<div id="readability-page-1">Money Markets Too Soon To Buy Datavault Stock?  ByTrefis Team ,  Contributor.  Forbes contributors publish independent expert analyses and insights. Building a platform to do the job of 1 million analysts for  Great Speculations Follow Author Dec 02, 2025, 05:30am EST Share Save Comment  CHONGQING, CHINA NOVEMBER 20: In this photo illustration, a smartphone displays the logo of Datavault AI Inc. (NASDAQ: DVLT), a U.S.-listed company focused on AI-driven data monetization and real-world-asset technologies, in front of a screen showing the company's latest stock market chart on November 20, 2025, in Chongqing, China. (Photo illustration by Cheng Xin/Getty Images) Getty Images Datavault AI (NASDAQ: DVLT) — a company that operates at the intersection of AI, data management, and Web3 — has experienced an increase of nearly 18% in its stock over the past week, despite being down more than 23% for the last month. For the year, shares have remained relatively stable. This rally indicates a growing investor confidence that the company is finally making progress on its Real World Asset (RWA) roadmap after years of establishing technical foundations.  Rather than choosing individual stocks, it is wiser to create a portfolio that is intended to succeed across different cycles. Our data indicates that the High Quality Portfolio has transformed the uncertainty of stock selection into consistent market-beating performance.  Overview of the Company  The firm offers tools to convert real-world assets (such as energy projects, mining resources, and commodities like gold and copper) and enterprise data into tokenized, tradable digital products via blockchain technology. It changes physical/traditional assets — including real estate, commodities, mining rights, invoices, carbon credits, royalties, and enterprise data — into blockchain-based tokens. Once tokenized, the assets can trade globally, 24/7, and ownership can be fractional. Furthermore, tokenized assets gain liquidity and programmability, and smart contracts can generate automated royalties or yields.  The company's ecosystem encompasses:  Tools that assess and safeguard data — AI systems that analyze, score, and secure enterprise data for safe usage or monetization.  Infrastructure for tokenization — Blockchain and Web3 frameworks that facilitate the conversion of physical assets, such as energy projects, mines, or real estate, into digital tokens.  DataScore — a platform that visualizes data, creates digital twins, and prepares assets for tokenization, simplifying the understanding of what businesses own and how it can be digitized.  High-performance computing (HPC) which provides the necessary power to operate data exchanges, process large datasets, and support extensive global tokenization activities.  DVLT’s business model focuses on generating licensing royalties and transaction fees from assets tokenized on its platform. The company positions itself as the foundational layer — the “rails” — for enterprise tokenization, earning revenue each time assets transition through its system. Its income sources consist of upfront fees, perpetual royalties linked to the value or volume of tokenized asset flows, and ongoing transaction fees from activities on its data exchanges.  Reasons Behind the Stock Surge?  Several factors have contributed to the gains. DVLT secured two significant commercial contracts — Triton Geothermal and MTB Mining — collectively valued at over $15 million. Both agreements include perpetual royalty streams associated with tokenized asset flows, providing concrete evidence that DVLT’s intellectual property can produce recurring, high-margin revenue. Triton’s agreement alone exceeds $8 million, with a 5% perpetual royalty on a planned $125 million geothermal token issuance, while MTB’s $7 million contract deals with the tokenization of copper deposits.  MORE FOR YOU The firm has also bolstered its financial standing by completing the second tranche of its strategic equity financing. The additional liquidity, including contributions in Bitcoin, alleviates near-term cash pressures and supports the HPC development necessary for managing global data exchanges and RWA platforms. This action has reduced a significant financial burden and enhanced investor confidence.  Lastly, management reported an increasing interest from enterprises spanning energy, mining, biotech, and real estate sectors. Although these discussions have not yet translated into revenue, their scale and diversity suggest that the recent contracts are not mere isolated successes. The market interpreted this momentum as early indication that DVLT’s tokenization model could scale on an international level.  Financial Performance and Valuation  DVLT is trading at a high valuation, with a price-to-sales ratio nearing 10x, compared to approximately 3x for the wider market. Yet, its current fundamentals do not warrant such a premium. Q3 revenue stood at $2.9 million, while the company reported a net loss of around $33 million, and financial stability remains precarious with only about 1% of assets held in cash, while debt levels are high relative to market value.  Margins are extraordinarily weak. Operating margin hovers around –754%, and net margin is close to –1,310%, alongside significantly negative cash flow. These figures highlight how fragile the underlying business is currently and underscore the execution risk incorporated in the stock’s valuation.  One clearly positive aspect is growth. Revenue has increased by 148% year over year and more than 400% in the most recent quarter. This momentum, combined with management’s ambitious FY 2026 revenue forecast of over $200 million, a fourfold upward revision, accounts for why the market is willing to overlook today’s losses. DVLT remains a precarious endeavor: high ambition, high leverage, and high uncertainty. The stock is valued not on what the company is, but on what it asserts it can become — and its future hinges on converting its patents, early contracts, and HPC infrastructure into real, repeatable, scaled revenue before time and capital exhaust themselves.  The Trefis High Quality (HQ) Portfolio , comprised of 30 stocks, has a history of consistently outperforming its benchmark, which includes all three indices – the S&amp;P 500, S&amp;P mid-cap, and Russell 2000. What contributes to that? As a collective, HQ Portfolio stocks have delivered superior returns with reduced risk compared to the benchmark index; resulting in less volatility, as evidenced in HQ Portfolio performance metrics .  Editorial Standards Reprints &amp; Permissions LOADING VIDEO PLAYER... FORBES’ FEATURED Video</div>

DVLT

<p>Datavault AI（纳斯达克代码：DVLT）股价上涨了 18%，这得益于投资者对其真实世界资产路线图的信心。尽管估值较高且财务状况疲弱，包括第三季度净亏损 3300 万美元，但该公司获得了超过 1500 万美元的合同，提升了收入潜力。其代币化模型在各个行业中引起了关注，显示出可扩展性。然而，由于高负债和低现金储备，财务稳定性仍然是一个问题</p>

现在购买 Datavault 股票是否为时过早？