Brains Technology FY2026 Earnings Deep Dive: Revenue and Profit Growth Driven by Large-Scale Deals and Strategic Evolution into 'Industrial AI Agents' and 'Physical AI'

Executive Summary

Brains Technology Co., Ltd. (Ticker: 4075) reported its full-year financial results for the fiscal year ending July 2026, with revenue reaching 1,433 million JPY, a 14.1% increase year-on-year , marking the second consecutive year of record-high sales. On the earnings front, the company achieved significant profit growth, with operating profit rising 50.9% year-on-year to 250 million JPY (operating margin of 17.5%) and net profit increasing 44.2% to 192 million JPY . This performance was driven by the acquisition of large-scale perpetual licenses, rigorous cost control, and the optimization of personnel structure.

Building on its existing data search product " Neuron ES " and data analysis product " Impulse ," the company has recently launched " Industrial AI Agents " that integrate generative AI technology, as well as " Physical AI Implementation Support Services " for autonomous robot control. While leveraging the strengths of its high-margin software licensing model, the company is accelerating its expansion into the next-generation AI market.

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1. FY2026 Earnings Highlights: Record Revenue and Significant Profit Outperformance

For the fiscal year ending July 2026, revenue reached 1,433 million JPY, representing a 94.9% achievement rate against the initial plan of 1,510 million JPY. While slightly below the top-line target, the company significantly outperformed its initial profit projections at all levels.

Analysis of Financial Results and Profitability Drivers

As shown in the slide above, the FY2026 results are as follows:

• Revenue : 1,433 million JPY (+14.1% YoY, 94.9% of plan)
• Operating Profit : 250 million JPY (+50.9% YoY, 111.2% of plan)
• Operating Margin : 17.5% (+4.3pt YoY, +2.6pt vs. plan)
• Ordinary Profit : 255 million JPY (+53.0% YoY, 112.9% of plan)
• Net Profit : 192 million JPY (+44.2% YoY, 119.6% of plan)
• EBITDA : 469 million JPY (+22.1% YoY, EBITDA Margin 32.8% )

The shortfall in revenue against the plan was primarily due to project delays caused by hardware procurement issues (semiconductor shortages) at customer sites. Conversely, profitability improved significantly; the operating margin jumped to 17.5% due to the postponement of office relocation, a slight reduction in headcount through selective hiring (from 73 at the end of the previous year to 70), and the contribution of high-margin large-scale projects. EBITDA, a key indicator of cash-generating capability, remained at a very high level of 469 million JPY (32.8% margin) .

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2. Revenue Composition and Licensing Trends: Surge in Perpetual Licenses and Stock Foundation

The company's revenue is composed of three segments: "Stock (Subscription/Maintenance)," "Perpetual (One-time License)," and "Implementation (Integration/Development)."

Revenue Structure and Licensing Trends

Key takeaways from the revenue composition slide include:

• Rapid Growth in Perpetual Revenue : Driven by the acquisition of large-scale perpetual licenses, this segment grew by 111.5% year-on-year , more than doubling.
• Maintenance of Software Revenue Ratio : The software revenue ratio remained high at 68.2% , upholding a scalable business model that does not rely on labor-intensive, man-month-based services.
• Stock Revenue Trends : Although there was a temporary dip in the 2Q and 3Q due to some cancellations and shifts to perpetual licenses, the segment remained resilient on a full-year basis, with a gradual return to an upward trend expected.

By the end of the fiscal year, the total number of software licenses reached 487 , with a net increase of 37 new perpetual licenses and 7 stock licenses. Large-scale deployments for public and local government sectors bolstered the growth in perpetual licenses. Notably, as existing customers upgrade, the average license price has risen, leading to profitability improvements that exceed the growth in license count alone.

Churn Rate and Seasonality

Monthly churn rate dropped to 1.2% in the fourth quarter as the year-end contract reviews of companies with March fiscal year-ends concluded. While there is a tendency for revenue to be skewed toward the client's fiscal year-end (March/September), annual churn control remains stable. Furthermore, the company exhibits seasonality with revenue concentrated in the second half (particularly 4Q); 4Q revenue reached 442 million JPY, a 41.3% increase year-on-year , marking a record high on a quarterly basis.

