Michael Gordon - MongoDB COO CFO
| MDB Stock | USD 335.55 7.20 2.10% |
COO
Mr. Michael Gordon is Chief Financial Officer, Chief Operating Officer of the Company. Michael brought more than 20 years of financial management and business experience to his role as CFO of MongoDB. Michael has a strong background in finance, strategy and business operations and a track record of helping high growth companies scale successfully. Previously, he was the Chief Operating Officer and Chief Financial Officer at Yodle, where he was responsible for the strategic and operational management of all aspects of finance and business operations, business development, reseller programs, corporate development and legal affairs. Prior to Yodle, Michael was a Managing Director in the Media and Telecom investment banking group at Merrill Lynch, where he helped raise over 20 billion in capital for clients, including many initial public offerings, and advised clients on over 50 billion in mergers and acquisitions transactions. Prior to Merrill Lynch, Michael worked in brand management at Procter Gamble. He is on the Board of Directors of Share Our Strength, one of the nation leading antihunger organizations, and is an advisorboard member to entrepreneurial and high growth companies. Michael received an A.B. from Harvard College and an M.B.A. from Harvard Business School. since 2018.
| Age | 54 |
| Tenure | 6 years |
| Professional Marks | MBA |
| Address | 1633 Broadway, New York, NY, United States, 10019 |
| Phone | 646 727 4092 |
| Web | https://www.mongodb.com |
MongoDB Management Efficiency
The company has Return on Asset of (0.0535) % which means that on every $100 spent on assets, it lost $0.0535. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of (0.1953) %, meaning that it generated no profit with money invested by stockholders. MongoDB's management efficiency ratios could be used to measure how well MongoDB manages its routine affairs as well as how well it operates its assets and liabilities. As of April 19, 2024, Return On Tangible Assets is expected to decline to -0.07. In addition to that, Return On Capital Employed is expected to decline to -0.11. At present, MongoDB's Net Tangible Assets are projected to increase significantly based on the last few years of reporting. The current year's Non Current Assets Total is expected to grow to about 502.4 M, whereas Total Assets are forecasted to decline to about 1.5 B.Similar Executives
| Found 1 records | COO Age | ||
| William Welch | Zscaler | 49 | |
Management Performance
| Return On Equity | -0.2 | ||||
| Return On Asset | -0.0535 |
MongoDB Leadership Team
Elected by the shareholders, the MongoDB's board of directors comprises two types of representatives: MongoDB inside directors who are chosen from within the company, and outside directors, selected externally and held independent of MongoDB. The board's role is to monitor MongoDB's management team and ensure that shareholders' interests are well served. MongoDB's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, MongoDB's outside directors are responsible for providing unbiased perspectives on the board's policies.
| Andrew Stephens, General Secretary | ||
| Dwight Merriman, CoFounder Director | ||
| Mindy Lieberman, Chief Officer | ||
| Cedric Pech, Chief Officer | ||
| Harsha Jalihal, Chief Officer | ||
| Kevin Ryan, Chairman of the Board, Co-Founder | ||
| Michael Gordon, COO CFO | ||
| Mark Porter, Chief Officer | ||
| Jim Scharf, Chief Officer | ||
| Peder Ulander, Chief Officer | ||
| Ronnen Miller, Executive Services | ||
| Eliot Horowitz, Co-Founder, CTO, Director | ||
| Carlos Delatorre, Chief Revenue Officer | ||
| Dev Ittycheria, President CEO, Director | ||
| Lena Smart, Chief Officer |
MongoDB Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is MongoDB a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
| Return On Equity | -0.2 | ||||
| Return On Asset | -0.0535 | ||||
| Profit Margin | (0.10) % | ||||
| Operating Margin | (0.15) % | ||||
| Current Valuation | 23.65 B | ||||
| Shares Outstanding | 72.83 M | ||||
| Shares Owned By Insiders | 3.39 % | ||||
| Shares Owned By Institutions | 92.86 % | ||||
| Number Of Shares Shorted | 3.76 M | ||||
| Price To Earning | (15.88) X |
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 | 66.31 |
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 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 tightly coupled with the direction of predictive economic indicators such as signals in unemployment. 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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 (2.47) | 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.