STOCK TITAN

Datavault AI (DVLT) keeps 2026 revenue target after $88M Q2 loss

(High)
(Neutral)
Form Type
8-K

Rhea-AI Filing Summary

Datavault AI Inc. (DVLT) reported very strong top-line growth alongside substantial losses for the quarter ended June 30, 2026. Q2 2026 revenue was $6.7 million, up 287% from $1.7 million in Q2 2025, driven by live event production, consumer audio, related-party sales and new patent licensing revenue.

Gross profit improved to $2.9 million from essentially breakeven a year ago, but heavy spending on research and development, sales and marketing, and general and administrative functions brought total operating expenses to $29.3 million, resulting in an operating loss of $26.5 million. Below the line, Datavault AI recorded a $56.4 million impairment on non-marketable securities and an $8.1 million loss on crypto assets, leading to a net loss of $88.0 million for Q2 2026.

For the first half of 2026, revenue was $10.1 million and the net loss was $141.2 million. On the balance sheet, total assets were $276.6 million, including $49.0 million of crypto assets, and stockholders’ equity was $245.9 million. The company reiterated its full-year 2026 revenue target of at least $200 million and highlighted progress on its integrated AI-driven data monetization and tokenization ecosystem, including SanQtum edge infrastructure and the planned Project Qestrel $QEST utility token program.

Positive

  • Revenue surged 287% year over year in Q2 2026 to $6.7 million, with gross profit improving to $2.9 million versus near breakeven a year ago.
  • The company reiterated its 2026 revenue target of at least $200 million, implying approximately 400% year-over-year growth if achieved.
  • Datavault AI advanced its platform strategy, including SanQtum edge AI deployments and the planned Project Qestrel tokenized compute network using its patented tokenization technology.

Negative

  • Datavault AI reported a Q2 2026 net loss of $88.0 million, significantly larger than the $37.1 million loss in Q2 2025.
  • The quarter included a substantial $56.4 million impairment on investments in non-marketable securities and a $8.1 million loss on crypto assets.
  • Operating expenses rose sharply to $29.3 million in Q2 2026 from $12.5 million a year earlier, driving an operating loss of $26.5 million despite strong revenue growth.

Filing Explained

The reported share count rose to 854,456,625, which may dilute existing ownership if newly issued shares caused it; June 30 cash was $1,400 thousand.

This August 19 Form 8-K furnishes the company's second-quarter results and June 30 balance-sheet information.

At June 30, 2026, issued and outstanding common shares were 854,456,625, compared with 573,438,153 at December 31, 2025. If that increase reflects newly issued shares, it reduces an existing holder's percentage ownership absent offsetting changes; the filing does not identify the transaction that produced the change.

The June 30 balance sheet also reports cash and equivalents of $1,400 thousand against current liabilities of $27,266 thousand.

The company states that the results and business-update information under Items 2.02 and 7.01 are furnished and are not deemed filed for Section 18 purposes.

