Datavault AI (DVLT)
Market Price (6/29/2026): $0.3361 | Market Cap: $193.0 MilSector: Information Technology | Industry: Systems Software
Datavault AI (DVLT)
Market Price (6/29/2026): $0.3361Market Cap: $193.0 MilSector: Information TechnologyIndustry: Systems Software
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 212% Megatrend and thematic driversMegatrends include Artificial Intelligence, and Cloud Computing. Themes include AI Software Platforms, Data Centers & Infrastructure, Show more. | Weak multi-year price returns2Y Excs Rtn is -107%, 3Y Excs Rtn is -141% Meaningful short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 18% | Penny stockMkt Price is 0.3 Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -48 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -821% Expensive valuation multiplesP/SPrice/Sales ratio is 32x Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 134% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -389%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -399% Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 156% Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -61% High stock price volatilityVol 12M is 206% Key risksDVLT key risks include [1] its precarious financial health, Show more. |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 212% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, and Cloud Computing. Themes include AI Software Platforms, Data Centers & Infrastructure, Show more. |
| Weak multi-year price returns2Y Excs Rtn is -107%, 3Y Excs Rtn is -141% |
| Meaningful short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 18% |
| Penny stockMkt Price is 0.3 |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -48 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -821% |
| Expensive valuation multiplesP/SPrice/Sales ratio is 32x |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 134% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -389%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -399% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 156% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -61% |
| High stock price volatilityVol 12M is 206% |
| Key risksDVLT key risks include [1] its precarious financial health, Show more. |
Qualitative Assessment
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Datavault AI (DVLT) stock has lost about 55% since 2/28/2026 because of the following key factors:
1. Datavault AI reported a significant revenue miss for fiscal Q1 2026, which ended March 31, 2026, along with a substantially widened net loss. The company reported Q1 2026 revenue of $3.42 million, missing analyst estimates of $20.4 million by $16.98 million. This represented an 83% miss compared to analyst expectations. Concurrently, the net loss for the quarter widened by 456% year-over-year to $53.1 million, driven by a $16.1 million fair value loss on Bitcoin holdings, a $2.5 million impairment on a NYIAX investment, and increased operating expenses including $5.7 million in research and development and $6.6 million in sales and marketing.
2. Uncertainty surrounding a proposed $2.0 billion dilutive financing deal created investor apprehension. On June 1, 2026, Datavault AI announced a non-binding term sheet for a potential $2.0 billion asset-backed structured financing with Helmex. While potentially significant, the terms include a dilutive share issuance at $1.55–$2.00 per share and a non-refundable upfront payment of $25 million per tranche by Datavault AI. The non-binding nature of the agreement, coupled with the possibility of the counterparty gaining board control and requirements for shareholder and regulatory approvals, introduced considerable execution risk and uncertainty, negatively impacting investor confidence.
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Datavault AI (DVLT) stock has lost about 55% since 2/28/2026 because of the following key factors:
1. Datavault AI reported a significant revenue miss for fiscal Q1 2026, which ended March 31, 2026, along with a substantially widened net loss. The company reported Q1 2026 revenue of $3.42 million, missing analyst estimates of $20.4 million by $16.98 million. This represented an 83% miss compared to analyst expectations. Concurrently, the net loss for the quarter widened by 456% year-over-year to $53.1 million, driven by a $16.1 million fair value loss on Bitcoin holdings, a $2.5 million impairment on a NYIAX investment, and increased operating expenses including $5.7 million in research and development and $6.6 million in sales and marketing.
2. Uncertainty surrounding a proposed $2.0 billion dilutive financing deal created investor apprehension. On June 1, 2026, Datavault AI announced a non-binding term sheet for a potential $2.0 billion asset-backed structured financing with Helmex. While potentially significant, the terms include a dilutive share issuance at $1.55–$2.00 per share and a non-refundable upfront payment of $25 million per tranche by Datavault AI. The non-binding nature of the agreement, coupled with the possibility of the counterparty gaining board control and requirements for shareholder and regulatory approvals, introduced considerable execution risk and uncertainty, negatively impacting investor confidence.
3. The company received a Nasdaq notice for failing to meet the minimum bid price requirement. As of May 15, 2026, Datavault AI was notified by Nasdaq that its stock failed to maintain the required $1.00 minimum bid price. The company faces a deadline of August 24, 2026, to regain compliance. This deficiency creates delisting risk and the potential necessity of a reverse stock split, which can often be perceived negatively by the market.
