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Datavault AI (NASDAQ: DVLT) posts Q1 surge, touts $200M 2026 target

Filing Impact
(High)
Filing Sentiment
(Neutral)
Form Type
8-K

Rhea-AI Filing Summary

Datavault AI Inc. reported a sharp jump in activity and continued heavy investment in its Q1 2026 update. Revenue for the quarter ended March 31, 2026 was $3.4 million, up 443% from $0.6 million a year earlier, mainly from the CompuSystems acquisition, but gross margin fell to 3%.

Operating expenses rose significantly as the company ramped AI infrastructure and go-to-market efforts, leading to a net loss of $53.1 million and Adjusted EBITDA of negative $25.8 million. Management highlighted more than $800 million in tokenization contracts, nearly $100 million of expected 2026 fees, and reiterated a 2026 revenue target of at least $200 million.

The update details a quantum-ready distributed GPU edge network expected to reach about 100 U.S. cities and a binding term sheet for a $120 million cash contribution and revenue participation agreement with Scilex Holding Company. Datavault also closed a $60 million registered direct offering, signed a $150 million-plus GoldVault tokenization program, and entered a binding LOI to acquire CyberCatch to embed AI-driven cyber risk mitigation into its SanQtum-secured platform.

Positive

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Negative

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Insights

Datavault shows explosive top-line growth but remains highly loss-making and capital intensive.

Datavault AI is positioning itself as an AI and tokenization infrastructure platform, with Q1 2026 revenue of $3.4M, up 443% year over year. Growth is driven by the CompuSystems acquisition and early traction in live event production and related services, not yet by tokenization revenue.

Despite the expansion, profitability is deeply negative. Gross margin was only 3%, while operating expenses reached $31.1M, producing a net loss of $53.1M and Adjusted EBITDA of -$25.8M. Crypto-related items, including a $16.1M change in fair value of cryptocurrency and a $0.8M bitcoin sale loss, meaningfully affected results.

The company is funding an ambitious quantum-ready GPU edge network targeting roughly 100 U.S. cities and about 48,000 GPUs, backed by a $120M proposed cash contribution from Scilex and a $60M registered direct offering. Execution on more than $800M of tokenization contracts and achieving the at-least $200M 2026 revenue target will depend on converting these agreements into recognized revenue while managing dilution, volatility in crypto assets, and integration of acquisitions such as CyberCatch.

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.
Q1 2026 revenue $3.4 million Three months ended March 31, 2026; up from $0.6M in 2025
Revenue growth 443% year over year Q1 2026 vs Q1 2025 total net revenue
Q1 2026 net loss $53.1 million Net loss attributable to common stockholders, quarter ended March 31, 2026
Q1 2026 Adjusted EBITDA -$25.8 million Non-GAAP Adjusted EBITDA for the three months ended March 31, 2026
Crypto assets balance $57.1 million Crypto assets as of March 31, 2026; down from $92.2M at Dec. 31, 2025
Tokenization contracts signed More than $800 million Tokenization contracts signed so far in 2026, including Q1
Expected 2026 tokenization fees Nearly $100 million Fees expected to be recognized in 2026 from tokenization contracts
Registered direct offering $60 million Registered direct equity offering announced in May 2026
real-world asset tokenization financial
"a secure, AI-enabled RWA monetization platform"
Converting a physical or financial item—like real estate, artwork, or a bond—into digital tokens that represent ownership or rights on a secure digital ledger. Think of slicing a house into many small, tradable shares so more people can buy pieces, trades settle faster, and markets can become more liquid; investors gain easier access and flexibility but also face new legal, custody and technology risks.
quantum-ready distributed GPU edge network technical
"Datavault AI has expanded its quantum-ready distributed graphics processing unit (“GPU”) edge network"
registered direct offering financial
"the pricing and closing of a $60 million registered direct offering"
A registered direct offering is a way for a company to sell new shares of its stock directly to select investors with regulatory approval. This method allows the company to raise funds quickly and efficiently without needing a public auction, similar to offering exclusive access to a limited number of buyers. For investors, it often provides an opportunity to purchase shares at a favorable price, while giving the company immediate access to capital.
Adjusted EBITDA financial
"A reconciliation of net income (loss), the most directly comparable GAAP measure, to EBITDA and Adjusted EBITDA is set forth below"
Adjusted EBITDA is a way companies measure how much money they make from their core operations, like running a business, by removing certain costs or income that aren’t part of regular business activities. It helps investors see how well a company is doing without distractions from unusual expenses or gains, making it easier to compare companies or track performance over time.
warrant liabilities financial
"Change in fair value of warrant liabilities"
Warrant liabilities are the financial obligations a company records when it grants warrants—special rights allowing someone to buy shares at a set price in the future. If the warrants are expected to be exercised, they are treated as a liability because the company might need to deliver shares or cash later. This matters to investors because it affects the company’s reported financial health and the potential dilution of existing shares.
Revenue $3.4 million +443% YoY
Net loss $53.1 million vs. $9.6 million net loss in Q1 2025
Adjusted EBITDA -$25.8 million vs. -$6.5 million in Q1 2025
Guidance