Item 2.02 Results of Operations and Financial Condition Financial
Disclosure of earnings results, typically an earnings press release or preliminary financials.
Item 7.01 Regulation FD Disclosure Disclosure
Material non-public information disclosed under Regulation Fair Disclosure, often investor presentations or guidance.
Item 9.01 Financial Statements and Exhibits Exhibits
Financial statements, pro forma financial information, and exhibit attachments filed with this report.
Q2 2026 Revenue $6.7 million Three months ended June 30, 2026; up from $1.7 million in Q2 2025
Q2 2026 Net Loss $88.0 million Net loss attributable to common stockholders for the three months ended June 30, 2026
Q2 2026 Gross Profit $2.9 million Gross profit for the three months ended June 30, 2026, versus $35,000 in Q2 2025
Impairment on Non-Marketable Securities $56.4 million Impairment expense in Q2 2026 on investments in non-marketable securities
Loss on Crypto Assets Q2 2026 $8.1 million Loss on crypto assets for the three months ended June 30, 2026
Crypto Assets Balance $49.0 million Crypto assets on the balance sheet as of June 30, 2026
Total Assets $276.6 million Total assets as of June 30, 2026
Stockholders’ Equity $245.9 million Total stockholders’ equity as of June 30, 2026
tokenization financial
"commercialization of its data monetization and tokenization platforms"
Tokenization is the process of converting real-world assets or rights into digital tokens stored on a computer network. This allows assets, such as property or investments, to be divided into smaller parts, making them easier to buy, sell, or transfer electronically. For investors, tokenization can increase access to a wider range of investments and make transactions faster and more efficient.
edge AI infrastructure technical
"SanQtum-powered edge AI infrastructure"
quantum-resilient security technical
"combining zero-trust networking, quantum-resilient security, high-performance GPU compute"
utility tokens financial
"create $QEST utility tokens representing access and usage rights"
non-marketable securities financial
"Impairment of investments in non-marketable securities"
Non-marketable securities are ownership stakes or debt instruments that cannot be freely bought or sold on public exchanges; they often carry legal, contractual, or administrative limits on transfer. For investors this matters because such holdings are illiquid and harder to value or use as collateral—think of them like a store-specific gift card: you have real value, but you can’t easily convert it to cash or trade it on the open market.
zero-trust networking technical
"SanQtum technology stack, including zero-trust networking"
Zero-trust networking is a security approach that treats every user, device and connection as untrusted until proven otherwise, checking identity and permissions each time they try to access resources. Like requiring ID at every door instead of assuming someone already inside is safe, it reduces the chance of breaches and limits what an attacker can reach. For investors, adoption affects a company’s cyber risk, compliance costs and demand for security products and services, all of which can influence value and operating costs.
Q2 2026 Revenue $6.7 million up from $1.7 million in Q2 2025 (287% increase)
Q2 2026 Net Loss $88.0 million worse than $37.1 million net loss in Q2 2025
First Half 2026 Revenue $10.1 million up from $2.4 million in the first half of 2025
First Half 2026 Net Loss $141.2 million worse than $46.7 million net loss in the first half of 2025
Guidance

Datavault AI reiterated its full-year 2026 revenue target of at least $200 million, described as approximately a 400% year-over-year growth rate.

FAQ

How did Datavault AI (DVLT) perform financially in Q2 2026?

Datavault AI reported Q2 2026 revenue of $6.7 million, up 287% from $1.7 million in Q2 2025, and a net loss of $88.0 million. Gross profit improved to $2.9 million, but higher operating and non-operating charges drove the larger loss.

What is Datavault AI’s full-year 2026 revenue outlook?

Datavault AI reiterated a 2026 revenue target of at least $200 million, described as approximately a 400% year-over-year growth rate. This target reflects expectations for commercialization of its data monetization, tokenization and exchange platforms, including initiatives like SanQtum and Project Qestrel.

What were Datavault AI’s main drivers of loss in Q2 2026?

The company’s $88.0 million Q2 2026 net loss reflected an operating loss of $26.5 million plus significant non-operating items, including a $56.4 million impairment on non-marketable securities and an $8.1 million loss on crypto assets, alongside interest expense.

How strong is Datavault AI’s balance sheet as of June 30, 2026?

As of June 30, 2026, Datavault AI reported total assets of $276.6 million and stockholders’ equity of $245.9 million. Assets included $49.0 million in crypto assets and $100.2 million in intangible assets, with total liabilities of $30.7 million.

What are SanQtum and Project Qestrel in Datavault AI’s strategy?

SanQtum is Datavault AI’s edge AI infrastructure layer, combining secure, distributed compute and AI inference. Project Qestrel is a planned nationwide fleet of 1,000 edge data centers whose compute capacity Datavault AI intends to tokenize via $QEST utility tokens on its Information Data Exchange platform.

How is Datavault AI (DVLT) generating revenue across its business lines?

Q2 2026 revenue of $6.7 million came from live event production ($2.8 million), consumer audio and related-party sales and patent license revenue ($2.5 million). These reflect both its Acoustic Science operations and Data Science/tokenization-related activities.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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false 0001682149 0001682149 2026-08-19 2026-08-19 iso4217:USD xbrli:shares iso4217:USD xbrli:shares
 

 

UNITED STATES

SECURITIES AND EXCHANGE COMMISSION

Washington, D.C. 20549

 

 

FORM 8-K

 

 

CURRENT REPORT

PURSUANT TO SECTION 13 OR 15(d)

OF THE SECURITIES EXCHANGE ACT OF 1934

 

Date of Report (Date of earliest event reported): August 19, 2026

 

 

Datavault AI Inc.

