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BNAIW

Brand Engagement Network, Inc.

BNAIW

Brand Engagement Network, Inc. NASDAQ
$0.05 -18.63% (-0.01)

Market Cap $35.04 M
52w High $0.07
52w Low $0.04
Dividend Yield 0%
P/E 0
Volume 5.91K
Outstanding Shares 685.68M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q3-2025 $60.12K $2.377M $-2.482M -4.128K% $-0.059 $-563.655K
Q2-2025 $5K $1.855M $905.08K 18.102K% $0.021 $1.902M
Q1-2025 $10K $3.225M $-3.61M -36.102K% $-0.09 $-2.546M
Q4-2024 $0 $3.641M $-17.958M 0% $-0.454 $-16.861M
Q3-2024 $50K $4.279M $-5.823M -11.646K% $-0.164 $-4.833M

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q3-2025 $102.715K $16.372M $12.919M $3.453M
Q2-2025 $20.356K $17.022M $11.297M $5.725M
Q1-2025 $236.229K $17.938M $14.626M $3.312M
Q4-2024 $149.273K $18.15M $15.505M $2.644M
Q3-2024 $72.878K $31.949M $14.198M $17.752M

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q3-2025 $-2.482M $-107.259K $-442.947K $632.565K $82.359K $-550.21K
Q2-2025 $905.08K $-2.609M $-31.238K $2.425M $-215.873K $-2.641M
Q1-2025 $-3.61M $-2.628M $-110.274K $2.825M $86.956K $-2.738M
Q4-2024 $-17.958M $-2.374M $-65.427K $2.515M $76.395K $-2.439M
Q3-2024 $-5.823M $-3.078M $-116.233K $1.836M $-1.359M $-3.194M

Five-Year Company Overview

Income Statement

Income Statement The company is essentially still pre‑revenue, with no meaningful sales reported over the last several years. At the same time, it is generating ongoing operating losses as it builds out its platform and team. Profitability that was slightly positive a few years ago has flipped to small but persistent losses more recently, suggesting a shift from experimentation to heavier investment mode. The key financial question is not margin management yet, but whether and when its technology and partnerships translate into recurring revenue streams that can cover its cost base.


Balance Sheet

Balance Sheet The balance sheet is very light, with only a modest level of assets and equity and no reported cash or debt in the data provided. Equity has been shrinking, indicating that accumulated losses have eroded the company’s capital cushion. This points to a thin financial buffer and a high dependence on external capital raises to fund operations. The absence of leverage reduces balance‑sheet risk from debt, but it also highlights that the company’s ability to grow depends heavily on continued access to financing rather than internally generated funds.


Cash Flow

Cash Flow Cash flow from operations has been mildly negative, and free cash flow is also negative, reflecting a classic early‑stage, cash‑burn profile. There is little to no spending on physical assets, which is typical for a software‑driven business, so most outflows are likely going to people, product development, and go‑to‑market efforts. The numbers suggest that even though the burn rate is not extreme in absolute terms, the company is not self‑funding and will need ongoing support from investors or other financing sources until it can scale revenue.


Competitive Edge

Competitive Edge On the strategic side, the company is trying to differentiate itself within conversational AI and customer engagement, an area crowded with both large tech platforms and specialized startups. Its focus on smaller, more efficient language models that run on standard hardware, combined with strong data‑privacy controls and compliance for regulated industries, creates a clear positioning: secure, controlled, and cost‑efficient AI for sensitive use cases. A sizable patent portfolio and emphasis on “walled garden” deployments add defensibility. However, limited commercial scale, rapid technological change, and intense competition from deep‑pocketed rivals remain significant challenges to establishing durable market share.


Innovation and R&D

Innovation and R&D Innovation is the core of the story. The company has built its own engagement‑focused language models and a retrieval‑augmented framework, wrapped in visually rich, avatar‑based customer interfaces. It is also investing in a platform (iSKYE) designed to make it easier for enterprises to deploy tailored AI agents, particularly in highly regulated or complex sectors like healthcare, finance, and insurance. The large number of granted and pending patents points to a deliberate effort to protect its technology. The main uncertainty is not the presence of innovation, but the pace at which that innovation can be commercialized and scaled into stable, recurring revenue.


Summary

Taken together, this looks like a very early‑stage AI infrastructure and engagement company with a technology‑heavy story and a very thin financial foundation. The financial profile is pre‑revenue with ongoing losses and negative cash flow, backed by a small asset and equity base and no visible debt. Strategically, the company is aiming at a clear niche—secure, compliant conversational AI with rich avatars and efficient models—and is building a moat through patents, specialized platforms, and partnerships. The opportunity lies in converting that innovation and positioning into meaningful commercial adoption; the main risks center on execution, funding needs, and competition in a fast‑moving AI landscape.