Datavault Ai Stock Ten Year Return
DVLT Stock | 0.51 0.03 5.56% |
Datavault's fundamental analysis aims to assess its intrinsic value by examining key economic and financial indicators - such as cash flow records, changes in balance sheet accounts, income statement trends, financial ratios, and relevant microeconomic factors affecting Datavault Stock price.
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Datavault AI Company Ten Year Return Analysis
Datavault's Ten Year Return shows the total annualized return generated from holding a fund for the last 10 years and represents fund's capital appreciation, including dividends losses and capital gains distributions. This return indicator is considered by many investors to be the ultimate measures of fund performance and can reflect the overall performance of the market or market segment it invests in.
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Ten Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Datavault Ten Year Return Driver Correlations
Understanding the fundamental principles of building solid financial models for Datavault is extremely important. It helps to project a fair market value of Datavault Stock properly, considering its historical fundamentals such as Ten Year Return. Since Datavault'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 Datavault'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 Datavault's interrelated accounts and indicators.
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Although Ten Year Fund Return indicator can give a sense of overall fund long-term potential, it is recommended to compare funds performances against other similar funds or market benchmarks for the same 10-year interval.
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Datavault Return On Tangible Assets
Return On Tangible Assets |
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Based on the latest financial disclosure, Datavault AI has a Ten Year Return of 0.0%. This indicator is about the same for the Technology average (which is currently at 0.0) sector and about the same as Software - Infrastructure (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
Datavault Ten Year Return Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Datavault's direct or indirect competition against its Ten Year Return to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Datavault could also be used in its relative valuation, which is a method of valuing Datavault by comparing valuation metrics of similar companies.Datavault is currently under evaluation in ten year return category among its peers.
Datavault Fundamentals
Return On Equity | -1.61 | ||||
Return On Asset | -0.32 | ||||
Operating Margin | (14.99) % | ||||
Current Valuation | 65.95 M | ||||
Shares Outstanding | 84.66 M | ||||
Shares Owned By Insiders | 43.73 % | ||||
Shares Owned By Institutions | 7.80 % | ||||
Number Of Shares Shorted | 4.99 M | ||||
Price To Book | 0.69 X | ||||
Price To Sales | 21.33 X | ||||
Revenue | 2.67 M | ||||
Gross Profit | 528 K | ||||
EBITDA | (21.07 M) | ||||
Net Income | (51.41 M) | ||||
Total Debt | 9.68 M | ||||
Book Value Per Share | 1.24 X | ||||
Cash Flow From Operations | (17.53 M) | ||||
Short Ratio | 2.96 X | ||||
Earnings Per Share | (10.97) X | ||||
Target Price | 3.0 | ||||
Number Of Employees | 63 | ||||
Beta | 0.069 | ||||
Market Capitalization | 65 M | ||||
Total Asset | 100.62 M | ||||
Retained Earnings | (298.45 M) | ||||
Working Capital | 2.33 M | ||||
Net Asset | 100.62 M |
About Datavault Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Datavault AI's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Datavault using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Datavault AI 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.
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Additional Tools for Datavault Stock Analysis
When running Datavault's price analysis, check to measure Datavault'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 Datavault is operating at the current time. Most of Datavault's value examination focuses on studying past and present price action to predict the probability of Datavault's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datavault's price. Additionally, you may evaluate how the addition of Datavault to your portfolios can decrease your overall portfolio volatility.