(Exact name of registrant as specified in its charter)

 

 

Delaware   001-38608   30-1135279
(State or other jurisdiction
of incorporation)
  (Commission File Number)   (IRS Employer
Identification No.)

 

One Commerce Square

2005 Market Street, Suite 2400
Philadelphia, Pennsylvania 19103
(Address of principal executive offices, including zip code)

 

Registrant’s telephone number, including area code: (408) 627-4716

 

N/A

(Former name or former address, if changed since last report)

 

Check the appropriate box below if the Form 8-K filing is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions:

 

¨ Written communications pursuant to Rule 425 under the Securities Act (17 CFR 230.425)
¨ Soliciting material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12)
¨ Pre-commencement communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b))
¨ Pre-commencement communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CFR 240.13e-4(c))

 

Securities registered pursuant to Section 12(b) of the Act

 

Title of each class   Trading Symbol(s)   Name of each exchange on which
registered
Common stock, par value $0.0001 per share   DVLT   The Nasdaq Capital Market

 

Indicate by check mark whether the registrant is an emerging growth company as defined in Rule 405 of the Securities Act of 1933 (§230.405 of this chapter) or Rule 12b-2 of the Securities Exchange Act of 1934 (§240.12b-2 of this chapter).

 

Emerging growth company ¨

 

If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act. ¨

 

 

 

 

 

Item 2.02 Results of Operations and Financial Condition.

 

The information under Item 7.01 of this Current Report on Form 8-K is incorporated by reference in this Item 2.02.

 

Item 7.01 Regulation FD Disclosure.

 

On August 19, 2026, Datavault AI Inc. (“Datavault”) issued a press release announcing the results for the second quarter ended June 30, 2026. A copy of the press release is attached hereto as Exhibit 99.1 to this Current Report on Form 8-K and is incorporated herein by reference.

 

The information in Items 2.02 and 7.01 of this Current Report on Form 8-K (including Exhibit 99.1 attached hereto) is being furnished and shall not be deemed “filed” for purposes of Section 18 of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or otherwise subject to the liabilities of that section, nor shall they be deemed incorporated by reference into any filing by Datavault, under the Securities Act of 1933, as amended, or the Exchange Act, except as expressly set forth by specific reference in such filing.

 

Item 9.01. Financial Statements and Exhibits.

 

(d) Exhibits.

 

Exhibit 
Number
  Description
99.1   Press Release dated August 19, 2026.
104   Cover Page Interactive Data File, formatted in Inline Extensible Business Reporting Language (iXBRL).

 

 

 

 

SIGNATURES

 

Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.

 

  DATAVAULT AI INC.
     
  By: /s/ Brett Moyer
  Name: Brett Moyer
  Title: Chief Financial Officer
     
Date: August 19, 2026    

 

 

 

Exhibit 99.1

 

Datavault AI Reports Second Quarter 2026 Financial Results and Provides Business Update Highlighting Progress Toward Commercialization of Tokenization and Data Monetization Platforms

 

Datavault AI reiterates its full-year 2026 revenue target of at least $200 million

 

Video demonstrations of the Company’s exchange platforms are available online: Click Here

 

Q2 2026 Revenue increased 287% compared to Q2 2025

 

Strengthened leadership with the appointments of cybersecurity veteran Barry Childe as Chief Information Security Officer and Dean Becker as Chief Licensing Officer

 

PHILADELPHIA, PA – August 19, 2026 – Datavault AI Inc. (“Datavault AI” or the “Company”) (NASDAQ: DVLT), an Artificial Intelligence Platform (“AIP”) company providing data monetization, credentialing, digital engagement, real-world asset (“RWA”) tokenization and spatial audio technologies, today reported financial results for the second quarter ended June 30, 2026, and provided an update on the Company’s strategy to assemble and vertically integrate the infrastructure required to support the commercialization of its data monetization and tokenization platforms.

