True Data Inc.
4416・Growth Market・Information & Communication
Business
True Data Inc. upholds the corporate philosophy of "creating the future with data and wisdom," and operates a single-segment Data Marketing Business that standardizes and refines ID-POS data (aggregating approximately 65 million people) collected from nationwide retailers such as drugstores and supermarkets using proprietary technology, thereby supporting decision-making by consumer goods manufacturers, retailers, local governments, and others. Centered on its core SaaS offerings "Eagle Eye" (for consumer goods manufacturers) and "Shopping Scan" (for retailers), the company is expanding its service areas to include retail media, AI solutions, and store-opening forecasting, among others. Founded in 2000 as a strategic subsidiary of Mitsubishi Corporation, the company transitioned to its current management structure in 2012 and listed on the Tokyo Stock Exchange Growth Market in December 2021.
Business Model
Because the purchase database has the characteristic of not being consumed or depleted no matter how many times it is utilized across multiple customers and services, additional costs remain limited as stock-type contracts accumulate, and profit margins improve at an accelerating pace. Of the ¥1,870 million in net sales, manufacturer-oriented solutions account for ¥953 million, retail-oriented solutions for ¥510 million, and retail media and other for ¥408 million. Expanding sales channels through wholesale trading company partnerships with Itochu Corporation, Alfresa Healthcare, and Arata also supplements the revenue base.
Company Strengths
ID-POS data collected from drugstores, supermarkets, and other retailers nationwide reaches a combined scale of approximately 65 million people, forming one of the largest data ecosystems in Japan. Proprietary master data cleansing technology standardizes data of differing specifications, achieving rapid reporting that can detect purchases as recent as two days prior. The complexity of this refinement process is the source of the company's difficulty to imitate.
Core services such as Eagle Eye and Shopping Scan are provided primarily under annual-contract, stock-type models. As of the end of March 2026, the number of companies using Eagle Eye reached 180, with some cases of a single company utilizing approximately 500 IDs, confirming deep penetration and adoption across entire organizations. The structure is such that expansion of stock-type revenue leads to an accelerating improvement in profit margins.
In addition to the Privacy Mark for personal information protection systems, the company obtained certification under the international standard for information security management systems, ISO/IEC 27001:2022+Amd1:2024 (JIS Q 27001:2025), in October 2025. It has also already obtained DX Certified Business Operator certification (May 2023), building a framework that allows client companies to use its services with confidence.
ENVALITH's Perspective
Performance Trend
Revenue over the past five periods trended ¥1,314 million → ¥1,440 million → ¥1,593 million → ¥1,554 million → ¥1,870 million. FY2025 saw a temporary decline in revenue (-2.4%) and profit, but FY2026 achieved a substantial recovery with revenue of ¥1,870 million (+20.3% YoY), operating profit of ¥101 million (+109.6% YoY), and net income attributable to owners of parent of ¥80 million (+508.5% YoY). The main drivers were the vertical expansion of retail DX services and AI solutions for major retailers and the accumulation of contracted companies for Eagle Eye. As an external tailwind, the megatrend of corporate DX and AI adoption served as a supportive factor. Operating cash flow improved substantially to ¥189 million (versus ¥37 million in the prior period), securing a cash balance of ¥971 million. FY2027 is expected to see a decline in profit (operating profit of ¥80 million) due to upfront strategic investment, but the revenue growth trajectory is expected to continue.
Growth Strategy
Evolving into a 'decision-support company' through horizontal expansion leveraging the wholesale distributor partner network and AI-integrated high value-added offerings
Continuously accumulate contracted companies for the annual-contract SaaS to expand the recurring revenue base in scale. Steady accumulation of contracts has been confirmed in FY2026 (ending March 2026), and strengthening of the revenue base is progressing.
Through collaboration with Itochu Corporation, Alfresa Healthcare, and Arata Corporation, the company covers the three areas of food, pharmaceuticals, and daily necessities. By efficiently expanding the standardized data utilization infrastructure horizontally to mid-tier and small manufacturers, the company aims to accelerate the scale expansion of recurring revenue.
Commence data collaboration providing purchase segment data to the advertising solutions of SMN Corporation and MBK Digital. Through the implementation of evaluation metrics that span business formats and channels, the company aims to establish retail media as a new revenue pillar at an early stage.
Through strengthened collaboration with AI startups, develop and provide high value-added solutions that combine retail data with AI insights. This drives increases in customer unit price and acquisition of new customers, though upfront costs associated with operational refinement were also a factor behind the underachievement of the FY2026 (ending March 2026) plan.
Accelerate the evolution from the traditional 'data analytics company' into a 'decision-support company' that supports corporate decision-making. The company aims to establish itself as a decision-making infrastructure (OS) spanning offline and online. A certain increase in costs has already been factored in for FY2027 (ending March 2027) as a period of upfront strategic investment.
Last updated: July 19, 2026