Datavault AI reiterated a full-year 2026 revenue target of at least $200 million, implying projected growth of approximately 400% year over year.

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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): May 15, 2026

 

 

 

Datavault AI Inc.

(Exact name of registrant as specified in its charter)

 

 

 

Delaware

(State or other jurisdiction
of incorporation)

001-38608

(Commission File Number)

30-1135279

(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 May 15, 2026, Datavault AI Inc. (“Datavault”) issued a press release announcing the results for the first quarter ended March 31, 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 May 15, 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/ Nathaniel Bradley
  Name: Nathaniel Bradley
  Title: Chief Executive Officer
     
Date: May 15, 2026    

  

 

 

 

 

Exhibit 99.1

 

Datavault AI Provides Q1 2026 Business Update Highlighting Tokenization Adoption and Infrastructure Progress

 

More than $800 million in tokenization contracts signed; generating nearly $100 million in fees expected to be recognized in 2026

 

First Quarter 2026 Business Highlights

 

·Datavault AI reiterates $200 million revenue target for full-year 2026

 

·Q1-2026 revenue increased 443% YoY vs Q1-2025

 

·CLARITY Act anticipated to provide tailwind to planned H2 2026 exchange launch of IDE, SiX, NYIAX and IEE

 

·Balance sheet strengthened following $60 million registered offering of common stock, bringing working capital up to approximately $140 million

 

·Secured additional $120 million in non-dilutive funding to accelerate the nationwide rollout of the SanQtum AI infrastructure platform

 

·Expanded intellectual property ("IP") portfolio through newly issued patents and notices of allowance

 

Management to host a live investor webcast this morning at 8:30 a.m. ET

 

PHILADELPHIA, PA / May 15, 2026 / Datavault AI Inc. ("Datavault AI" or the "Company") (NASDAQ: DVLT), a provider of data monetization, credentialing, digital engagement, and real-world asset ("RWA") tokenization technologies, today reported results for the quarter ended March 31, 2026.

 

“We entered 2026 with strong momentum and are executing aggressively on our strategic plan,” said Nathaniel Bradley, Chief Executive Officer of Datavault AI. “Our signing of approximately $750 million in tokenization contracts during the first quarter validates the growing institutional demand for a secure, AI-enabled RWA monetization platform. Over the past several months, we have continued advancing our vision of transforming data into a monetizable asset class while simultaneously building the secure AI infrastructure required to support that future. We are not simply participating in the evolution of AI and tokenized economies; we are building the asset-agnostic foundational platform designed to power them.”

 

2026 Strategic Highlights and Accomplishments

 

So far in 2026, Datavault AI has expanded its quantum-ready distributed graphics processing unit (“GPU”) edge network, advanced its tokenization platform, strengthened its IP portfolio, entered new vertical markets, and has substantially strengthened its balance sheet.