4. A short seller report and subsequent legal investigation raised concerns about the company's operations and disclosures. Around June 14, 2026, a legal probe was initiated into Datavault AI following a short report by Wolfpack Research. The report alleged that Datavault AI made false and misleading statements concerning its AI, quantum computing, and blockchain operations, and engaged in deceptive stock promotion practices. These allegations contributed to heightened volatility and investor caution regarding the company's business activities and transparency.
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Stock Movement Drivers
Fundamental Drivers
The -52.8% change in DVLT stock from 2/28/2026 to 6/28/2026 was primarily driven by a -90.9% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 2282026 | 6282026 | Change |
|---|---|---|---|
| Stock Price ($) | 0.71 | 0.33 | -52.8% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3 | 6 | 118.2% |
| P/S Multiple | 13.8 | 32.9 | 138.5% |
| Shares Outstanding (Mil) | 52 | 574 | -90.9% |
| Cumulative Contribution | -52.8% |
Market Drivers
2/28/2026 to 6/28/2026| Return | Correlation | |
|---|---|---|
| DVLT | -52.8% | |
| Market (SPY) | 6.6% | 29.3% |
| Sector (XLK) | 30.7% | 33.3% |
Fundamental Drivers
The -83.5% change in DVLT stock from 11/30/2025 to 6/28/2026 was primarily driven by a -90.9% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 11302025 | 6282026 | Change |
|---|---|---|---|
| Stock Price ($) | 2.03 | 0.33 | -83.5% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3 | 6 | 118.2% |
| P/S Multiple | 39.5 | 32.9 | -16.7% |
| Shares Outstanding (Mil) | 52 | 574 | -90.9% |
| Cumulative Contribution | -83.5% |
Market Drivers
11/30/2025 to 6/28/2026| Return | Correlation | |
|---|---|---|
| DVLT | -83.5% | |
| Market (SPY) | 7.3% | 21.6% |
| Sector (XLK) | 26.9% | 22.2% |
Fundamental Drivers
The -59.4% change in DVLT stock from 5/31/2025 to 6/28/2026 was primarily driven by a -90.9% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 5312025 | 6282026 | Change |
|---|---|---|---|
| Stock Price ($) | 0.82 | 0.33 | -59.4% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3 | 6 | 118.2% |
| P/S Multiple | 16.0 | 32.9 | 105.2% |
| Shares Outstanding (Mil) | 52 | 574 | -90.9% |
| Cumulative Contribution | -59.4% |
Market Drivers
5/31/2025 to 6/28/2026| Return | Correlation | |
|---|---|---|
| DVLT | -59.4% | |
| Market (SPY) | 25.1% | 16.9% |
| Sector (XLK) | 57.8% | 15.3% |
Fundamental Drivers
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Market Drivers
5/31/2023 to 6/28/2026| Return | Correlation | |
|---|---|---|
| DVLT | ||
| Market (SPY) | 81.3% | 12.4% |
| Sector (XLK) | 125.1% | 13.7% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| DVLT Return | - | - | - | - | -47% | -48% | -72% |
| Peers Return | -22% | -59% | 65% | 88% | 32% | -36% | -16% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 7% | 96% |
Monthly Win Rates [3] | |||||||
| DVLT Win Rate | - | - | - | - | 18% | 50% | |
| Peers Win Rate | 45% | 35% | 50% | 52% | 52% | 27% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| DVLT Max Drawdown | - | - | - | - | - | -77% | |
| Peers Max Drawdown | -54% | -65% | -41% | -43% | -46% | -49% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: PLTR, SNOW, AI, VERI, ADSK.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 6/26/2026 (YTD)
How Low Can It Go
| Event | DVLT | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -40.4% | -18.8% |
| % Gain to Breakeven | 67.7% | 23.1% |
| Time to Breakeven | 169 days | 79 days |
In The Past
Datavault AI's stock fell -40.4% during the 2025 US Tariff Shock. Such a loss loss requires a 67.7% gain to breakeven.
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| Event | DVLT | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -40.4% | -18.8% |
| % Gain to Breakeven | 67.7% | 23.1% |
| Time to Breakeven | 169 days | 79 days |
In The Past
Datavault AI's stock fell -40.4% during the 2025 US Tariff Shock. Such a loss loss requires a 67.7% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
About Datavault AI (DVLT)
Datavault AI Inc. (DVLT) is a data sciences technology company focused on providing advanced solutions for managing and processing complex data. The company specializes in owning and operating sophisticated platforms, including those for data management and supercomputing, to serve the evolving needs of data-intensive industries.
