MongoDB Price to Book

MDB Stock  USD 217.40  3.47  1.62%   
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.
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.
The current year Price to Book Value is expected to grow to 21.65.

MongoDB Price to Book Analysis

MongoDB's Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.
 2020 2021 2022 2023 (projected)
Interest Expense56.11 M11.32 M9.8 M13.01 M
Gross Profit413.3 M614.29 M934.74 M1.01 B
MV Per Share 
BV Per Share 
More About Price to Book | All Equity Analysis

Current MongoDB Price to Book

  20.57 X  
Most of MongoDB's fundamental indicators, such as Price to Book, 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 Price to Book 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 Ford stock properly, considering its historical fundamentals such as Price to Book. 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.

MongoDB Price to Book 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 price to book 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 price to book as a starting point in their analysis.
   MongoDB Price to Book   
Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.

MongoDB Book Value per Share

Book Value per Share


MongoDB Book Value per Share is projected to increase significantly based on the last few years of reporting. The past year's Book Value per Share was at 10.78
Based on the latest financial disclosure, the price to book indicator of MongoDB is roughly 20.5726 times. This is 82.54% higher than that of the IT Services sector and significantly higher than that of the Information Technology industry. The price to book for all United States stocks is 116.33% lower than that of the firm.

MongoDB Price to Book 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 Price to Book 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 price to book 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.
201820192020202120222023 (projected)
Net Income Per Employee(81.69 K)(96.81 K)(104.85 K)(86.59 K)(77.93 K)(84.08 K)
Revenue Per Employee220.31 K232.61 K231.89 K246.55 K221.9 K202.01 K
Average Assets617.08 M884.85 M1.36 B2.12 B2.49 B1.97 B
Earnings Before Interest Taxes and Depreciation Amortization EBITDA(86.25 M)(135.42 M)(182.05 M)(267.12 M)(294.27 M)(302.02 M)
Earnings Before Interest Taxes and Depreciation Amortization USD(86.25 M)(135.42 M)(182.05 M)(267.12 M)(294.27 M)(302.02 M)
Earnings before Tax(102.33 M)(176.18 M)(262.69 M)(302.89 M)(333.25 M)(342.02 M)
Average Equity210.74 M197.23 M31.99 M433.74 M691.21 M745.78 M
Enterprise Value5.03 B9.39 B22.85 B27.48 B15.03 B15.71 B
Free Cash Flow(48.84 M)(33.1 M)(54.45 M)(1.09 M)(20.21 M)(21.81 M)
Invested Capital580.09 M1.21 B1.52 B2.55 B2.66 B2.87 B
Invested Capital Average470.85 M705.18 M1.47 B2.13 B2.42 B2.62 B
Market Capitalization4.95 B9.3 B22.28 B27.04 B14.84 B15.51 B
Tangible Asset Value675.7 M1.24 B1.33 B2.37 B2.52 B2.72 B
Working Capital401.6 M870.81 M787.35 M1.59 B1.65 B1.78 B

MongoDB Fundamentals

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.
Last ReportedProjected for 2023
Price to Book Value 20.07  21.65 

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 markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to MongoDB's public news can be used to forecast risks associated with 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 equiteis 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

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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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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When running MongoDB 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 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
Revenue Per Share
Quarterly Revenue Growth
Return On Assets
Return On Equity
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 MongoDB value 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.