MongoDB Property Plant And Equipment Net from 2010 to 2024
| MDB Stock | USD 383.80 17.67 4.83% |
Property Plant And Equipment Net | First Reported 2017-01-31 | Previous Quarter 94.1 M | Current Value 90.4 M | Quarterly Volatility 30.5 M |
Check MongoDB financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among MongoDB main balance sheet or income statement drivers, such as Tax Provision of 13.7 M, Interest Income of 84.2 M or Depreciation And Amortization of 18 M, as well as many exotic indicators such as Price To Sales Ratio of 15.31, Dividend Yield of 0.0 or PTB Ratio of 28.03. MongoDB financial statements analysis is a perfect complement when working with MongoDB Valuation or Volatility modules.
MongoDB | Property Plant And Equipment Net |
Latest MongoDB's Property Plant And Equipment Net Growth Pattern
Below is the plot of the Property Plant And Equipment Net of MongoDB over the last few years. It is the total value of a company's physical assets (such as land, buildings, and equipment) used in operations, net of depreciation. It reflects the company's investment in assets used for production. MongoDB's Property Plant And Equipment Net historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in MongoDB's overall financial position and show how it may be relating to other accounts over time.
| Property Plant And Equipment Net | 10 Years Trend |
|
Property Plant And Equipment Net |
| Timeline |
MongoDB Property Plant And Equipment Net Regression Statistics
| Arithmetic Mean | 47,225,041 | |
| Geometric Mean | 23,914,764 | |
| Coefficient Of Variation | 88.25 | |
| Mean Deviation | 38,601,638 | |
| Median | 59,557,000 | |
| Standard Deviation | 41,676,958 | |
| Sample Variance | 1737T | |
| Range | 99.5M | |
| R-Value | 0.88 | |
| Mean Square Error | 407.3T | |
| R-Squared | 0.78 | |
| Significance | 0.000012 | |
| Slope | 8,242,447 | |
| Total Sum of Squares | 24317.6T |
MongoDB Property Plant And Equipment Net History
About MongoDB Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include MongoDB income statement, its balance sheet, and the statement of cash flows. MongoDB investors use historical funamental indicators, such as MongoDB's Property Plant And Equipment Net, to determine how well the company is positioned to perform in the future. Although MongoDB investors may use each financial statement separately, they are all related. The changes in MongoDB's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on MongoDB's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on MongoDB Financial Statements. Understanding these patterns can help to make the right decision on long term investment in MongoDB. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Property Plant And Equipment Net | 90.4 M | 73.9 M |
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 | 107.77 |
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.
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 the analysis of MongoDB Correlation against competitors. 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
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.
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios |
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.