Its primary offerings include a suite of data technology and software solutions designed to empower organizations. These solutions leverage the company's robust data management and high-performance supercomputer platforms, enabling clients to efficiently store, analyze, and derive insights from large datasets. Datavault AI's products cater to businesses and entities requiring significant computational power and advanced data handling capabilities.
Based in Beaverton, Oregon, Datavault AI targets a market of professional and institutional clients in need of cutting-edge data infrastructure and analytical tools. Incorporated in 2010, the company recently underwent a strategic rebranding, changing its name from WiSA Technologies, Inc. to Datavault AI Inc. in February 2025, to reflect its dedicated focus on data sciences.
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Here are 1-3 brief analogies for Datavault AI (DVLT):
- AWS for high-performance data science.
- Snowflake for supercomputing-scale data platforms.
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- Data Management Platforms: Software and infrastructure solutions designed for organizing, storing, and accessing large volumes of data.
- Supercomputer Platforms: High-performance computing infrastructure and services utilized for advanced data processing, analysis, and AI model training.
- Data Technology and Software Solutions: Specialized software and technological services that leverage data science for various business needs.
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Datavault AI Inc. (DVLT), as described as a data sciences technology company focusing on data management and supercomputer platforms, has not publicly disclosed its major customers at this time. The company, which is undergoing a strategic pivot and will formally change its name from WiSA Technologies, Inc. to Datavault AI Inc. in February 2025, is in the early stages of its new business operations.
While Datavault AI Inc. is expected to operate on a business-to-business (B2B) model, targeting sectors such as financial institutions, insurance companies, government agencies, and research institutions, specific names of major customer companies are not yet identifiable in public records.
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Nathaniel T. Bradley, Chief Executive Officer and Director
Nathaniel T. Bradley was appointed CEO and a Director of Datavault AI Inc. on December 31, 2024, following the company's acquisition of assets from Data Vault Holdings Inc., where he was a co-founder and CEO. Mr. Bradley is an accomplished inventor with over 70 international and U.S. patents across various fields, including Internet broadcasting, mobile advertising, behavioral healthcare, blockchain, cybersecurity, AI, and data science. As CEO and co-founder of Data Vault Holdings Inc., he developed patented technologies that position Datavault as a leader in Web 3.0 data monetization. He also founded Intellectual Property Network Inc. and was the inventor and founder of AudioEye, pioneering cloud-based assistive technologies. Previously, he served as Chief Technology Officer for Marathon Patent Group (now Marathon Digital Holdings) and was involved in significant acquisitions within the Internet Radio industry.
Brett Moyer, Chief Financial Officer and Director
Brett Moyer became the Chief Financial Officer and a Director of Datavault AI in January 2025, having served as a director and chairman of the board since 2010. He was a founding member of WiSA Technologies, Inc. (the predecessor to Datavault AI) and held the positions of President and Chief Executive Officer from August 2010 until December 31, 2024. Before joining WiSA Technologies, Mr. Moyer served as president and chief executive officer of Focus Enhancements, Inc., a developer and marketer of proprietary video technology, from August 2002 to July 2010. His earlier career includes leadership roles at Zenith Electronics Inc. Mr. Moyer has also served on the boards of directors for companies such as HotChalk, Inc. and NeoMagic Corporation, and since 2016, Alliant International University.
Sonia Choi, Chief Marketing Officer
Sonia Choi is the Co-Founder and Chief Marketing Officer (CMO) of Datavault AI Inc. In this role, she leads cross-functional operations, enterprise marketing, revenue generation strategies, and the commercialization of the company's proprietary data-centric and acoustic technologies. Ms. Choi is also a patented inventor in marketing and inclusion technologies and is a serial entrepreneur with experience building businesses and executing high-impact campaigns for Fortune 500 companies. She also serves as the Lead Principal Investigator for a Strategic Partnership Project with the U.S. Department of Energy's Brookhaven National Laboratory, focusing on AI-driven machine learning models.
Jeff Jones, Chief Technology Officer
Jeff Jones serves as the Chief Technology Officer for Datavault AI Inc. He has two decades of experience leading global SaaS platform development. His work has involved delivering digital accessibility, telecommunications, and compliance solutions that have been licensed by numerous Fortune 500 companies.
