Stock Markets May 15, 2026 07:32 AM

Datavault AI Posts 443% Q1 Revenue Gain, Keeps $200M Full-Year Goal

Company secures $120M non-dilutive commitment and $800M in tokenization contracts as it scales SanQtum AI edge network

By Sofia Navarro DVLT

Datavault AI reported a sharp year-over-year increase in first-quarter revenue and confirmed a full-year revenue target of at least $200 million. The Philadelphia-based company has signed more than $800 million in tokenization contracts, obtained a $120 million non-dilutive funding commitment from Scilex Holding Company, and launched initial GPU edge sites in New York and Philadelphia as it advances deployment of its SanQtum AI infrastructure.

Datavault AI Posts 443% Q1 Revenue Gain, Keeps $200M Full-Year Goal
DVLT

Key Points

  • Datavault AI reported Q1 2026 revenue of $3.4 million, a 443% year-over-year increase, and reaffirmed a full-year revenue target of at least $200 million (about 400% year-over-year growth).
  • The company has signed over $800 million in tokenization contracts and expects nearly $100 million in related fees to be recognized during 2026.
  • A $120 million non-dilutive funding commitment with Scilex Holding Company and a $60 million registered direct offering have strengthened the balance sheet and support planned deployment of SanQtum AI across an estimated 100 U.S. cities with roughly 48,000 GPUs; initial GPU edge sites launched in New York and Philadelphia.

Datavault AI disclosed a dramatic uptick in revenue in the first quarter of 2026 and outlined multiple financing and contract milestones tied to the rollout of its SanQtum AI quantum-ready edge computing platform.

The Nasdaq-listed company, trading under the symbol DVLT, reported first-quarter 2026 revenue of $3.4 million, a 443% increase compared with the same period a year earlier. The company also reiterated its full-year revenue objective of at least $200 million, which it said represents roughly 400% growth year-over-year.

Gross profit for the three months ended March 31, 2026, was $0.1 million. Management noted that nearly $100 million in fees from tokenization contracts are expected to be recognized in 2026.

Datavault AI said it has executed more than $800 million in tokenization contracts to date. To accelerate deployment of its edge computing footprint, the company secured a $120 million funding commitment structured as a cash contribution and revenue participation agreement with Scilex Holding Company.

That funding commitment is earmarked to support deployment of Datavault AI's SanQtum AI infrastructure across an estimated 100 U.S. cities and to back a planned fleet of approximately 48,000 graphics processing units (GPUs).

Operational progress has begun: the firm launched its first GPU edge network sites in New York and Philadelphia in April via a partnership with Available Infrastructure.

In addition to the Scilex agreement, Datavault AI said a $60 million registered direct offering has bolstered its balance sheet, bringing working capital to approximately $140 million.

On strategic expansion, the company disclosed a binding letter of intent announced in May to acquire CyberCatch Holdings in an all-stock transaction. Datavault AI said the acquisition is intended to fold AI-driven cybersecurity and quantum-resistant capabilities into its platform.

Earlier, in April, the company announced a $150 million GoldVault tokenization program backed by King Mining Capital's gold resources.

Chief Executive Nathaniel Bradley described the company as "not simply participating in the evolution of AI and tokenized economies," characterizing Datavault AI's SanQtum platform as foundational infrastructure aimed at powering those developments.

Chairman and Chief Financial Officer Brett Moyer said the $120 million commitment "validates the long-term strategic vision behind SanQtum," and that it positions Datavault AI as a key infrastructure provider for what the company calls the emerging data economy.


Context for infrastructure and balance-sheet readers

From an infrastructure and capital-structure perspective, the company is combining contract backlog, targeted recognition of tokenization fees and a mix of non-dilutive and equity capital to support a rapid roll-out of edge GPU capacity. The plan, as disclosed, ties projected revenue growth to large-scale hardware deployment across numerous U.S. metropolitan areas and to monetization of tokenization programs.

Risks

  • Full-year revenue goal and the timing/amount of tokenization fee recognition are forward-looking targets that depend on execution and therefore carry uncertainty for revenue and cash-flow outcomes - this affects investors and markets tied to AI infrastructure and enterprise revenue forecasting.
  • Scaling SanQtum AI across an estimated 100 U.S. cities and deploying a planned fleet of approximately 48,000 GPUs involves operational and execution risks related to site buildouts, partnerships, and hardware deployment, with direct implications for data-center and edge-computing sectors.
  • Integration of CyberCatch Holdings through the announced binding letter of intent and realization of benefits from the $150 million GoldVault tokenization program depend on successful transaction execution and subsequent integration, presenting uncertainties for cybersecurity, tokenization, and platform capabilities.

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