. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
MongoDB's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for MongoDB's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average MongoDB's news discussions. The higher the estimated score, the more favorable is the investor's outlook on MongoDB.
MongoDB Implied Volatility | 84.92 |
MongoDB's implied volatility exposes the market's sentiment of MongoDB stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if MongoDB's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that MongoDB stock will not fluctuate a lot when MongoDB's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards MongoDB in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, MongoDB's short interest history, or implied volatility extrapolated from MongoDB options trading.
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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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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 (2.48) | 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.