Josh Paugh, Chief Intellectual Property Officer
Josh Paugh is the Chief Intellectual Property Officer at Datavault AI. He has a 20-year career spanning intellectual property, technology creation, management, and licensing. Early in his career, he contributed to the mergers and technology integration of the three major credit bureaus. He transitioned into the entrepreneurial space as Vice President of Intellectual Property at Modavox (later Augme Technologies). Mr. Paugh joined the Intellectual Property Network (IPN), founded by Nathaniel Bradley, where he helped develop IP assets and subsequently co-founded Data Vault Holdings with Nathaniel Bradley and Alfred Blair Blaikey III, which was acquired by WiSA Technologies. He is a named inventor on over 65 highly cited patents.
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The rapid advancement and market dominance of hyperscale cloud providers (e.g., Amazon Web Services, Google Cloud Platform, Microsoft Azure) in offering comprehensive, integrated, and continually evolving data management, artificial intelligence/machine learning (AI/ML), and high-performance computing (HPC) as-a-service platforms. These platforms provide scalable, cost-effective, and often more feature-rich alternatives to standalone data management and supercomputer platforms, potentially diminishing the market for independent providers of such solutions and software.
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Datavault AI (DVLT) operates in several significant addressable markets related to data management, high-performance computing, and data technology solutions.
Data Management Platforms and Software Solutions
The global data management platform market was estimated at USD 2.51 billion in 2024 and is projected to reach USD 7.02 billion by 2033, growing at a compound annual growth rate (CAGR) of 12.2% from 2025 to 2033. North America held the largest global revenue share, over 35.0%, in this market in 2024.
Another estimate places the global data management platforms market at USD 30 billion in 2025, with a projected growth to USD 90 billion by 2035 at a CAGR of 13.2%.
More broadly, the global data and analytics software market was valued at an estimated USD 141.91 billion in 2023 and is projected to reach USD 345.32 billion by 2030, with a CAGR of 13.6% from 2024 to 2030. North America led this market with over 36% revenue share in 2023.
The global big data technology market size was valued at USD 454.00 billion in 2025 and is projected to grow to USD 1,412.45 billion by 2034, exhibiting a CAGR of 13.30%. North America dominated the big data technology market with a 27.70% market share in 2025.
The global big data software market size was valued at USD 225.7 billion in 2025 and is estimated to reach USD 459.1 billion by 2034, with an 8.00% CAGR from 2026-2034. North America held a 45.4% share of this market in 2025, and the United States alone accounted for 86.50% of the North American big data software market in 2025.
The global Software as a Service (SaaS) market, relevant to Datavault AI's software solutions, was valued at USD 315.68 billion in 2025 and is projected to grow to USD 1,482.44 billion by 2034, exhibiting a CAGR of 18.7%. North America dominated the global SaaS market with a 46.9% share in 2025.
Supercomputer Platforms (High-Performance Computing - HPC)
The global supercomputer market size is estimated at USD 12.42 billion in 2026 and is projected to reach USD 21.11 billion by 2031, growing at an 11.18% CAGR over 2026-2031. Another report states the global supercomputer market size was valued at USD 7.9 billion in 2024 and is projected to reach USD 18.03 billion by 2033, growing at a CAGR of 9.6% from 2025 to 2033.
A further estimate indicates the global supercomputer market size is calculated at USD 11.98 billion in 2025 and is predicted to increase to approximately USD 33.48 billion by 2035, expanding at a CAGR of 10.82% from 2026 to 2035. North America holds significant influence in the global supercomputer market.
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Datavault AI Inc. (DVLT) anticipates future revenue growth over the next 2-3 years to be driven by several key strategic initiatives, focusing on its data sciences technology and expanding market presence.
Here are 3-5 expected drivers of future revenue growth:
- Expanded Customer Tech-Licensing and Tokenization Services: A primary driver of Datavault AI's revenue growth is the increasing adoption of its data science group's tokenization and monetization services. This includes customer tech-licensing fees, which reflect a rising enterprise adoption of Datavault AI's platforms and services across multiple industries for monetizing blockchain data and AI Web 3.0 assets through tokenization and digital twins. The company specifically focuses on real-world asset (RWA) tokenization.
- Geographic Expansion and Edge Network Deployment: Datavault AI is strategically expanding its operational footprint globally with new centers in Philadelphia, Georgia (Center for AI and Quantum Computing), and London (Quantum Computing & Digital Twin Embassy). Domestically, the company plans to deploy its AI-driven data monetization network across over 100 cities in the United States, with an initial target of 33 cities generating revenue in the second half of 2026. This expansion aims to capture significant market share in sectors such as insurance, finance, and healthcare.