 

“Over the past few months, we made significant progress assembling the technology, infrastructure and strategic capabilities required to bring Datavault AI’s platform to market at scale,” said Nathaniel Bradley, Chief Executive Officer of Datavault AI. “With the NYIAX acquisition completed and the acquisition of CyberCatch under definitive agreement, the continued buildout of SanQtum and several other commercial programs underway, we believe the foundation of our platform is taking shape. Each component of our integrated technology ecosystem serves a distinct role: NYIAX is expected to provide exchange infrastructure and IP; CLEAR provides identity and credentialing; Fiserv provides payments and settlement capabilities; IBM watsonx is our AI infrastructure; Available powers our distributed edge-computing network, and CyberCatch is expected to strengthen security and compliance.”

 

“These partnerships were never intended to operate independently,” Mr. Bradley continued. “Together, they form an integrated ecosystem. With the core platform buildout well underway, our focus for the second half of 2026 shifts to execution: launching our exchanges, scaling SanQtum and converting our contracted opportunities into commercial activity and recognized revenue.”

 

 

 

 

Business Highlights

 

·Completed the acquisition of NYIAX, the Company's fifth owned exchange which adds programmatic, blockchain-based ad-contract infrastructure to the Information Data Exchange®

 

·Entered into a definitive agreement to acquire CyberCatch Holdings, Inc., with the proposed acquisition expected to integrate AI-enabled cyber-risk mitigation and quantum-resistant security natively into the SanQtum edge platform

 

·Advanced its collaboration with Fiserv to integrate Datavault AI’s patented data monetization and tokenization technologies with Fiserv’s financial technology infrastructure

 

·Continued nationwide build-out of its quantum-ready GPU edge network with Available Infrastructure, following the initial New York and Philadelphia deployments

 

·Expanded sports and entertainment monetization initiatives through athlete and legacy licensing relationships, including Tyson Fury, Roberto Clemente, Darryl Strawberry and Dwight “Doc” Gooden

 

·Entered into an agreement with Perpetuals.com designed to provide international secondary-market access for tokenized RWAs, and advanced its strategic minerals initiative with Patriot Strategic Metals

 

·Announced plans to tokenize Available Infrastructure’s Project Qestrel

 

SanQtum Infrastructure Expansion and Project Qestrel

 

During the second quarter, Datavault AI advanced its partnership with Available Infrastructure to build out its SanQtum-powered edge AI infrastructure. SanQtum provides the secure, distributed computing layer supporting Datavault AI's broader platform, combining zero-trust networking, quantum-resilient security, high-performance GPU compute and AI inference at the edge. The Company's initial SanQtum deployments in New York and Philadelphia are the first steps in a much broader planned nationwide network designed to bring secure compute closer to where data is generated, valued, and monetized.

 

On July 17, 2026, advancing this infrastructure strategy, Datavault AI announced the tokenization and monetization of Available Infrastructure’s Project Qestrel, a planned nationwide fleet of 1,000 cybersecure, sovereign edge data centers across 100 U.S. cities and more than 30 states. Each Qestrel site is expected to use Available Infrastructure’s SanQtum technology stack, including zero-trust networking, quantum-resilient encryption, high-performance computing and edge AI inference.

 

 

 

 

Datavault AI intends to use its patented tokenization technology and Information Data Exchange® platform to create $QEST utility tokens representing access and usage rights to compute capacity across the Project Qestrel network.

 

Q2-2026 Consolidated Results

 

Revenue for the three months ended June 30, 2026 was $6.7 million, an increase of $5.0 million, or 287%, from $1.7 million for the three months ended June 30, 2025.

 

Gross profit for the three months ended June 30, 2026 was $2.9 million, compared to $35,000 for the three months ended June 30, 2025.

 

Research and development expenses were $7.2 million, an increase of $3.0 million from $4.2 million for the three months ended June 30, 2025.

 

Sales and marketing expenses were $7.2 million, an increase of $5.5 million from $1.7 million for the three months ended June 30, 2025.

