Key Earnings Metrics

Base entered FY2026 coming off record FY2025 revenue of ¥21.7 billion and a 26.4% operating margin, making the H1 decline a sharp departure from its post-listing track record of uninterrupted double-digit growth. The company held its full-year guidance, betting that Q3 countermeasures will offset the H1 shortfall.

• FY2025 revenue: ¥21.7 billion ($137.5 million), record level. This established a high baseline that made the H1 decline more visible and raised the bar for full-year delivery.
• FY2025 operating margin: 26.4%. A best-in-class figure for Japanese mid-cap IT services, now under pressure from sub-95% utilization and elevated SG&A.
• FY2026 H1 revenue: below prior-year level, first decline since listing. The drop was concentrated in Q1, when the six-division reorganization disrupted customer-facing proposal activity.
• Utilization rate: below the 95% target during H1 FY2026. Base treats 95% utilization as one of its two foundational operating metrics; missing it directly compressed gross margin.
• AI-related revenue: a few percent of total sales. Management targets double-digit share within two to three years, with AI work generating higher unit pricing than conventional systems engineering.
• AI reskilling: approximately 100 engineers trained by end of H1. Training is now expanding company-wide, reflecting a build-rather-than-buy talent strategy given scarce AI engineer supply.

Management Commentary

Senior Executive Officer Toru Aoyagi framed the H1 result as a self-inflicted disruption rather than a demand problem. The January 2026 shift from four divisions to six, plus the creation of a new AI Promotion Office, pulled the heads of Divisions 1 through 4 into company-wide roles and forced lengthy customer handovers.

Aoyagi acknowledged that the restructuring consumed internal energy, broke established communication patterns, and created confusion in the chain of command. While the impact was budgeted, management underestimated how long the Q1 ramp-up would take.

He attributed the revenue decline to two factors: gross margin erosion from sub-95% utilization, and rising SG&A. Both are operational levers Base has historically controlled tightly, which is why the miss drew sharp analyst scrutiny.

When challenged on whether the slowdown reflects a structural problem, Aoyagi conceded that growth over the past two years had been limited to around 10%, and that falling below prior-year revenue this quarter validated the concern. He distinguished the current disruption from last year's stagnation, which stemmed from deploying top engineers to troubled projects.

On AI demand, Aoyagi reported inbound interest from multiple directions, including direct inquiries from operating companies and referrals through major systems integrators. He noted that AI domain work generates more profit per unit than conventional SE engagements.

Addressing the fear that AI could compress timelines and revenue, Aoyagi observed a counterintuitive dynamic: for simple systems, AI does shorten development cycles, but the scarcity of AI engineers and their excessive workloads mean faster turnaround is actually increasing revenue. For core and mission-critical systems, customers remain cautious about AI adoption, limiting near-term revenue pressure.

Aoyagi emphasized that AI will not eliminate Base's role, arguing that engineers working closest to the customer will remain indispensable. This aligns with the company's stated focus on the last mile—requirements definition and maintenance operations where customer touchpoints are highest.

Strategic Implications

The restructuring was not cosmetic. Moving from four to six divisions and standing up an AI Promotion Office reflects a deliberate shift in how Base wants to capture demand. The short-term cost was a broken sales cadence; the intended long-term benefit is deeper specialization and a dedicated AI go-to-market engine.

Countermeasures now in motion include concentrating sales and engineering resources on the top 10 revenue-generating customers, accelerating the sales PDCA cycle, and pushing aggressively on AI-related deals. Aoyagi disclosed that internal data shows deal count and order values beginning to exceed prior-year levels, though these have not yet flowed through to recognized revenue.

Under the quasi-delegation contract model, the lag from order receipt to revenue recognition runs roughly one and a half to two months. That timing underpins management's confidence in a Q3 recovery: if Q2 orders are already improving, Q3 revenue should reflect it.

The medium-term plan, BASE2030, targets a fundamental business model shift. Base aims to reduce contract development (SI) from 70% of revenue to 50%, while raising solution services from 30% to 50%. The stated goal is to move from a labor-intensive to a knowledge-intensive model, transforming Base from a manufacturing-style IT shop into an IT services base.

AI is central to this transition. With AI revenue at a few percent today and a double-digit target within two to three years, the reskilling of 100 engineers in H1 is the first measurable step. The decision to build rather than hire reflects real market constraints: AI engineers are scarce, and lateral hiring at scale is impractical for a firm of Base's size.

The higher unit economics of AI work matter for margin preservation. If Base can shift even a modest portion of revenue toward AI-engaged projects while maintaining utilization above 95%, the 26.4% operating margin profile becomes defensible rather than a peak.

On capital allocation, Base is committing to a roughly 50% payout ratio until operating profit reaches ¥10 billion ($63.4 million), a no-reduction pledge on the beginning-of-year dividend forecast regardless of performance, and a high total payout ratio in the upper 70% range. A 30th-anniversary commemorative dividend is included this year, and similar factors will be considered next year.

Shareholder base expansion has been aggressive. IR outreach drove the count from roughly 5,000 at the start of the year to just under 13,000, with trading volume about double the prior-year average. This broadens the investor base but also raises the stakes for delivering on the unchanged full-year forecast.

Client diversification is progressing. Beyond long-standing relationships with Fujitsu—Base's first customer since founding, which held a 10% stake until its 2023 sale—and Mizuho Securities as lead underwriter, new operating-company clients have been increasing since the start of 2026. Direct transactions with operating companies are a stated growth vector under BASE2030.

What to Watch Next

I would watch four things over the next two quarters:

• Q3 revenue recovery. If the one-and-a-half to two-month revenue recognition lag holds, Q3 should reflect the Q2 order improvement Aoyagi cited internally. A miss here would undermine the unchanged full-year forecast.
• Utilization rate return to 95%. This is the single most important operating lever for gross margin. Without it, the 26.4% operating margin profile is not reproducible even if revenue recovers.
• AI revenue trajectory. Starting from a few percent of sales, any measurable step toward double digits by end of FY2026 would validate the reskilling program and the AI Promotion Office's go-to-market effectiveness.
• SI-to-solution revenue mix shift. The BASE2030 target of moving SI from 70% to 50% and solutions from 30% to 50% is a multi-year structural change. Early movement in contract mix would indicate whether the six-division structure is actually enabling the pivot.

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