- Strategic Partnerships and Acquisitions: The company's growth is also supported by strategic acquisitions and high-visibility commercial partnerships. Datavault AI completed the acquisition of API Media to enhance its media distribution and monetization capabilities. High-profile partnerships with entities like Sports Illustrated and NFL Alumni are extending its presence within premium sports media ecosystems, and a deepening collaboration with IBM is also expected to contribute to scaling their proprietary data platforms and accelerating enterprise adoption.
- Growth in Acoustic Science Division and ADIO Technology: While the company has pivoted to data sciences, its Acoustic Science division, particularly with its ADIO technology, continues to contribute to revenue. Datavault AI has reported surges in ADIO technology revenues and anticipates continued strong performance from its Acoustic division, which licenses spatial and multichannel HD sound transmission. The integration of ADIO inaudible-tone technology in broadcasts for interactive experiences also presents a monetization avenue.
- Development and Monetization of New AI and Web 3.0 Technologies: Datavault AI is actively developing and deploying advanced technologies that are expected to drive future revenue. This includes the creation of multiple tokenomic exchanges, such as a specialized biotech exchange, leveraging blockchain and AI tools. The company is also negotiating contracts for the tokenization of diverse real-world assets like gold, diamonds, and carbon credits and has showcased innovations like the "Twinstitute" for creating digital twins and individualized voice fonts for Name, Image, and Likeness (NIL) monetization.
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Share Repurchases
- In February 2024, WiSA Technologies (now Datavault AI) repurchased 62,657 shares of Series B Preferred Stock and 81,315 Series B Preferred Stock warrants for $6.266 million.
Share Issuance
- In September 2024, WiSA Technologies (now Datavault AI) agreed to issue 40 million shares of common stock, valued at $200 million (at $5 per share), as part of a $210 million deal to acquire intellectual property and IT assets from Data Vault Holdings Inc.
- In January 2026, Datavault AI entered into an agreement to issue 7,500,000 shares of its common stock in exchange for the assignment of certain intellectual property rights.
- In February 2026, Datavault AI issued a dividend of warrants, registering up to 9,723,244 warrants and an equal number of underlying shares, each exercisable at $5.00 per share.
Inbound Investments
- In 2025, Datavault AI secured a $150 million strategic investment from Scilex Holding Company, intended to reinforce capital resources and accelerate its supercomputing infrastructure and data exchange expansion.
- In October 2025, Datavault AI completed a $6.67 million convertible notes offering, issuing senior secured convertible notes to institutional investors.
Outbound Investments
- In September 2024, WiSA Technologies (now Datavault AI) executed a definitive asset purchase agreement to acquire the Datavault® intellectual property and information technology assets from privately held Data Vault Holdings Inc. for $210 million, consisting of common stock and a $10 million 3-year note.
- In March 2026, Datavault AI completed the acquisition of API Media, which aims to strengthen its media distribution capabilities and enhance its data monetization infrastructure.
- In February 2025, WiSA Technologies was set to acquire CompuSystems, Inc. (CSI), a service provider for live event management, with the acquisition projected to contribute significantly to revenue and EBITDA.
Capital Expenditures
- In January 2026, Datavault AI made an upfront payment of $250,000 as part of an agreement with AP Global Holdings LLC for SanQtum infrastructure and cybersecurity services, with plans to deploy these services across 100 cities in the United States.
- The $150 million strategic investment from Scilex Holding Company in 2025 is designated to accelerate the development of Datavault AI's supercomputing infrastructure and expand independent data exchanges.
- For the past twelve months (as of February 2026 for WiSA Technologies, Inc. financials) and in Q3 2025, Datavault AI (then WiSA Technologies) reported capital expenditures of approximately $35,000.