 

 

Subsequent to the contracts signed during the first quarter of 2026, Datavault AI entered into an agreement in April 2026 for a strategic transaction that will combine a Datavault AI equity investment in King Mining Capital, a Datavault AI stock-funded purchase of 20,000 ounces of physical gold bullion, and the launch of a $150 million-plus GoldVault™ tokenization program backed by King Mining Capital’s high-grade gold resources. "The planned relaunch of IDE, IEE, and NYIAX later this summer with upgraded AI features, including CLEAR, watsonx.ai, and Fiserv integrations, will further drive value creation for our partners and stakeholders, and these contracts reinforce our confidence in our full-year 2026 revenue target of at least $200 million." Mr. Bradley continued.

 

Additionally, in May 2026, Datavault AI entered into a binding letter of intent to acquire CyberCatch Holdings, Inc. (“CyberCatch”) in an all-stock transaction designed to integrate AI-enabled cyber risk mitigation and quantum-resistant security capabilities directly into Datavault AI’s SanQtum-secured edge ecosystem.

 

“We anticipate that integration of CyberCatch with our SanQtum platform will significantly strengthen our position as a secure infrastructure provider for the emerging tokenized economy,” Mr. Bradley added. “As policymakers move toward establishing clearer regulatory frameworks for digital assets and tokenization through legislation such as the CLARITY Act, Datavault AI is already building ahead of that curve. By integrating AI-driven cyber risk mitigation, continuous compliance, and quantum-resilient security into our platform today, we are positioning the Company to meet the enterprise and institutional demands of tomorrow’s regulated digital asset markets.”

 

As part of its infrastructure geographic expansion strategy, Datavault AI launched its first quantum-ready distributed GPU edge network sites in New York and Philadelphia through its partnership with Available Infrastructure entered into in April 2026. The platform combines ultra-low latency AI processing, quantum-resilient cybersecurity, self-healing mesh architecture, and zero-trust execution environments intended for enterprise, government, media, and critical infrastructure applications. The Company’s quantum-ready distributed GPU edge network is expected to scale to more than 100 U.S. cities by the end of 2026 and support a planned fleet of approximately 48,000 GPUs. To accelerate this deployment, Datavault AI executed a binding term sheet for a proposed $120 million cash contribution and revenue participation agreement with Scilex Holding Company. “This funding commitment validates the long-term strategic vision behind SanQtum and positions Datavault AI to become a foundational infrastructure provider for the emerging data economy,” said Brett Moyer, Datavault AI’s Chairman and Chief Financial Officer. “The cash contribution will be used to fully fund the deployment of our quantum-ready GPU infrastructure across an estimated 100 cities in the United States, delivering unprecedented AI, high-performance computing, tokenized RWA processing, and secure government and enterprise services nationwide.”

 

 

Also, in May 2026, the Company announced the pricing and closing of a $60 million registered direct offering intended to support the deployment of the Company’s quantum-ready GPU edge network, including build-out and equipment, as well as working capital and general corporate purposes. “We are pleased with the strong support demonstrated by institutional investors,” said Mr. Moyer. “This financing strengthens our balance sheet and provides additional flexibility as we continue executing on strategic capital allocation that includes acquisitions. We believe the combination of our patented technologies, growing enterprise relationships, nationwide GPU deployment strategy, and expanding IP portfolio growth positions us to become a foundational infrastructure provider in the digital asset space.”

 

Q1-2026 Consolidated Results

 

Revenue for the three months ended March 31, 2026 was $3.4 million, an increase of $2.8 million or 443% compared to the revenue for the three months ended March 31, 2025 of $0.6 million. The increase was a result of the acquisition of CompuSystems Inc. (“CSI”).

