Datavault AI Signs Binding Term Sheet to Sell 837 Bitcoin to Scilex for $50 Million
DVLT sits 33% above its 52-week low of $0.251 on light trading volume (0.3× avg).
Summary
Datavault AI has signed a binding term sheet to sell 837 Bitcoin to Scilex Holding Company for $50 million, a move that could significantly boost the company's liquidity amidst high cash burn.
Key Events · Financing and Capital Events · DVLT
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Binding Term Sheet Signed
On June 24, 2026, Datavault AI Inc. entered into a binding term sheet with Scilex Holding Company for the proposed sale of Bitcoin.
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Bitcoin Sale Details
The company plans to sell 837 Bitcoin from its Biconomy digital wallet for a total purchase price of $50 million.
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Payment Structure and Conditions
Scilex will make an initial payment of $30 million, with the remaining $20 million paid in quarterly installments through December 2028. Payment can be in cash, Scilex common stock, or securities of Scilex's subsidiaries, at Scilex's discretion. The transaction is subject to a definitive agreement and customary closing conditions.
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Significant Liquidity Event
The $50 million transaction represents a substantial capital event for Datavault AI, which reported a significantly wider net loss and increased cash burn in Q1 2026.
Analysis · DVLT · Trade & Services
Datavault AI has entered into a binding term sheet to sell 837 Bitcoin for $50 million. This transaction is significant given the company's market capitalization of approximately $278 million and its previously reported increased cash burn in Q1 2026. While the deal provides a substantial liquidity injection, the payment method is at Scilex's discretion (cash, stock, or subsidiary securities), and the definitive agreement is still subject to negotiation and closing conditions, introducing some uncertainty.
At the time of this filing, DVLT was trading at $0.34 on NASDAQ in the Trade & Services sector, with a market capitalization of approximately $278.1M. The 52-week trading range was $0.25 to $4.10. This filing was assessed with neutral market sentiment and an importance score of 8 out of 10.