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DVLT

Datavault AI Inc.

DVLT

Datavault AI Inc. • NASDAQ
$2.00 ▼ -5.87% (-0.13)
Market Cap $571.86 M
52w High $4.10
52w Low $0.25
Dividend Yield 0%
P/E -5.57
Volume 22.78M
Outstanding Shares 285.22M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q3-2025 $2.904M ▲ $14.851M ▲ $-32.976M ▲ -1.136K% ▲ $-0.33 ▲ $-29.347M ▼
Q2-2025 $1.735M ▲ $12.494M ▲ $-37.116M ▼ -2.139K% ▼ $-0.54 ▼ $-17.583M ▼
Q1-2025 $629K ▼ $9.5M ▲ $-9.563M ▼ -1.52K% ▼ $-0.18 ▲ $-7.11M ▼
Q4-2024 $902K ▼ $6.554M ▲ $-6.359M ▼ -704.989% ▼ $-0.28 ▲ $-6.321M ▼
Q3-2024 $1.172M $5.469M $-5.092M -434.471% $-1.39 $-5.232M

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q3-2025 $9.831M ▲ $138.658M ▲ $39.15M ▼ $99.508M ▲
Q2-2025 $662K ▲ $120.69M ▲ $46.621M ▲ $74.069M ▼
Q1-2025 $171K ▼ $95.673M ▼ $13.987M ▼ $81.686M ▼
Q4-2024 $3.33M ▼ $100.625M ▲ $14.899M ▲ $85.726M ▲
Q3-2024 $3.921M $8.017M $3.722M $4.295M

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q3-2025 $-32.976M ▼ $-10.373M ▼ $0 ▲ $11.394M ▼ $1.021M ▲ $-10.373M ▼
Q2-2025 $-1K ▲ $-6.807M ▼ $-5.5M ▼ $12.798M ▲ $491K ▲ $-6.807M ▼
Q1-2025 $-9.563M ▼ $-6.024M ▼ $-1.052M ▲ $3.917M ▼ $-3.159M ▼ $-6.076M ▼
Q4-2024 $-6.359M ▼ $-4.25M ▼ $-1.206M ▼ $4.865M ▲ $-591K ▲ $-4.356M ▼
Q3-2024 $-5.092M $-4.231M $-181K $2.22M $-2.192M $-4.239M

Revenue by Products

Product Q4-2024Q1-2025Q2-2025Q3-2025
Components
Components
 $0 ▲$0 ▲$0 ▲$0 ▲
Consumer Audio Products
Consumer Audio Products
 $0 ▲$0 ▲$0 ▲$0 ▲
Live Events
Live Events
 $0 ▲$0 ▲$0 ▲$0 ▲

Five-Year Company Overview

Income Statement

Income Statement Datavault AI looks essentially like a pre‑revenue technology platform rather than an operating business at this stage. Reported sales have been negligible over the last several years, and gross profit is effectively zero, which means the company has not yet turned its technology into a meaningful, recurring revenue stream. Operating losses have been steady and persistent, reflecting ongoing spending on development, overhead, and public company costs without matching income. Net losses have recently widened, partly driven by financing and accounting effects as well as the small size of the business. Earnings per share figures look extremely large in absolute terms, but that is mostly a byproduct of repeated reverse stock splits rather than a sudden change in the underlying business scale. Overall, the income statement tells the story of a company still in build‑out mode: ideas and patents in place, but commercial traction and profitability still to be proven.

Balance Sheet

Balance Sheet The balance sheet is very small and thinly capitalized. Total assets are modest, and cash on hand is limited, leaving a narrow financial cushion to fund operations. Equity is positive but slim, reinforcing that the company does not have a large capital base to absorb ongoing losses. Debt has appeared on the books more recently, which adds financial obligations on top of already tight resources. The combination of minimal assets, limited cash, and continuing losses is consistent with the prior auditor warnings about the company’s ability to continue as a going concern. In simple terms, the balance sheet shows a fragile financial position that depends heavily on continued access to outside funding or a rapid improvement in business performance.

Cash Flow

Cash Flow Cash flow from operations has been consistently negative for multiple years, which is typical for an early‑stage tech platform but still a key risk. The company is spending cash to keep the business running and to develop its technology, while incoming cash from customers remains very small. On the positive side, capital spending has been minimal, so the cash burn is primarily from operating expenses rather than heavy investment in physical assets. Free cash flow is still clearly negative, meaning the business is not self‑funding and relies on new financing or equity issuance to survive. Repeated reverse stock splits and the history of potential delisting risk underscore that raising capital may not always be easy or cheap, which amplifies the importance of improving operating cash flow over time.

Competitive Edge

Competitive Edge Datavault AI’s competitive story is built around patents and niche focus rather than scale. It operates in crowded arenas—AI, data monetization, Web 3.0, tokenization, and audio technologies—where it faces enormous, well‑funded competitors like major cloud and software companies. Its edge lies in a sizable patent portfolio around data valuation, tokenization, and smart contracts, plus proprietary platforms like its Information Data Exchange and acoustic data‑over‑sound technology. Strategic relationships, such as its IBM partnership and cross‑licensing with NYIAX, add credibility and could help reach enterprise clients without building everything alone. However, patents and partnerships by themselves do not guarantee market share. The company still needs to show that customers will adopt its exchanges and platforms at scale, and that it can carve out defensible niches against much larger players who may move into the same areas. Execution risk here is very high: strong concepts, but commercialization is largely unproven.

Innovation and R&D

Innovation and R&D Innovation is the clear strong point of Datavault AI’s story. It is trying to combine AI, blockchain, and data tokenization into an integrated platform that lets organizations value, manage, and trade both digital and real‑world assets. Key elements include: a data exchange platform with built‑in tools to score and price data; a wallet and banking‑style layer for tokenized assets; and Sumerian technology to create digital twins that tie physical items—like minerals or other real assets—to immutable blockchain records. The company also owns audio‑related technologies, including wireless audio standards and systems that transmit data via sound, which could support proximity‑based or secure data transfer use cases. On top of this, Datavault AI is planning multiple specialized exchanges (for elements, NIL rights, general information, and political contributions) and exploring high‑margin licensing of its smart contract and tokenization patents into sectors like healthcare and supply chains. The “Quantum Web 3.0” and supercomputing initiatives suggest further ambition. The main question is not whether the company is inventive—it clearly is—but whether it can translate this innovation pipeline into repeatable, scalable products with paying customers before its financial resources run thin.

Summary

Datavault AI is a highly speculative, innovation‑driven company with a sophisticated technological vision but very limited current business scale. Financially, it remains pre‑revenue in practical terms, with persistent operating and net losses, a very small asset base, and ongoing negative cash flow. The balance sheet is thin, and the firm has previously drawn going‑concern warnings, pointing to real survival risk if new capital or meaningful revenues do not materialize. Strategically, the company is attempting to build a differentiated position at the intersection of AI, tokenization, and data exchanges, reinforced by a large patent portfolio and select partnerships with established players. Its dual focus on data and acoustic technologies, plus its planned specialty exchanges and licensing model, offers multiple potential paths to monetization. The overall picture is a sharp contrast: ambitious technology and intellectual property on one side, and fragile financial fundamentals and execution risk on the other. Future outcomes are likely to depend on whether Datavault AI can convert its patents and prototypes into real, recurring customer demand quickly enough to overcome its constrained financial runway.

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