 

Gross profit for the three months ended March 31, 2026 was $0.1 million compared to a gross profit of $0.1 million for the three months ended March 31, 2025. The gross profit as a percentage of sales was 3% for the three months ended March 31, 2026, compared to the gross profit of 11% for the three months ended March 31, 2025. The decrease in gross profit as a percentage of sales is due to the inclusion of lower-margin revenue as a result of the acquisition of CSI.

 

Research and development expenses for the three months ended March 31, 2026 were $5.7 million, an increase of $3.3 million compared to the research and development expenses for the three months ended March 31, 2025 of $2.4 million. The increase in research and development expenses was primarily driven by IBM watsonx.ai and SanQtum AI subscription licenses of $3.1 million and higher legal expenses of $0.3 million.

 

Sales and marketing expenses for the three months ended March 31, 2026 were $6.6 million, an increase of $5.1 million compared to the sales and marketing expenses for the three months ended March 31, 2025 of $1.5 million. The increase in sales and marketing expenses is primarily related to an increase in headcount resulting in increased salaries and wages, benefits and stock-based compensation of $1.5 million, an increase in advertising and sponsorship projects of $2.8 million and consulting expenses of $0.4 million.

 

General and administrative expenses for the three months ended March 31, 2026 were $18.7 million, an increase of $13.1 million compared to general and administrative expenses for the three months ended March 31, 2025 of $5.6 million. The increase in general and administrative expenses is primarily driven by higher headcount, resulting in additional salaries, wages, commissions, benefits, and stock-based compensation of $4.4 million; consulting and legal expenses of $1.6 million and $2.5 million respectively; higher amortization of intangible assets of $0.8 million related to the CSI acquisition closed on May 20, 2025, the IP acquisitions from Turner Global Media LLC and Web Access LLC closed in July 2025, the IP acquisition closed in January, 2026 and the API acquisition closed in January, 2026. The increase also reflects higher acquisition-related expenses and investor relations costs of $0.6 million each.

 

 

2026 Outlook

 

Datavault AI reiterates its previously announced full-year 2026 revenue target of at least $200 million, representing projected growth of approximately 400% year over year.

 

“During the first quarter of 2026 and over the last several weeks, we have executed on multiple transformational initiatives that further position Datavault AI at the intersection of AI infrastructure and tokenized digital asset markets,” Mr. Bradley concluded. “From expanding the footprint of our quantum-ready GPU edge network and strengthening our institutional capital base to advancing strategic cybersecurity, we believe these developments significantly enhance our long-term growth profile and reinforce our vision of building the infrastructure layer for the emerging multi-trillion-dollar data asset economy.”

 

Today’s Datavault First 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 May 15, 2026, to discuss the Company’s results and answer investor questions.

 

Conference Call and Webcast Information

 

·Date: Friday, May 15, 2026, at 8:30 a.m. ET

 

·Webcast Access: Click Here

 

·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

 

·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 AITM (NASDAQ: DVLT) is leading the way in AI-driven data experiences, valuation, and monetization of assets in the Web 3.0 environment. The Company’s cloud-based platform provides comprehensive solutions with a collaborative focus in its Acoustic Sciences and Data Sciences divisions.

 

Datavault AI’s Acoustic Sciences division features WiSA®, ADIO®, and Sumerian® patented technologies and industry-first foundational spatial and multichannel wireless, high-definition sound transmission technologies with intellectual property covering audio timing, synchronization, and multi-channel interference cancellation. The Data Science division leverages the power of Web 3.0 and high-performance computing to provide solutions for experiential data perception, valuation, and secure monetization.

 

 

Datavault AI’s platform serves multiple industries, including high-performance computing software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy, and more. The Information Data Exchange® enables Digital Twins and the licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata, fostering responsible AI with integrity. The Company’s technology suite is fully customizable and offers AI- and machine-learning-based automation, third-party integration, detailed analytics and data, marketing automation, and advertising monitoring.

