Mongodb Stock Target Price
| MDB Stock | USD 340.16 12.69 3.88% |
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 | Target Price |
MongoDB Target Price 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 Target Price 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 target price 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 | 23.06 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 | (2.49) X | ||||
| Price To Earnings To Growth | 1.67 X | ||||
| Target Price | 449.2 | ||||
| Number Of Employees | 5.04 K | ||||
| Beta | 1.21 | ||||
| Market Capitalization | 24.77 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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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.
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data |
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 (2.49) | 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.