 

General and administrative expenses were $14.9 million, an increase of $8.4 million from $6.5 million for the three months ended June 30, 2025.

 

2026 Outlook

 

Datavault AI is reiterating its previously announced full-year 2026 revenue target of at least $200 million (approximately 400% growth rate year over year).

 

Today’s Datavault AI’s Second Quarter 2026 Webcast Conference Call

 

CEO Nathaniel Bradley and CFO Brett Moyer will host an investor conference call, webcast and Q&A today, at 8:30 a.m. ET August 19, 2026, to discuss the Company’s results and answer investor questions.

 

Conference Call and Webcast Information

 

·Date: Wednesday, August 19, 2026, at 8:30 a.m. ET

 

·Participant Dial-in (US): 1-877-709-8150

 

·Participant Dial-in (International): 1-201-689-8354 -- or Click HERE for participant International Toll-Free access numbers

 

·Webcast Access: Click Here

 

A replay of the webcast will be made available later in the day in the Investors/Presentations section of the Datavault AI website: Click Here

 

 

 

 

About Datavault AI Inc.

 

Datavault AI Inc. (Nasdaq: DVLT) is an Artificial Intelligence Platform (“AIP”) company focused on transforming data and real-world assets into intelligent, secure and monetizable digital assets. The Company’s integrated platform combines artificial intelligence, an AI-driven inference layer, data valuation, tokenization, cybersecurity, high-performance computing and exchange technologies to support the lifecycle of data and digital assets—from identification and valuation through tokenization, commercialization and monetization.

 

Datavault AI operates through two synergistic divisions: Data Science and Acoustic Science. The Data Science division includes the Company’s patented Data Vault®, DataValue®, and DataScore® technologies, together with its cybersecurity, tokenization and exchange capabilities. The Acoustic Science division includes WiSA®, ADIO® and related spatial audio and data-over-sound technologies, as well as the Company’s events and experiential media businesses, including CompuSystems, Inc., operated under the Event Citadel brand, and API Media Innovations Inc.

 

Together, these capabilities form an integrated AI platform designed to connect data, intelligence, value and markets, enabling enterprises, institutions and asset owners to identify, protect, value and monetize data and real-world assets.

 

The Company is headquartered in Philadelphia, PA. For more information, visit www.dvlt.ai. Investor information is available at ir.datavaultsite.com. Technology news and insights are published at dvlt.ai/insights.

 

Trademarks, Trade Names, Service Marks and Copyrights

 

We own or have rights to use various trademarks, trade names, service marks and copyrights, which are protected under applicable intellectual property laws. This press release also contains trademarks, trade names, service marks and copyrights of other companies, which are, to our knowledge, the property of their respective owners. Solely for convenience, certain trademarks, trade names, service marks and copyrights referred to in this press release may appear without the ©, ®, and ™ symbols, but such references are not intended to indicate, in any way, that we will not assert, to the fullest extent under applicable law, our rights or the rights of the applicable licensors to these trademarks, trade names, service marks and copyrights. We do not intend our use or display of other parties’ trademarks, trade names, service marks or copyrights to imply, and such use or display should not be construed to imply a relationship with, or endorsement or sponsorship of us by, these other parties.

 

 

 

 

Forward-Looking Statements

 

