Duolingo Stock Z Score
| DUOL Stock | USD 205.06 10.40 5.34% |
Duolingo | Z Score |
Duolingo Company Z Score Analysis
Duolingo's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
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Duolingo Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Duolingo is extremely important. It helps to project a fair market value of Duolingo Stock properly, considering its historical fundamentals such as Z Score. Since Duolingo'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 Duolingo'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 Duolingo's interrelated accounts and indicators.
Click cells to compare fundamentals
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
| Competition |
According to the company's disclosures, Duolingo has a Z Score of 0.0. This is 100.0% lower than that of the Diversified Consumer Services sector and about the same as Consumer Discretionary (which currently averages 0.0) industry. The z score for all United States stocks is 100.0% higher than that of the company.
Duolingo Institutional Holders
Institutional Holdings refers to the ownership stake in Duolingo that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Duolingo's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Duolingo's value.| Shares | D. E. Shaw & Co Lp | 2023-09-30 | 667.8 K | Lord, Abbett & Co Llc | 2023-12-31 | 636 K | Amvescap Plc. | 2023-12-31 | 580.6 K | Two Sigma Investments Llc | 2023-12-31 | 569.6 K | Goldman Sachs Group Inc | 2023-12-31 | 527 K | T. Rowe Price Investment Management,inc. | 2023-12-31 | 473.7 K | Acadian Asset Management Llc | 2023-12-31 | 452.3 K | Wellington Management Company Llp | 2023-12-31 | 450.5 K | Morgan Stanley - Brokerage Accounts | 2023-12-31 | 441.4 K | Baillie Gifford & Co Limited. | 2023-12-31 | 3.6 M | Vanguard Group Inc | 2023-12-31 | 3.3 M |
Duolingo Fundamentals
| Return On Equity | 0.0268 | ||||
| Return On Asset | -0.0095 | ||||
| Profit Margin | 0.03 % | ||||
| Operating Margin | 0.03 % | ||||
| Current Valuation | 8.07 B | ||||
| Shares Outstanding | 36.68 M | ||||
| Shares Owned By Insiders | 1.19 % | ||||
| Shares Owned By Institutions | 89.52 % | ||||
| Number Of Shares Shorted | 1.94 M | ||||
| Price To Book | 13.82 X | ||||
| Price To Sales | 17.04 X | ||||
| Revenue | 531.11 M | ||||
| Gross Profit | 270.06 M | ||||
| EBITDA | (5.83 M) | ||||
| Net Income | 16.07 M | ||||
| Cash And Equivalents | 591.16 M | ||||
| Cash Per Share | 14.91 X | ||||
| Total Debt | 25.04 M | ||||
| Debt To Equity | 0.06 % | ||||
| Current Ratio | 4.45 X | ||||
| Book Value Per Share | 15.41 X | ||||
| Cash Flow From Operations | 153.61 M | ||||
| Short Ratio | 2.33 X | ||||
| Earnings Per Share | 0.35 X | ||||
| Price To Earnings To Growth | (60.99) X | ||||
| Target Price | 249.56 | ||||
| Number Of Employees | 720 | ||||
| Beta | 0.83 | ||||
| Market Capitalization | 8.79 B | ||||
| Total Asset | 964.23 M | ||||
| Retained Earnings | (214.42 M) | ||||
| Working Capital | 620.44 M | ||||
| Net Asset | 964.23 M |
About Duolingo Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Duolingo's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Duolingo using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Duolingo 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.
Duolingo Investors Sentiment
The influence of Duolingo'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 Duolingo. 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 Duolingo's public news can be used to forecast risks associated with an investment in Duolingo. The trend in average sentiment can be used to explain how an investor holding Duolingo can time the market purely based on public headlines and social activities around Duolingo. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Duolingo'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 Duolingo'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 Duolingo's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Duolingo.
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 Duolingo 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, Duolingo's short interest history, or implied volatility extrapolated from Duolingo options trading.
Pair Trading with Duolingo
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 Duolingo 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 Duolingo will appreciate offsetting losses from the drop in the long position's value.Moving together with Duolingo Stock
| 0.77 | DJCO | Daily Journal Corp | PairCorr |
| 0.66 | BL | Blackline Financial Report 2nd of May 2024 | PairCorr |
Moving against Duolingo Stock
| 0.85 | EB | Eventbrite Class A Financial Report 14th of May 2024 | PairCorr |
| 0.81 | DV | DoubleVerify Holdings Financial Report 8th of May 2024 | PairCorr |
| 0.79 | NOGWQ | Nogin Inc | PairCorr |
| 0.68 | U | Unity Software Financial Report 8th of May 2024 | PairCorr |
| 0.64 | DT | Dynatrace Holdings LLC Buyout Trend | PairCorr |
The ability to find closely correlated positions to Duolingo could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Duolingo 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 Duolingo - 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 Duolingo to buy it.
The correlation of Duolingo 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 Duolingo moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Duolingo 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 Duolingo 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 Duolingo Piotroski F Score and Duolingo Valuation analysis. For more information on how to buy Duolingo Stock please use our How to buy in Duolingo Stock guide.You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Complementary Tools for Duolingo Stock analysis
When running Duolingo's price analysis, check to measure Duolingo'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 Duolingo is operating at the current time. Most of Duolingo's value examination focuses on studying past and present price action to predict the probability of Duolingo's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Duolingo's price. Additionally, you may evaluate how the addition of Duolingo to your portfolios can decrease your overall portfolio volatility.
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Is Duolingo'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 Duolingo. If investors know Duolingo 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 Duolingo listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.35 | Revenue Per Share 12.813 | Quarterly Revenue Growth 0.454 | Return On Assets (0.01) | Return On Equity 0.0268 |
The market value of Duolingo is measured differently than its book value, which is the value of Duolingo that is recorded on the company's balance sheet. Investors also form their own opinion of Duolingo's value that differs from its market value or its book value, called intrinsic value, which is Duolingo'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 Duolingo's market value can be influenced by many factors that don't directly affect Duolingo'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 Duolingo's value and its price as these two are different measures arrived at by different means. Investors typically determine if Duolingo is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Duolingo'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.