 

The Company is headquartered in Philadelphia, PA. Learn more about Datavault AI at https://dvlt.ai

 

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 full-year 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, and the projected direction and market impacts of regulatory changes with respect to digital assets, 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; 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.

 

Non-GAAP Financial Measures

 

To evaluate the performance of our business, we rely on both our results of operations recorded in accordance with generally accepted accounting principles in the United States ("GAAP") and certain non-GAAP financial measures, including EBITDA, and Adjusted EBITDA. These measures, as defined below, are not defined or calculated under principles, standards or rules that comprise GAAP. Accordingly, the non-GAAP financial measures we use and refer to should not be viewed as a substitute for performance measures derived in accordance with GAAP or as a substitute for a measure of liquidity. Our definitions of EBITDA and Adjusted EBITDA described below are specific to our business and you should not assume that they are comparable to similarly titled financial measures of other companies.

 

We define EBITDA as net income (loss) before depreciation, amortization, interest expense, net, and income tax provision.

 

We define Adjusted EBITDA, as adjusted for stock-based compensation, change in fair value of warrant liabilities, change in fair value of crypto currency, and extinguishment of debt.

 

 

When used in conjunction with GAAP financial measures, we believe that EBITDA and Adjusted EBITDA are useful supplemental measures of operating performance and liquidity because these measures facilitate comparisons of historical performance by excluding non-cash items such as equity-based compensation and other amounts not directly attributable to our primary operations. Adjusted EBITDA is also a key metric used internally by our management to evaluate performance and develop internal budgets and forecasts. EBITDA and Adjusted EBITDA have limitations as an analytical tool and should not be considered in isolation or as a substitute for analyzing our results as reported under GAAP and may not provide a complete understanding of our operating results as a whole. Some of these limitations are (i) they do not reflect changes in, or cash requirements for, our working capital needs, (ii) they do not reflect our interest expense or the cash requirements necessary to service interest or principal payments on our debt, (iii) they do not reflect our tax expense or the cash requirements to pay our taxes, (iv) they do not reflect historical capital expenditures or future requirements for capital expenditures or contractual commitments, (v) although equity-based compensation expenses are non-cash charges, we rely on equity compensation to compensate and incentivize employees, directors and certain consultants, and we may continue to do so in the future and (vi) although depreciation and amortization are non-cash charges, the assets being depreciated and amortized will often have to be replaced in the future, and these non-GAAP measures do not reflect any cash requirements for such replacements.

 

Investor Contact

Edward Barger

VP, Investor Relations

ebarger@dvlt.ai

 

Media Contact

Alan Wallace

marketing@dvlt.ai

 

 

DATAVAULT AI INC.

CONSOLIDATED BALANCE SHEETS

March 31, 2026 and December 31, 2025

(in thousands, except share and per share data)

 

   March 31, 2026   December 31, 2025 
Assets          
Current Assets:          
Cash and cash equivalents  $2,205   $2,004 
Accounts receivable   1,066    888 
Related party receivable   29,500    30,000 
Unbilled accounts receivable   1,304    1,705 
Inventories   717    636 
Note receivable   500     
Crypto assets   57,111    92,222 
Deferred offering costs   745    5,500 
Prepaid software license, current   8,368    7,759 
Prepaid expenses and other current assets   4,752    2,159 
Total current assets   106,268    142,873 
Property and equipment, net   1,199    606 
Intangible assets   102,618    94,816 
Goodwill   27,285    19,135 
Prepaid software license, noncurrent   6,058    6,956 
Investments in non-marketable securities   1,766    4,300 
Deposit for business combination       1,000 
Other assets   4,919    5,018 
Total assets  $250,113   $274,704 
           
Liabilities, Convertible Redeemable Preferred Stock and Stockholders’ Equity          
Current Liabilities:          
Accounts payable  $7,051   $10,832 
Accrued liabilities   12,053    11,002 
Due to related party   760    98 
Short-term convertible note payable, related party       3,936 
Short-term promissory notes   3,160    1,013 
Total current liabilities   23,024    26,881 
Convertible notes   3,380    5,917 
Warrant liabilities   9    9 
Other liabilities   3,672    3,923 
Total liabilities   30,085    36,730 
           
