Everquote Class A Stock Beneish M Score
EVER Stock | USD 18.61 0.90 4.61% |
EverQuote | Beneish M Score |
At this time, it appears that EverQuote Class A is an unlikely manipulator. The earnings manipulation may begin if EverQuote's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by EverQuote executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of EverQuote's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-3.13
Beneish M Score - Unlikely Manipulator
EverQuote Beneish M-Score Indicator Trends
The cure to earnings manipulation is the transparency of financial reporting. It will typically remove the temptation of the top executives to inflate earnings (i.e., to promote the idea of 'winning at any cost'). Because a healthy internal audit department can enhance transparency, the board should promote the auditors' access to all the record-keeping systems across the enterprise. For example, if EverQuote's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back.
Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
---|---|---|---|---|---|---|---|---|---|
Net Receivables | 32.5 M | 25.5 M |
|
| |||||
Total Assets | 105.4 M | 110.9 M |
|
| |||||
Non Current Assets Total | 38.4 M | 41.7 M |
|
| |||||
Property Plant Equipment | 19 M | 11 M |
|
| |||||
Depreciation And Amortization | 3.7 M | 6.2 M |
|
| |||||
Non Current Liabilities Total | 66.5 K | 70 K |
|
| |||||
Short Term Debt | 2 M | 2.1 M |
|
| |||||
Gross Profit Margin | 1.03 | 0.922 |
|
|
EverQuote Class A Beneish M-Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to detect the potential manipulation of earnings. Understanding the correlation between EverQuote's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards EverQuote in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find EverQuote's degree of accounting gimmicks and manipulations.
Click cells to compare fundamentals
About EverQuote Beneish M Score
M-Score is one of many grading techniques for value stocks. It was developed by Professor M. Daniel Beneish of the Kelley School of Business at Indiana University and published in 1999 under the paper titled The Detection of Earnings Manipulation. The Beneish score is a multi-factor model that utilizes financial identifiers to compile eight variables used to classify whether a company has manipulated its reported earnings. The variables are built from the officially filed financial statements to create a final score call 'M Score.' The score helps to identify companies that are likely to manipulate their profits if they show deteriorating gross margins, operating expenses, and leverage against growing revenue.
Depreciation And Amortization |
|
EverQuote Earnings Manipulation Drivers
Although earnings manipulation is typically not the result of intentional misconduct by the c-level executives, it is still a widespread practice by the senior management of public companies such as EverQuote. It is usually done by a series of misrepresentations of various accounting rules and operating activities across multiple financial cycles. The best way to spot the manipulation is to examine the historical financial statement to find inconsistencies in earning reports to find trends in assets or liabilities that are not sustainable in the future.
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Net Receivables | 32.2M | 46.1M | 44.9M | 43.1M | 25.5M | 32.5M | |
Total Revenue | 248.8M | 346.9M | 418.5M | 404.1M | 287.9M | 203.1M | |
Total Assets | 91.2M | 129.1M | 143.6M | 156.5M | 110.9M | 105.4M | |
Total Current Assets | 85.3M | 42.9M | 84.7M | 81.0M | 69.2M | 42.8M | |
Net Debt | (46.1M) | (32.2M) | (26.6M) | (24.4M) | (35.8M) | (37.6M) | |
Short Term Debt | 11.3M | 2.6M | 2.7M | 2.9M | 2.1M | 2.0M | |
Operating Income | (6.8M) | (9.4M) | (20.9M) | (28.9M) | (28.6M) | (27.1M) | |
Investments | (3.0M) | (18.8M) | (18.8M) | (4.3M) | 9.1M | 9.6M |
About EverQuote Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze EverQuote Class A's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of EverQuote using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of EverQuote Class A 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.
Pair Trading with EverQuote
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if EverQuote position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in EverQuote will appreciate offsetting losses from the drop in the long position's value.Moving against EverQuote Stock
0.83 | FVRR | Fiverr International Financial Report 9th of May 2024 | PairCorr |
0.76 | Z | Zillow Group Class Earnings Call This Week | PairCorr |
0.76 | ZG | Zillow Group Earnings Call This Week | PairCorr |
0.76 | GMM | Global Mofy Metaverse | PairCorr |
0.7 | CCG | Cheche Group Report 25th of September 2024 | PairCorr |
The ability to find closely correlated positions to EverQuote could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EverQuote when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back EverQuote - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling EverQuote Class A to buy it.
The correlation of EverQuote is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as EverQuote moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EverQuote Class A moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for EverQuote can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out EverQuote Piotroski F Score and EverQuote Altman Z Score analysis. Note that the EverQuote Class A information on this page should be used as a complementary analysis to other EverQuote'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 Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Complementary Tools for EverQuote Stock analysis
When running EverQuote's price analysis, check to measure EverQuote'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 EverQuote is operating at the current time. Most of EverQuote's value examination focuses on studying past and present price action to predict the probability of EverQuote's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EverQuote's price. Additionally, you may evaluate how the addition of EverQuote 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 | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges |
Is EverQuote'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 EverQuote. If investors know EverQuote 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 EverQuote listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.54) | Revenue Per Share 8.633 | Quarterly Revenue Growth (0.37) | Return On Assets (0.13) | Return On Equity (0.54) |
The market value of EverQuote Class A is measured differently than its book value, which is the value of EverQuote that is recorded on the company's balance sheet. Investors also form their own opinion of EverQuote's value that differs from its market value or its book value, called intrinsic value, which is EverQuote'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 EverQuote's market value can be influenced by many factors that don't directly affect EverQuote'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 EverQuote's value and its price as these two are different measures arrived at by different means. Investors typically determine if EverQuote is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, EverQuote'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.