This press release contains "forward-looking statements" (within the meaning of the Private Securities Litigation Reform Act of 1995, as amended, and other securities laws) about Datavault AI Inc. ("Datavault AI," the "Company," "us," "our," or "we") and our industry that involve risks and uncertainties. In some cases, you can identify forward-looking statements because they contain words, such as "may," "might," "will," "shall," "should," "expects," "plans," "anticipates," "could," "intends," "target," "projects," "contemplates," "believes," "estimates," "predicts," "potential," "goal," "objective," "seeks," "likely" or "continue" or the negative of these words or other similar terms or expressions that concern our expectations, strategy, plans or intentions. The absence of these words does not mean that a statement is not forward-looking. Such forward-looking statements, including, but not limited to, statements regarding future events, the Company’s revenue target for fiscal 2026, the expected operational, technical and commercial outcomes of the Company’s commercial strategy, the potential for Datavault AI to successfully deploy its technologies and gain market share in such markets, the potential for Datavault AI to anticipate market trends, exploit business opportunities and create value for customers, our business opportunities and prospects, strategy and plans, future operations and revenue expectations, future costs, future financial condition, objectives of management, licensing, co-development, collaboration and/or strategic partnership initiatives, recent funding and/or equity investments, expected market growth and M&A activities, including the pending acquisition of CyberCatch Holdings, Inc. (“CyberCatch”), statements regarding the expected benefits, synergies and value creation from such acquisition, the anticipated timing of its closing, the ability to satisfy applicable closing conditions, including, without limitation, any required stockholder approvals under applicable securities laws or the rules and regulations of the applicable trading market, absence of any injunction or other law or order prohibiting such transaction, absence of pending litigation challenging or seeking to restrain such transaction, execution and delivery of key-party agreements, and required employee and consultant waivers and replacement offer letters, the anticipated integration of NYIAX and CyberCatch, the proposed issuance, timing and listing of $QEST utility tokens and the expectation that the total tokenized value of the Project Qestrel program will exceed $1 billion, the completion of the proposed nationwide buildout of SanQtum and Project Qestrel, and the expected impact of the foregoing transactions, initiatives or arrangements on the Company’s business, operations, financial condition and results of operations, are necessarily based upon estimates and assumptions that, while considered reasonable by the Company and its management, are inherently uncertain. Readers are cautioned not to place undue reliance on these and other forward-looking statements contained herein.

 

Actual results may differ materially from those indicated by these forward-looking statements as a result of various risks and uncertainties including, but not limited to, the following: the risk that the Company will not achieve its full year 2026 revenue target; risks related to our ability to deploy our technologies and gain market share in our target markets; the risk that Datavault AI will incorrectly anticipate market trends and/or fail to successfully exploit business opportunities; the risk that regulatory changes with respect to digital assets may negatively impact the markets in which Datavault AI operates, or fail to drive revenue growth to anticipated levels; risks that the CyberCatch acquisition may not be completed on the anticipated terms or timeline, or at all; risks that the anticipated benefits, synergies or value creation from the acquisition of NYIAX and/or the pending acquisition of CyberCatch will not be realized or will not be realized within the expected timeframe; risks associated with integrating NYIAX, and/or CyberCatch; risks that management’s attention and resources will be diverted from existing operations; the risk that anticipated exchange launches may be delayed or that contracted opportunities may not convert into commercial activity and recognized revenue; the risk that the Company may be unable to issue or list $QEST tokens, obtain required regulatory clearances or achieve the expected tokenized value for Project Qestrel; risks that the nationwide SanQtum and Project Qestrel buildout will be delayed, not completed or not perform as expected; risks arising from dependence on third parties, including Available Infrastructure; changes in market demand for Datavault AI’s services and products; changes in economic, market, or regulatory conditions; risks relating to evolving regulatory frameworks applicable to tokenized assets; risks associated with technological development and integration; and other risks and uncertainties as more fully described in Datavault AI’s filings with the SEC, including its Annual Report on Form 10-K for the year ended December 31, 2025 and other filings that Datavault AI makes from time to time with the SEC, which are available on the SEC’s website at www.sec.gov, and could cause actual results to vary from expectations.

 

 

 

 

The forward-looking statements made in this press release relate only to events as of the date on which the statements are made. Datavault AI undertakes no obligation to update any forward-looking statements made in this press release to reflect events or circumstances after the date of this press release or to reflect new information or the occurrence of unanticipated events, except as required by law. Datavault AI may not actually achieve the plans, intentions or expectations disclosed in its forward-looking statements, and you should not place undue reliance on such forward-looking statements. Datavault AI's forward-looking statements do not reflect the potential impact of any future acquisitions, mergers, dispositions, joint ventures or investments it may make.

 

Investor Contact

Edward Barger

VP, Investor Relations

ebarger@dvlt.ai

 

 

 

 

DATAVAULT AI INC.

