Results for this period
Third quarter1 October 2025 to 30 June 2026ConsolidatedJapanese GAAPThe width of the band at each stage is based on revenue. The narrower it becomes toward the bottom, the smaller the proportion of revenue that remains as profit. The dotted outline is the full-year forecast and the band inside it is the result for this period. The progress rate is the result divided by the forecast.
塗りつぶした部分が自己資本比率です。総資産のうち、返済のいらない自前の資金がどれだけかを表します。The thin vertical line indicates the level at the end of the previous fiscal year.
The company captured solid customer demand for DX investment, acquiring new customers and expanding sales. Productivity among front-line personnel improved through the use of generative AI and other measures, while personnel expenses and recruitment and training costs were contained.
No applicable matters
| Item | Details |
|---|---|
| Fiscal Period Classification | Third quarter |
| Accounting standards | Japanese GAAP |
| Consolidated / non-consolidated | Consolidated |
| Period Covered | 1 October 2025 to 30 June 2026 |
| Net Sales | ¥1,911 million (YoY +38.8%) |
| Operating profit | ¥245 million (YoY +85.7%) |
| Ordinary income | ¥249 million (YoY +93.8%) |
| Profit attributable to owners of the parent | ¥176 million (YoY +150.0%) |
| Net income per share | ¥11.05 |
| Equity ratio | End of the current fiscal period 90.4 / End of previous period 90.6 |
| Total assets | ¥3,023 million |
| Net assets | ¥2,734 million |
| Cash and cash equivalents at end of period | ¥2,321,427 thousand |
| Full-year earnings forecast | Net Sales ¥2,578 million (YoY +35.7%) / Operating profit ¥380 million (YoY +98.6%) / Ordinary income ¥384 million (YoY +131.2%) / Net income ¥268 million (YoY +83.0%) |
| Revision to Earnings Forecast | Not disclosed → Net Sales 2,578 / Operating profit 380 / Ordinary income 384 / Net income 268(Net Sales 4 / Operating profit 29 / Ordinary income Not disclosed / Net income Not disclosed) |
| Annual Dividend Forecast | ¥0 → ¥0(0.0%) |
| Segment revenue | Segment Custom AI Solutions Business / Net Sales ¥1,884,667 thousand / yoy_pct ¥37.6 thousand, Segment Systems development business / Net Sales ¥58,768 thousand / yoy_pct Not disclosed |
| Segment profit | Segment Custom AI Solutions Business / Segment profit ¥248,998 thousand / yoy_pct ¥35.3 thousand, Segment Systems development business / Segment profit ¥-3,966 thousand / yoy_pct Not disclosed |
| Depreciation and amortization | ¥34,784 thousand |
| Impairment loss | No applicable matters |
| Breakdown of extraordinary income (loss) | No applicable matters |
| Disclosure regarding the going concern assumption | No applicable matters |
| Change in accounting policy | Changes due to revisions to standards No / Other changes No / Change in accounting estimate No / Restatement No |
| Changes in the scope of consolidation | New 0 companies / Excluded 0 companies / Company name None |
| Availability of Supplementary Financial Results Materials | Yes |
| Availability of Financial Results Briefing | Whether applicable Yes / Subject person Institutional investors and analysts / Scheduled date 17 August 2026 |
| Issued Shares at Period-End | 15,948,051 shares |
| Treasury Shares at Period-End | 38 shares |
| Factors Behind Changes in Business Performance | The company captured solid customer demand for DX investment, acquiring new customers and expanding sales. Productivity among front-line personnel improved through the use of generative AI and other measures, while personnel expenses and recruitment and training costs were contained. |
Items this document does not state (9)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.The company expects personnel expenses and recruitment and training costs to come in below plan because it has captured solid customer demand for DX, expanded sales through the acquisition of new customers, and improved the productivity of front-line personnel through the use of generative AI and other measures, making it possible to achieve the planned revenue with fewer employees than anticipated.