Latest Trefis Analyses
| Title | Date | |
|---|---|---|
| DASHBOARDS | ||
| Datavault AI Earnings Notes | 12/16/2025 | |
| Is Datavault AI Stock Built to Withstand More Downside? | 10/17/2025 |
| Title | |
|---|---|
| ARTICLES |
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 60.92 |
| Mkt Cap | 21.3 |
| Rev LTM | 2,670 |
| Op Inc LTM | -64 |
| FCF LTM | 572 |
| FCF 3Y Avg | 441 |
| CFO LTM | 607 |
| CFO 3Y Avg | 487 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 24.7% |
| Rev Chg 3Y Avg | 22.1% |
| Rev Chg Q | 26.0% |
| QoQ Delta Rev Chg LTM | 5.8% |
| Op Inc Chg LTM | 11.3% |
| Op Inc Chg 3Y Avg | -17.7% |
| Op Mgn LTM | -56.7% |
| Op Mgn 3Y Avg | -63.0% |
| QoQ Delta Op Mgn LTM | 1.2% |
| CFO/Rev LTM | -8.0% |
| CFO/Rev 3Y Avg | 1.4% |
| FCF/Rev LTM | -9.1% |
| FCF/Rev 3Y Avg | -2.3% |
Price Behavior
| Market Price | $0.33 | |
| Market Cap ($ Bil) | 0.2 | |
| First Trading Date | 07/27/2018 | |
| Distance from 52W High | -90.2% | |
| 50 Days | 200 Days | |
| DMA Price | $0.53 | $1.13 |
| DMA Trend | indeterminate | down |
| Distance from DMA | -36.5% | -70.4% |
| 3M | 1YR | |
| Volatility | 111.5% | 207.5% |
| Downside Capture | 691.26 | 393.98 |
| Upside Capture | 172.97 | 221.17 |
| Correlation (SPY) | 36.9% | 15.9% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 6.16 | 2.83 | 2.17 | 2.69 | 2.81 | -0.28 |
| Up Beta | -1.97 | -2.21 | 0.27 | 2.23 | 1.89 | 1.11 |
| Down Beta | 10.92 | 9.97 | 0.55 | -1.04 | 2.31 | 2.56 |
| Up Capture | 184% | 220% | 246% | 204% | 511% | 56% |
| Bmk +ve Days | 13 | 28 | 36 | 67 | 141 | 432 |
| Stock +ve Days | 9 | 18 | 26 | 44 | 96 | 124 |
| Down Capture | 1460% | 1007% | 383% | 321% | 208% | 109% |
| Bmk -ve Days | 7 | 13 | 27 | 57 | 109 | 318 |
| Stock -ve Days | 11 | 23 | 37 | 80 | 153 | 197 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with DVLT | |
|---|---|---|---|---|
| DVLT | -46.5% | 207.0% | 0.56 | - |
| Sector ETF (XLK) | 46.1% | 23.5% | 1.55 | 14.8% |
| Equity (SPY) | 21.2% | 12.4% | 1.26 | 16.0% |
| Gold (GLD) | 21.8% | 27.7% | 0.70 | 11.7% |
| Commodities (DBC) | 21.8% | 18.6% | 0.92 | 7.4% |
| Real Estate (VNQ) | 16.1% | 13.6% | 0.85 | 10.0% |
| Bitcoin (BTCUSD) | -44.2% | 42.5% | -1.25 | 16.1% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with DVLT | |
|---|---|---|---|---|
| DVLT | -22.0% | 184.5% | 0.27 | - |
| Sector ETF (XLK) | 21.5% | 25.3% | 0.75 | 13.6% |
| Equity (SPY) | 13.4% | 17.1% | 0.61 | 12.4% |
| Gold (GLD) | 17.8% | 18.3% | 0.79 | 10.1% |
| Commodities (DBC) | 7.4% | 19.5% | 0.28 | 6.3% |
| Real Estate (VNQ) | 3.4% | 18.9% | 0.08 | 8.2% |
| Bitcoin (BTCUSD) | 10.9% | 54.0% | 0.39 | 13.8% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with DVLT | |
|---|---|---|---|---|
| DVLT | -11.7% | 184.5% | 0.27 | - |
| Sector ETF (XLK) | 25.0% | 24.7% | 0.91 | 13.6% |
| Equity (SPY) | 15.2% | 18.0% | 0.72 | 12.4% |
| Gold (GLD) | 11.8% | 16.1% | 0.60 | 10.1% |
| Commodities (DBC) | 5.9% | 18.0% | 0.26 | 6.3% |
| Real Estate (VNQ) | 5.6% | 20.7% | 0.23 | 8.2% |
| Bitcoin (BTCUSD) | 54.7% | 66.4% | 0.95 | 13.8% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 03/31/2026 | 05/15/2026 | 10-Q |
