Datavault Ai Stock Analysis
| DVLT Stock | 0.69 0.02 2.82% |
Datavault AI is overvalued with Real Value of 0.63 and Hype Value of 0.69. The main objective of Datavault stock analysis is to determine its intrinsic value, which is an estimate of what Datavault AI is worth, separate from its market price. There are two main types of Datavault's stock analysis: fundamental analysis and technical analysis.
The Datavault stock is traded in the USA on NASDAQ Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. Datavault is usually not traded on Washington 's Birthday, Good Friday, Memorial Day, Juneteenth Holiday, Independence Day, Labour Day, Thanksgiving Day, Christmas Day, New Year 's Day, Dr . Martin Luther King Jr 's Birthday. Datavault Stock trading window is adjusted to America/New York timezone.
Datavault | Build AI portfolio with Datavault Stock |
Datavault Stock Analysis Notes
About 44.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.69. Some equities with similar Price to Book (P/B) outperform the market in the long run. Datavault AI recorded a loss per share of 10.97. The entity had not issued any dividends in recent years. The firm had 1:150 split on the 15th of April 2024. To learn more about Datavault AI call Nathaniel Bradley at 408 627 4716 or check out https://datavaultsite.com.Datavault Quarterly Total Revenue |
|
Datavault AI Investment Alerts
| Datavault AI generated a negative expected return over the last 90 days | |
| Datavault AI has high historical volatility and very poor performance | |
| Datavault AI has some characteristics of a very speculative penny stock | |
| Datavault AI has a very high chance of going through financial distress in the upcoming years | |
| Datavault AI was previously known as WISA Old and was traded on NASDAQ Exchange under the symbol WISA. | |
| The company reported the previous year's revenue of 2.67 M. Net Loss for the year was (51.41 M) with profit before overhead, payroll, taxes, and interest of 528 K. | |
| Datavault generates negative cash flow from operations | |
| About 44.0% of the company shares are held by company insiders | |
| Latest headline from newswire.com: New to The Street Show 680 to Air Saturday, July 26 at 630 PM EST on Bloomberg TV |
Datavault Largest EPS Surprises
Earnings surprises can significantly impact Datavault'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 | |||
|---|---|---|---|---|---|---|---|
2024-08-14 | 2024-06-30 | -0.895 | -1.5082 | -0.6132 | 68 | ||
2024-11-15 | 2024-09-30 | -0.645 | -1.39 | -0.745 | 115 | ||
2025-03-13 | 2024-12-31 | -0.97 | 0.67 | 1.64 | 169 |
Datavault Thematic Classifications
In addition to having Datavault stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | Electronic EquipmentUSA Equities from Electronic Equipment industry as classified by Fama & French |
Datavault Market Capitalization
The company currently falls under 'Micro-Cap' category with a current market capitalization of 65 M.Datavault Profitablity
| Last Reported | Projected for Next Year | ||
| Return On Tangible Assets | (6.39) | (6.07) | |
| Return On Capital Employed | (0.22) | (0.23) | |
| Return On Assets | (0.51) | (0.54) | |
| Return On Equity | (0.60) | (0.57) |
Management Efficiency
Datavault AI has return on total asset (ROA) of (0.3218) % which means that it has lost $0.3218 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (1.6118) %, meaning that it created substantial loss on money invested by shareholders. Datavault's management efficiency ratios could be used to measure how well Datavault manages its routine affairs as well as how well it operates its assets and liabilities. Return On Tangible Assets is likely to gain to -6.07 in 2025. Return On Capital Employed is likely to drop to -0.23 in 2025. At this time, Datavault's Liabilities And Stockholders Equity is comparatively stable compared to the past year. Non Current Liabilities Total is likely to gain to about 16.1 M in 2025, whereas Total Current Liabilities is likely to drop slightly above 3.3 M in 2025.| Last Reported | Projected for Next Year | ||
| Book Value Per Share | 20.42 | 19.40 | |
| Tangible Book Value Per Share | (1.63) | (1.55) | |
| Enterprise Value Over EBITDA | (0.63) | (0.60) | |
| Price Book Value Ratio | 0.08 | 0.09 | |
| Enterprise Value Multiple | (0.63) | (0.60) | |
| Price Fair Value | 0.08 | 0.09 | |
| Enterprise Value | 13.3 M | 14 M |
The decision-making processes within Datavault are key to its success in a competitive market. By evaluating these processes, we assess the stock's potential for future gains.
Technical Drivers
As of the 26th of July, Datavault shows the Mean Deviation of 5.18, coefficient of variation of 10086.2, and Downside Deviation of 6.08. Datavault AI technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.Datavault AI Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Datavault middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Datavault AI. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Datavault AI Insider Trading Activities
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Datavault insiders, such as employees or executives, is commonly permitted as long as it does not rely on Datavault's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases Datavault insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Nathaniel Bradley over two weeks ago Acquisition by Nathaniel Bradley of 500000 shares of Datavault subject to Rule 16b-3 | ||
Brett Moyer over a month ago Acquisition by Brett Moyer of 175124 shares of Datavault subject to Rule 16b-3 |
Datavault Predictive Daily Indicators
Datavault intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Datavault stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Datavault Forecast Models
Datavault's time-series forecasting models are one of many Datavault's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Datavault's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.About Datavault Stock Analysis
Stock analysis is the technique used by a trader or investor to examine and evaluate how Datavault prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Datavault shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Datavault. By using and applying Datavault Stock analysis, traders can create a robust methodology for identifying Datavault entry and exit points for their positions.
| Last Reported | Projected for Next Year | ||
| Pretax Profit Margin | (19.23) | (18.26) | |
| Operating Profit Margin | (7.91) | (8.30) | |
| Net Loss | (19.23) | (18.26) | |
| Gross Profit Margin | 0.14 | 0.15 |
Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Datavault to your portfolios without increasing risk or reducing expected return.Did you try this?
Run Latest Portfolios Now
Latest PortfoliosQuick portfolio dashboard that showcases your latest portfolios |
| All Next | Launch Module |
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.