Common stock, par value $0.0001; 2,000,000,000 shares authorized; 617,813,176 and 573,438,153 shares issued and outstanding as of March 31, 2026 and December 31, 2025, respectively   63    59 
Additional paid-in capital   650,541    615,360 
Accumulated deficit   (430,576)   (377,445)
Total stockholders’ equity   220,028    237,974 
Total liabilities, redeemable convertible preferred stock and stockholders’ equity  $250,113   $274,704 

 

 

DATAVAULT AI INC.

CONSOLIDATED STATEMENTS OF OPERATIONS

For the quarters ended March 31, 2026 and 2025

(in thousands, except share and per share data)

 

   Three Months Ended March 31, 
   2026   2025 
Patent license and tokenization revenue  $   $ 
Live event production revenue   2,499     
Consumer audio products, components, and other revenue, net   917    629 
Total net revenue   3,416    629 
           
Cost of revenue, patent license and tokenization        
Cost of revenue, live events   2,795     
Cost of revenue, consumer audio products, components, and other   510    560 
Total cost of net revenue   3,305    560 
Gross profit   111    69 
           
Operating Expenses:          
Research and development   5,729    2,361 
Sales and marketing   6,636    1,495 
General and administrative   18,696    5,644 
Total operating expenses   31,061    9,500 
Income (loss) from operations   (30,950)   (9,431)
           
Interest expense, net   (1,121)   (120)
Change in fair value of warrant liabilities       17 
Extinguishment of debt   (1,725)    
Impairment of investment in nonmarketable security   (2,534)    
Other expense, net   (16,801)   (29)
Loss before provision for income taxes   (53,131)   (9,563)
Provision for income taxes        
Net loss attributable to common stockholders  $(53,131)  $(9,563)
Net loss per common share - basic and diluted  $(0.09)  $(0.18)
Weighted average number of common shares used in computing net loss per common share   574,220,923    53,681,828 

 

Note: Share and per share amounts have been retroactively adjusted to reflect the impact of a 1-for-150 reverse stock split effected in April 2024.

 

 

DATAVAULT AI INC. CONSOLIDATED STATEMENTS OF CASH FLOWS

For the quarters ended March 31, 2026 and 2025 (in thousands, except share and per share data)

 

   Three Months Ended March 31, 
   2026   2025 
Cash flows from operating activities:          
Net loss  $(53,131)  $(9,563)
Adjustments to reconcile net loss to net cash used in operating activities:          
Stock-based compensation   5,234    648 
Depreciation and amortization   3,161    2,321 
Amortization of debt discounts and paid-in-kind interest   902    120 
Fair value of equity warrants in interest expense       (17)
Change in fair value of crypto currency   16,133     
Loss on sale of bitcoin   822     
Debt extinguishment   1,725     
Impairment of nonmarketable security   2,534     
Changes in operating assets and liabilities:          
Accounts receivable   220    69 
Related party receivable   500     
Unbilled accounts receivable   401     
Inventories   -81    276 
Prepaid expenses and other current assets   (2,554)   359 
Prepaid software   289     
Other assets   99    54 
Accounts payable   (4,339)   (291)
Due to related party   18,818     
Accrued liabilities   780    30 
Other liabilities   (240)   (30)
Net cash used in operating activities   (8,727)   (6,024)
Cash flows from investing activities:          
Issuance of note receivable   (500)    
Deposit for business combination       (1,000)
Cash paid for acquisition of API Media, net   (12,949)    
Purchases of property and equipment   (264)   (52)
Disposals of property and equipment   (171)    
Net cash used in investing activities   (13,884)   (1,052)
Cash flows from financing activities:          
Repayments on notes payable   (6,963)   (406)
Proceeds from issuing shares through an At-The-Market (ATM) program   29,985    4,945 
Equity issuance costs   (210)    
Repurchase of common stock warrants       (622)
Net cash provided by financing activities   22,812    3,917 
           