| 12/31/2024 | 03/31/2025 | 10-K |
| 09/30/2024 | 11/14/2024 | 10-Q |
| 06/30/2024 | 08/14/2024 | 10-Q |
| 03/31/2024 | 05/20/2024 | 10-Q |
| 12/31/2023 | 04/01/2024 | 10-K |
| 09/30/2023 | 11/14/2023 | 10-Q |
| 06/30/2023 | 08/14/2023 | 10-Q |
| 03/31/2023 | 05/15/2023 | 10-Q |
| 12/31/2022 | 03/17/2023 | 10-K |
| 09/30/2022 | 11/16/2022 | 10-Q |
| 06/30/2022 | 08/15/2022 | 10-Q |
| 03/31/2022 | 05/11/2022 | 10-Q |
| 12/31/2021 | 03/11/2022 | 10-K |
| 09/30/2021 | 11/10/2021 | 10-Q |
| 06/30/2021 | 08/10/2021 | 10-Q |
| Report Date | Filing Date | Filing |
|---|---|---|
| 03/31/2026 | 05/15/2026 | 10-Q |
| 12/31/2024 | 03/31/2025 | 10-K |
| 09/30/2024 | 11/14/2024 | 10-Q |
| 06/30/2024 | 08/14/2024 | 10-Q |
| 03/31/2024 | 05/20/2024 | 10-Q |
| 12/31/2023 | 04/01/2024 | 10-K |
| 09/30/2023 | 11/14/2023 | 10-Q |
| 06/30/2023 | 08/14/2023 | 10-Q |
| 03/31/2023 | 05/15/2023 | 10-Q |
| 12/31/2022 | 03/17/2023 | 10-K |
| 09/30/2022 | 11/16/2022 | 10-Q |
| 06/30/2022 | 08/15/2022 | 10-Q |
| 03/31/2022 | 05/11/2022 | 10-Q |
| 12/31/2021 | 03/11/2022 | 10-K |
| 09/30/2021 | 11/10/2021 | 10-Q |
| 06/30/2021 | 08/10/2021 | 10-Q |
| 03/31/2021 | 05/12/2021 | 10-Q |
| 12/31/2020 | 03/16/2021 | 10-K |
| 09/30/2020 | 11/10/2020 | 10-Q |
| 06/30/2020 | 08/13/2020 | 10-Q |
| 03/31/2020 | 05/27/2020 | 10-Q |
| 12/31/2019 | 03/25/2020 | 10-K |
| 09/30/2019 | 11/14/2019 | 10-Q |
| 06/30/2019 | 08/14/2019 | 10-Q |
| 03/31/2019 | 05/15/2019 | 10-Q |
| 12/31/2018 | 03/29/2019 | 10-K |
| 09/30/2018 | 11/15/2018 | 10-Q |
| 06/30/2018 | 09/14/2018 | 10-Q |
Recent Forward Guidance
Updated 6/8/2026Latest: Q1 2026 Earnings Reported 5/15/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2026 Revenue | 200.00 Mil | 0 | Affirmed | Guidance: 200.00 Mil for 2026 | |||
| 2026 Revenue Growth | 400.0% | 0 | 0 | Affirmed | Guidance: 400.0% for 2026 | ||
Prior: Q4 2025 Earnings Reported 3/19/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2026 Revenue | 200.00 Mil | 344.4% | Raised | Guidance: 45.00 Mil for 2026 | |||
| 2026 Revenue Growth | 400.0% | ||||||
| 2026 Cost Savings | 4.00 Mil | 0 | Affirmed | Guidance: 4.00 Mil for 2026 | |||
Insider Activity
Updated 6/12/2026| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Wilson, Wendy | Direct | Sell | 6122026 | 0.39 | 25,856 | 10,084 | 216,728 | Form | |
| 2 | Mbugua, Stanley | See Remarks | Direct | Sell | 6122026 | 0.41 | 62,982 | 25,615 | 834,892 | Form |
| 3 | Vivasor,, Inc. | Direct | Sell | 6022026 | 0.50 | 2,535,083 | 1,274,893 | 28,133,567 | Form | |
| 4 | Vivasor,, Inc. | Direct | Sell | 6022026 | 0.55 | 2,267,338 | 1,254,065 | 32,344,043 | Form | |
| 5 | Vivasor,, Inc. | Direct | Sell | 6022026 | 0.57 | 5,071,311 | 2,876,955 | 34,460,688 | Form |
| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Wilson, Wendy | Direct | Sell | 6122026 | 0.39 | 25,856 | 10,084 | 216,728 | Form | |
| 2 | Mbugua, Stanley | See Remarks | Direct | Sell | 6122026 | 0.41 | 62,982 | 25,615 | 834,892 | Form |
| 3 | Vivasor,, Inc. | Direct | Sell | 6022026 | 0.50 | 2,535,083 | 1,274,893 | 28,133,567 | Form | |
