# MongoDB Probability Of Bankruptcy

MDB Stock | USD 387.62 0.95 0.24% |

MongoDB | Probability Of Bankruptcy |

**B**, whereas Net Income Per Employee is forecasted to decline to (80.7

**K**).

## MongoDB Probability Of Bankruptcy Analysis

MongoDB's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.

More About Probability Of Bankruptcy | All Equity Analysis

2020 | 2021 | 2022 | 2023 (projected) | |

Interest Expense | 56.11 M | 11.32 M | 9.8 M | 13.01 M |

Gross Profit | 413.3 M | 614.29 M | 934.74 M | 1.01 B |

Probability Of Bankruptcy | = | Normalized | | Z-Score |

## Current MongoDB Probability Of Bankruptcy | Less than 1% |

Most of MongoDB's fundamental indicators, such as Probability Of Bankruptcy, 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.

Our calculation of MongoDB probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting MongoDB odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of MongoDB financial health.

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(6.43) | Revenue Per Share18.71 | Quarterly Revenue Growth0.356 | Return On Assets(0.09) | Return On Equity(0.49) |

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.

## MongoDB Probability Of Bankruptcy 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 Probability Of Bankruptcy. 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

The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.

Competition |

Based on the latest financial disclosure, MongoDB has a Probability Of Bankruptcy of 1.0%. This is 97.53% lower than that of the IT Services sector and significantly higher than that of the Information Technology industry. The probability of bankruptcy for all United States stocks is 97.49% higher than that of the company.

## MongoDB Probability Of Bankruptcy 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 Probability Of Bankruptcy 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 probability of bankruptcy category among related companies.

## MongoDB Main Bankruptcy Drivers

2018 | 2019 | 2020 | 2021 | 2022 | 2023 (projected) | ||

Total Liabilities | 468.91 M | 1.25 B | 1.41 B | 1.78 B | 1.85 B | 1.49 B | |

Current Liabilities | 164.64 M | 242.38 M | 354.54 M | 526.74 M | 588.51 M | 467.86 M | |

Total Assets | 733.48 M | 1.33 B | 1.41 B | 2.45 B | 2.59 B | 2.79 B | |

Current Assets | 566.24 M | 1.11 B | 1.14 B | 2.12 B | 2.24 B | 2.41 B | |

Net Cash Flow from Operations | (41.99 M) | (29.54 M) | (42.67 M) | 6.98 M | (12.97 M) | (13.99 M) | |

Weighted Average Shares | 52.03 M | 55.94 M | 58.98 M | 64.56 M | 68.63 M | 61.26 M | |

Weighted Average Shares Diluted | 52.03 M | 55.94 M | 58.98 M | 64.56 M | 68.63 M | 61.26 M |

## MongoDB Fundamentals

Return On Equity | (0.49) % | |||

Return On Asset | (0.09) % | |||

Current Valuation | 13.47 B | |||

Shares Outstanding | 70.53 M | |||

Shares Owned by Insiders | 3.50 % | |||

Shares Owned by Institutions | 92.91 % | |||

Number of Shares Shorted | 3.78 M | |||

Price to Earning | (15.88) X | |||

Price to Book | 20.57 X | |||

Price to Sales | 11.87 X | |||

Revenue | 1.28 B | |||

Gross Profit | 934.74 M | |||

EBITDA | (317.47 M) | |||

Net Income | (345.4 M) | |||

Cash and Equivalents | 1.8 B | |||

Cash per Share | 26.13 X | |||

Total Debt | 1.14 B | |||

Debt to Equity | 1.85 % | |||

Current Ratio | 4.02 X | |||

Book Value Per Share | 10.58 X | |||

Cash Flow from Operations | (12.97 M) | |||

Short Ratio | 2.48 X | |||

Earnings Per Share | (6.43) X | |||

Target Price | 351.47 | |||

Number of Employees | 4.62 K | |||

Beta | 1.06 | |||

Market Capitalization | 27.41 B | |||

Total Asset | 2.59 B | |||

Retained Earnings | (1.54 B) | |||

Working Capital | 1.65 B | |||

Current Asset | 273.99 M | |||

Current Liabilities | 127.61 M | |||

Z Score | 14.45 | |||

Net Asset | 2.59 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, 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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Check 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

## 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(6.43) | Revenue Per Share18.71 | Quarterly Revenue Growth0.356 | Return On Assets(0.09) | Return On Equity(0.49) |

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.