Net increase (decrease) in cash and cash equivalents   201    (3,159)
Cash and cash equivalents as of beginning of period   2,004    3,330 
Cash and cash equivalents as of end of period  $2,205   $171 
           
Supplemental disclosure of cash flow information          
Cash paid for interest   278    62 
Cash paid for income taxes        
           
Noncash Investing and Financing Activities:          
Capitalized acquisition costs       117 
Unpaid financing issuance costs       86 
Unpaid deferred offering costs   469    117 
Settlement of Related Party Payable with Bitcoin   18,156     
Intangible assets acquired with issuance of common stock   5,400     
Reclass liability warrant to equity       15 

 

 

 

 

A reconciliation of net income (loss), the most directly comparable GAAP measure, to EBITDA and Adjusted EBITDA is set forth below:

 

GAAP to Non-GAAP Reconciliations      

(In thousands)      

 

   Three Months Ended March 31, 
   2026   2025 
Non-GAAP Adjusted EBITDA Reconciliation:          
Net loss  $(53,130)  $(9,563)
Depreciation  $73   $12 
Amortization  $3,088   $2,309 
Interest expense, net  $1,121   $120 
Income tax provision  $0   $0 
EBITDA  $(48,848)  $(7,122)
Stock-based compensation  $5,232   $648 
Change in fair value of warrant liabilities  $0   $(17)
Change in fair value of crypto currency  $16,133   $0 
Extinguishment of debt  $1,725   $0 
Adjusted EBITDA  $(25,758)  $(6,491)

 

 

 

FAQ

How did Datavault AI (DVLT) perform financially in Q1 2026?

Datavault AI generated Q1 2026 revenue of $3.4 million, up 443% from $0.6 million a year earlier. The company remained unprofitable, reporting a net loss of $53.1 million and Adjusted EBITDA of negative $25.8 million as it scaled operations and infrastructure.

What revenue guidance did Datavault AI (DVLT) provide for full-year 2026?

Datavault AI reiterated a full-year 2026 revenue target of at least $200 million, which represents projected growth of approximately 400% year over year. Management cites large tokenization contracts and expanding AI infrastructure as key drivers behind this ambitious growth objective.

How large are Datavault AI’s tokenization contracts and expected 2026 fees?

Datavault AI highlighted more than $800 million in tokenization contracts signed so far in 2026, including about $750 million in Q1. These agreements are expected to generate nearly $100 million in fees that management anticipates will be recognized in 2026, subject to execution.

What major capital and financing actions did Datavault AI (DVLT) announce?

Datavault AI executed a binding term sheet for a proposed $120 million cash contribution and revenue participation agreement with Scilex Holding Company. It also announced the pricing and closing of a $60 million registered direct offering to fund its quantum-ready GPU edge network and general purposes.

What is Datavault AI’s quantum-ready distributed GPU edge network plan?

Datavault AI is launching a quantum-ready distributed GPU edge network, starting with sites in New York and Philadelphia. The network is expected to scale to more than 100 U.S. cities by the end of 2026 and support a planned fleet of approximately 48,000 GPUs.

What strategic acquisitions or deals did Datavault AI (DVLT) describe?

Datavault AI entered a binding letter of intent to acquire CyberCatch Holdings Inc. in an all-stock deal to integrate AI-driven cyber risk mitigation. It also outlined a strategic gold-focused transaction, including a $150 million-plus GoldVault tokenization program with King Mining Capital.

How did Datavault AI’s balance sheet and crypto assets change in Q1 2026?

Total assets were $250.1 million at March 31, 2026, down from $274.7 million at year-end 2025, as crypto assets declined from $92.2 million to $57.1 million. Cash and cash equivalents were $2.2 million, compared with $2.0 million at December 31, 2025.

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