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DVLT — Datavault AI News Story

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Datavault AI Q2 revenue soars on commercialization of monetization, tokenization platforms

Datavault AI Q2 revenue soars on commercialization of monetization, tokenization platforms


Overview

  • US AI platform's Q2 revenue rose 287% yr/yr

  • Company reiterated full-year 2026 revenue target of at least $200 mln

  • Company completed NYIAX acquisition and entered agreement to acquire CyberCatch


Outlook

  • Datavault AI reiterates full-year 2026 revenue target of at least $200 mln

  • Company says focus for H2 2026 is on launching exchanges and scaling infrastructure


Result Drivers

  • PLATFORM COMMERCIALIZATION - Co said revenue growth was driven by progress in assembling and integrating technology and infrastructure to support commercialization of its data monetization and tokenization platforms

  • ACQUISITIONS AND PARTNERSHIPS - Co said completion of NYIAX acquisition and agreement to acquire CyberCatch, as well as collaborations with Fiserv and Available Infrastructure, contributed to building out its integrated technology ecosystem

  • NEW REVENUE STREAMS - Co cited expanded sports and entertainment monetization initiatives and new patent license revenue as contributors to Q2 growth


Company press release: ID:nBw1kN08Ja


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Miss

$6.72 mln

$30.25 mln (2 Analysts)

Q2 Loss Per Share

$0.12


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the it services & consulting peer group is "buy"

  • Wall Street's median 12-month price target for Datavault AI Inc is $2.50, about 546.5% above its August 18 closing price of $0.39


For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.


(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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