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3. Cost Structure, Profitability, and Financial Foundation

Cost Structure and High Marginal Profitability

Because the company's business model is centered on software licensing, it features extremely low variable costs linked to revenue. Revenue growth exceeding fixed costs, such as personnel expenses, drops directly to operating profit. In the fourth quarter alone, despite increased upfront investments in R&D for next-generation AI, communication costs, and travel expenses for on-site implementation, the quarterly operating profit reached 118 million JPY (26.7% quarterly operating margin) , demonstrating exceptional profitability.

Robust Balance Sheet

Financial stability remains high as of the fiscal year-end:

• Total Assets : 2,360 million JPY (+303 million JPY YoY)
• Current Assets : 1,919 million JPY (Ensuring liquidity primarily through cash and deposits)
• Net Assets : 1,847 million JPY (Accumulation of 192 million JPY in net profit)
• Equity Ratio : 78.2%

With minimal reliance on interest-bearing debt and an equity ratio of approximately 80%, the company maintains a solid financial position, providing the flexibility to invest in R&D and service expansion.

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4. Mid-to-Long-Term Growth Strategy: Expansion into Generative AI Agents and Physical AI

Brains Technology is leveraging the expertise gained from its search engine " Neuron ES " and its manufacturing-focused anomaly detection/factor analysis tool " Impulse " to accelerate the deployment of practical solutions in the generative AI era.

1. Deployment of Industrial AI Agents

As shown in the slide above, the company is evolving from simple "generative AI that answers questions (chat tools)" to " systems that autonomously recognize, judge, execute, and report " by incorporating on-site expertise and operational procedures.

• Manufacturing/Production Sites : Cross-analyzing equipment data, quality data, and past trouble logs to automatically suggest root causes and specific countermeasures.
• Construction/Infrastructure Maintenance : Cross-referencing specifications and inspection records to perform preliminary assessments, urgency judgments, and report generation.
• Knowledge Work : Automating the creation of evidence-based answers by searching across scattered internal regulations and technical documents.

The company employs a "Forward Deployed Engineer" approach, where its engineers work closely with customers to provide end-to-end support from on-site implementation to operational integration.

2. Neuron ES as a Generative AI Hub (MCP Support)

"Neuron ES" has evolved into a context information foundation (supporting MCP: Model Context Protocol) that allows Large Language Models (LLMs) to reference internal corporate knowledge. By integrating with front-ends like Microsoft Copilot, ChatGPT, and Gemini, it enables secure knowledge utilization while maintaining access controls and information freshness.

3. Physical AI and Robot Implementation Support Services

Building on the track record of "Impulse," the company provides autonomous control AI that is independent of specific robot models or manufacturers , including industrial robots, collaborative robots, quadrupedal robots, and humanoids. By processing multimodal data such as camera footage, 3D distance information, and force sensors, the company is establishing a position as an integrator that generates autonomous actions tailored to specific situations.

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5. Summary and Future Outlook

In FY2026, Brains Technology achieved significant profit growth (operating profit +50.9%) through revenue growth driven by large-scale perpetual licenses, high marginal profit margins, and disciplined cost management. With a robust financial foundation and an equity ratio of 78.2% , the company has ample room for growth.

Key points to watch in future business progress include:

1. Re-acceleration of Stock Revenue : Sustained expansion of stock revenue through maintenance and upselling to customers acquired via perpetual licenses.
2. Monetization Speed of AI Agents and Physical AI : How quickly the "Industrial AI Agent" and robot support services, launched in August, will contribute to revenue.
3. Balance Between Talent Acquisition and R&D Investment : Whether the company can maintain high profit margins (17% range) while simultaneously securing next-generation AI engineers and investing in R&D.

We will continue to monitor how the synergy between the company's stable existing software foundation and the high-growth markets of generative AI and robotics unfolds.