Digital Arts
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Digital Arts (2326) investor relations material

Digital Arts Q4 2026 earnings summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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Q4 2026 earnings summary7 May, 2026

Executive summary

  • Contracts surged 57.1% year-over-year to ¥16,604 million, driven by strong demand in the public sector, especially Phase 2 of the GIGA School Concept, and higher project unit prices.

  • Net sales reached a record ¥10,835 million, up 8.5% year-over-year, with operating profit rising 5.1% to ¥4,791 million and profit attributable to owners of parent up 7.7%.

  • Cloud service product sales hit new highs, expanding the recurring revenue base.

  • The company launched new security and authentication products, including Z-FILTER and a-FILTER, and entered the school education business.

  • Investments in personnel and AI-driven operational efficiency supported both growth and profitability.

Financial highlights

  • Gross profit increased 6.6% year-over-year to ¥7,500 million, with a gross profit margin of 69.2%.

  • EBITDA rose 5.4% to ¥5,864 million.

  • ROE remained high at 19.2%, and equity ratio decreased to 66.1% due to increased advances received.

  • Advances received grew 91.1% to ¥7,800 million, reflecting strong contract growth.

  • Cash and cash equivalents at period end: ¥23,083 million, up ¥5,131 million from prior year.

Outlook and guidance

  • FY Mar. 2027 forecast: net sales of ¥12,000 million (+10.8%), operating profit of ¥5,400 million (+12.7%), ordinary profit of ¥5,505 million (+13.7%), and profit attributable to owners of parent of ¥3,770 million (+10.0%).

  • Focus on expanding enterprise sector, accelerating AI implementation, and increasing recurring revenue.

  • Dividend per share projected to rise to ¥100, marking the 13th consecutive annual increase.

Reasoning for FY27 contract forecast decline
High-touch sales shift for corporate end users
AI impact on SG&A and development efficiency
Impact of GIGA School cloud revenue recognition
AI strategy for improving operational efficiency
Z-FILTER market traction and profit timeline
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