MongoDB Earnings Estimate
| MDB Stock | USD 383.80 17.67 4.83% |
MongoDB |
MongoDB Earnings Estimation Breakdown
The calculation of MongoDB's earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of MongoDB is estimated to be 0.4 with the future projection ranging from a low of 0.34 to a high of 0.83. Please be aware that this consensus of annual earnings estimates for MongoDB is based on EPS before non-recurring items and includes expenses related to employee stock options.Last Reported EPS
0.34 Lowest | Expected EPS | 0.83 Highest |
MongoDB Earnings Projection Consensus
Suppose the current estimates of MongoDB's value are higher than the current market price of the MongoDB stock. In this case, investors may conclude that MongoDB is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and MongoDB's stock will quickly adjusts to the new information provided by the consensus estimate.
| Number of Analysts | Historical Accuracy | Last Reported EPS | Estimated EPS for 30th of April 2024 | Current EPS (TTM) | |
| 7 | 40.48% | 0.86 | 0.4 | -2.47 |
MongoDB Earnings per Share Projection vs Actual
Actual Earning per Share of MongoDB refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering MongoDB predict the company's earnings will be in the future. The higher the earnings per share of MongoDB, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.MongoDB Estimated Months Earnings per Share
For an investor who is primarily interested in generating an income out of investing in entities such as MongoDB, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of MongoDB should always be considered in relation to other companies to make a more educated investment decision.MongoDB Quarterly Analyst Estimates and Surprise Metrics
Earnings surprises can significantly impact MongoDB's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
| Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
|---|---|---|---|---|---|---|---|
2024-03-07 | 2024-01-31 | 0.47 | 0.86 | 0.39 | 82 | ||
2024-01-16 | 2023-10-31 | 0.5 | 0.96 | 0.46 | 92 | ||
2023-08-31 | 2023-07-31 | 0.46 | 0.93 | 0.47 | 102 | ||
2023-06-01 | 2023-04-30 | 0.19 | 0.56 | 0.37 | 194 | ||
2023-03-08 | 2023-01-31 | 0.07 | 0.57 | 0.5 | 714 | ||
2022-12-06 | 2022-10-31 | -0.17 | 0.23 | 0.4 | 235 | ||
2022-08-31 | 2022-07-31 | -0.28 | -0.23 | 0.05 | 17 | ||
2022-06-01 | 2022-04-30 | -0.09 | 0.2 | 0.29 | 322 | ||
2022-03-08 | 2022-01-31 | -0.23 | -0.09 | 0.14 | 60 | ||
2021-12-06 | 2021-10-31 | -0.38 | -0.11 | 0.27 | 71 | ||
2021-09-02 | 2021-07-31 | -0.39 | -0.24 | 0.15 | 38 | ||
2021-06-03 | 2021-04-30 | -0.37 | -0.15 | 0.22 | 59 | ||
2021-03-09 | 2021-01-31 | -0.39 | -0.33 | 0.06 | 15 | ||
2020-12-08 | 2020-10-31 | -0.44 | -0.31 | 0.13 | 29 | ||
2020-09-02 | 2020-07-31 | -0.39 | -0.22 | 0.17 | 43 | ||
2020-06-04 | 2020-04-30 | -0.25 | -0.13 | 0.12 | 48 | ||
2020-03-17 | 2020-01-31 | -0.28 | -0.25 | 0.03 | 10 | ||
2019-12-09 | 2019-10-31 | -0.28 | -0.26 | 0.02 | 7 | ||
2019-09-04 | 2019-07-31 | -0.28 | -0.26 | 0.02 | 7 | ||
2019-06-05 | 2019-04-30 | -0.24 | -0.22 | 0.02 | 8 | ||
2019-03-13 | 2019-01-31 | -0.38 | -0.26 | 0.12 | 31 | ||
2018-12-04 | 2018-10-31 | -0.4 | -0.3 | 0.1 | 25 | ||
2018-09-05 | 2018-07-31 | -0.45 | -0.41 | 0.04 | 8 | ||
2018-06-06 | 2018-04-30 | -0.43 | -0.43 | 0.0 | 0 | ||
2018-03-13 | 2018-01-31 | -0.43 | -0.4 | 0.03 | 6 | ||
2017-12-12 | 2017-10-31 | -0.49 | -0.44 | 0.05 | 10 |
About MongoDB Earnings Estimate
The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of MongoDB earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current MongoDB estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as MongoDB fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.| Last Reported | Projected for Next Year | ||
| Retained Earnings | -1.7 B | -1.6 B | |
| Retained Earnings Total Equity | -1.4 B | -1.5 B | |
| Earnings Yield | (0.01) | (0.01) | |
| Price Earnings Ratio | (161.59) | (153.51) | |
| Price Earnings To Growth Ratio | 3.19 | 3.35 |
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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.