CONDENSED CONSOLIDATED BALANCE SHEETS

(in thousands, except share and per share data)
(unaudited)

 

   June 30, 2026   December 31, 2025 
Assets          
Current Assets:          
Cash and cash equivalents  $1,400   $2,004 
Accounts receivable   3,598    888 
Related party receivable   24,040    30,000 
Unbilled accounts receivable   621    1,705 
Inventories   942    636 
Note receivable   1,900     
Crypto assets   49,016    92,222 
Deferred offering costs   5,245    5,500 
Prepaid software license, current   8,084    7,759 
Prepaid expenses and other current assets   40,115    2,159 
Total current assets   134,961    142,873 
Property and equipment, net   2,452    606 
Intangible assets, net   100,235    94,816 
Goodwill   27,285    19,135 
Prepaid software license, noncurrent   5,158    6,956 
Investments in non-marketable securities   1,892    4,300 
Deposit for business combination       1,000 
Other assets   4,659    5,018 
Total assets  $276,642   $274,704 
           
Liabilities and Stockholders' Equity          
Current Liabilities:          
Accounts payable  $9,705   $10,832 
Accrued liabilities   11,549    11,002 
Due to related party   788    98 
Short-term convertible note payable, related party   3,680    3,936 
Short-term promissory notes   1,544    1,013 
Total current liabilities   27,266    26,881 
Convertible notes payable       5,917 
Other liabilities   3,482    3,932 
Total liabilities   30,748    36,730 
Commitments and contingencies (Note 9)          
Common stock, par value $0.0001; 2,000,000,000 shares authorized; 854,456,625 and 573,438,153 shares issued and outstanding as of June 30, 2026 and December 31, 2025, respectively   87    59 
Additional paid-in capital   764,408    615,360 
Accumulated deficit   (518,601)   (377,445)
Total stockholders’ equity   245,894    237,974 
Total liabilities and stockholders’ equity  $276,642   $274,704 

 

 

 

 

DATAVAULT AI INC.

CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS

For the three and six months ended June 30, 2026 and 2025

(in thousands, except share and per share data)

(unaudited)

 

   Three Months Ended June 30,   Six Months Ended June 30, 
   2026   2025   2026   2025 
Live event production revenue  $2,839   $1,432   $5,338   $1,432 
Consumer audio products, components, and other revenue, net   1,053    277    1,829    895 
Consumer audio products and components, related party, net   316    26    457    37 
Patent license revenue   2,509        2,509     
Total net revenue   6,717    1,735    10,133    2,364 
                     
Cost of revenue, live events   3,278    1,396    6,073    1,396 
Cost of revenue, consumer audio products, components, and other   557    304    1,067    864 
Cost of revenue, patent license   4        4     
Total cost of net revenue   3,839    1,700    7,144    2,260 
Gross profit   2,878    35    2,989    104 
                     
Operating Expenses:                    
Research and development   7,235    4,224    12,964    6,585 
Sales and marketing   7,184    1,742    13,820    3,237 
General and administrative   14,915    6,528    33,611    12,172 
Total operating expenses   29,334    12,494    60,395    21,994 
Loss from operations   (26,456)   (12,459)   (57,406)   (21,890)
                     
Interest expense, net   (1,000)   (17,202)   (2,121)   (17,322)
Change in fair value of 2025 Notes measured at fair value       (8,804)       (8,804)
Change in fair value of convertible note to related party measured at fair value       1,355        1,355 
Loss on Crypto assets   (8,094)       (25,050)    
Extinguishment of debt           (1,725)    
Impairment of investments in non-marketable securities   (56,372)       (58,906)    
Change in fair value of warrant liabilities   3,866    2    3,866    19 
Other income/(expense), net   31    (3)   186    (32)
Loss before provision for income taxes   (88,025)   (37,111)   (141,156)   (46,674)
Provision for income taxes       5        5 
Net loss attributable to common stockholders  $(88,025)  $(37,116)  $(141,156)  $(46,679)
Net loss per common share - basic and diluted  $(0.12)  $(0.54)  $(0.22)  $(0.77)
Weighted average number of common shares used in computing net loss per common share   727,623,511    68,174,418    651,345,981    60,968,158 

 

 

 

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