| 4 | Vivasor,, Inc. | Direct | Sell | 6022026 | 0.55 | 2,267,338 | 1,254,065 | 32,344,043 | Form | |
| 5 | Vivasor,, Inc. | Direct | Sell | 6022026 | 0.57 | 5,071,311 | 2,876,955 | 34,460,688 | Form | |
| 6 | Vivasor,, Inc. | Direct | Sell | 6022026 | 0.58 | 10,126,268 | 5,847,920 | 38,008,970 | Form | |
| 7 | Moyer, Brett | Chief Financial Officer | Direct | Sell | 3262026 | 0.63 | 159,968 | 100,300 | 2,243,801 | Form |
| 8 | Mbugua, Stanley | See Remark | Direct | Sell | 3262026 | 0.06 | 50,463 | 3,164 | 63,692 | Form |
| 9 | Bradley, Nathaniel T | Chief Executive Officer | Direct | Sell | 3262026 | 0.63 | 190,291 | 119,312 | 5,215,357 | Form |
| 10 | Bradley, Nathaniel T | Chief Executive Officer | Spouse | Sell | 3262026 | 0.63 | 51,710 | 32,422 | 2,784,662 | Form |
| 11 | Scilex, Holding CO | Direct | Sell | 1142026 | 0.72 | 5,115,586 | 3,683,733 | 153,933,062 | Form | |
| 12 | Scilex, Holding CO | Direct | Sell | 1142026 | 0.91 | 175,139 | 159,674 | 199,554,551 | Form | |
| 13 | Scilex, Holding CO | Direct | Sell | 1142026 | 0.88 | 10,674,816 | 9,372,488 | 192,332,006 | Form | |
| 14 | Mbugua, Stanley | See Remarks | Direct | Sell | 12302025 | 0.93 | 14,720 | 13,616 | 986,319 | Form |
| 15 | Bradley, Nathaniel T | Chief Executive Officer | Direct | Sell | 12302025 | 0.93 | 31,031 | 28,704 | 7,870,126 | Form |
| 16 | Bradley, Nathaniel T | Chief Executive Officer | Spouse | Sell | 12302025 | 0.93 | 11,987 | 11,088 | 4,155,985 | Form |
| 17 | Moyer, Brett | See Remarks | Direct | Sell | 12302025 | 0.93 | 49,016 | 45,340 | 3,458,203 | Form |
| 18 | Howitt, David Marc | Direct | Sell | 12082025 | 1.63 | 19,656 | 32,090 | 509,223 | Form | |
| 19 | Scilex, Holding CO | Direct | Sell | 11282025 | 2.06 | 422,299 | 871,161 | 546,880,071 | Form | |
| 20 | Moyer, Brett | See Remarks | Direct | Sell | 11252025 | 2.44 | 28,594 | 69,758 | 2,656,898 | Form |
| 21 | Bradley, Nathaniel T | Chief Executive Officer | Direct | Sell | 11252025 | 2.44 | 20,493 | 49,995 | 11,503,878 | Form |
| 22 | Bradley, Nathaniel T | Chief Executive Officer | Spouse | Sell | 11252025 | 2.44 | 7,315 | 17,846 | 7,729,880 | Form |
| 23 | Mbugua, Stanley | See Remarks | Direct | Sell | 11252025 | 2.44 | 8,219 | 20,051 | 771,399 | Form |
| 24 | Bradley, Nathaniel T | Chief Executive Officer | Direct | Sell | 9022025 | 0.40 | 29,391 | 11,756 | 1,894,388 | Form |
| 25 | Bradley, Nathaniel T | Chief Executive Officer | Spouse | Sell | 9022025 | 0.40 | 4,862 | 1,945 | 1,270,327 | Form |
| 26 | Mbugua, Stanley | See Remarks | Direct | Sell | 9022025 | 0.40 | 33,920 | 13,568 | 129,767 | Form |
| 27 | Moyer, Brett | See Remarks | Direct | Sell | 9022025 | 0.40 | 130,754 | 52,302 | 447,066 | Form |
Industry Resources
| Information Technology Resources |
| TechCrunch |
| Wired |
| CIO |
| MIT Technology Review |
| Gartner Insights |
| Ars Technica |
| Systems Software Resources |
| CNET |
| ZDNet |
| Gartner |
| Software Development Times |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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