True Data (4416) Q1 FY2027 Earnings Deep Dive: Steady Expansion of Recurring Revenue and Progress in Growth Investments

1. Q1 FY2027 Earnings Summary

True Data Inc. (Securities Code: 4416) reported its financial results for the first quarter of the fiscal year ending March 31, 2027 (April–June 2026), with net sales of 489 million yen (+19.4% YoY) , operating profit of 12 million yen (+13.0% YoY) , ordinary profit of 13 million yen (-12.4% YoY) , and quarterly net profit of 6 million yen (-64.1% YoY) .

While the company's initial forecast for Q1 anticipated an operating loss due to upfront investment costs, the company achieved an operating profit that exceeded expectations . This was driven by the accumulation of recurring-type contracts, including "FOODATA," a collaborative service with ITOCHU Corporation, as well as the deferral of certain expenses.

Performance is being driven by the company's revenue foundation, recurring-type solutions , which grew steadily to 440 million yen (+26.4% YoY, +8.6% QoQ) . Meanwhile, sales from spot-type solutions, such as one-off consulting projects, remained at 49 million yen (-19.8% YoY). However, this is considered to be in line with expectations, as revenue recognition for large-scale projects is planned to be concentrated in Q2 and Q4.

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2. Performance Trends by Service and Key KPIs

The following shows the revenue trends by service and the status of key KPIs.

The slide above illustrates the quarterly revenue trends by service (left graph) and the growth in the number of installations, a key KPI for manufacturer-oriented solutions (right graph).

Key Topics in Revenue by Service:

1. Recurring-type | Manufacturer Solutions : Revenue grew to 266 million yen (+15.6% YoY) . The number of installations, a key KPI, surpassed the 200-company milestone, reaching 201 companies (a net increase of 21 from the end of the previous quarter) . This is primarily due to the smooth accumulation of new contracts for "FOODATA ID-POS," a product developed in collaboration with ITOCHU Corporation, at the beginning of the fiscal year.
2. Recurring-type | Retail Solutions : Revenue reached 117 million yen (+118.5% YoY) , achieving rapid growth of approximately 2.2 times compared to the same period last year. The implementation support for data visualization and analysis tools (such as "Shopping Scan") for large and mid-sized retailers is accumulating steadily.
3. Recurring-type | Retail Media & Others : Revenue was 56 million yen (-12.1% YoY) , but showed signs of bottoming out, with an increase from the previous quarter (53 million yen).
4. Spot-type Revenue : Revenue was 49 million yen (-19.8% YoY) . As the plan for the fiscal year ending March 2027 is weighted toward Q2 and Q4, the Q1 result is within the normal range.

Visualization of Cost Structure and Profit Margins:

Starting this fiscal year, the disclosure breakdown has been revised, with system-related expenses (120 million yen) now reported independently. While system costs, such as cloud infrastructure fees, increased due to the expansion of retail services, outsourcing costs (85 million yen in labor and outsourcing expenses) were contained due to the decrease in spot projects. As a result, gross profit was 250 million yen (+1.4% YoY) , maintaining a gross profit margin of 51.2% .

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3. Business & Partnership Topics and Ecosystem Formation

True Data leverages its foundation of 10 trillion yen in annual retail data from 65 million active members nationwide, strongly promoting the integration with AI solutions ( Retail Data × AI Insights ). Several notable initiatives were announced during this quarter.

① Launch of "Price Simulation Service" in Collaboration with SAS (USA)

For consumer goods manufacturers, the company launched an optimal pricing and demand forecasting simulation service incorporating a prediction system based on SAS's "SAS Viya." Amid rising raw material and logistics costs, this service allows companies to objectively calculate the impact of price changes on demand and brand switching using their own and competitors' ID-POS data when making "price hike" decisions.

② Strengthening the Retail Media Domain via Partnership with FreakOut

True Data has begun integrating its advertising purchase segment data with "Red," a DSP provided by ad-tech leader FreakOut (which generates over 850 billion impressions per month). This not only enables highly accurate delivery targeting under third-party cookie restrictions but also establishes a system for end-to-end verification of "purchase lift effects" (the impact of ads on actual purchases) in offline stores.

③ Expansion of Collaborative Networks (Wholesalers & Ad Platforms)

Beyond direct sales, the company is expanding its products horizontally by leveraging a network of massive wholesale partners such as ITOCHU Corporation, Alfresa, and Arata . Furthermore, it is sequentially expanding data integration with major retail media and advertising network players, including Hakuhodo DY ONE, SMN, MBK Digital, and FreakOut , thereby solidifying its positioning as a data platform.

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4. Full-Year Plan for FY2027 and Progress Evaluation

The full-year plan for the fiscal year ending March 2027 and its progress are as follows.

This slide summarizes the progress as of Q1 against the full-year plan for FY2027 and the outlook for revenue and expenses in the coming quarters (Q2–Q4).

Overview of Full-Year Performance Plan:

• Net Sales : 2,200 million yen (+17.6% YoY)
• Gross Profit : 1,122 million yen (+7.0% YoY)
• Operating Profit : 80 million yen (-21.3% YoY)
• Ordinary Profit : 78 million yen (-27.6% YoY)
• Net Profit : 63 million yen (-21.4% YoY)

Q1 Progress Rate and Future Quarterly Outlook:

• Net Sales Progress Rate : 22.3% (489 million yen / 2,200 million yen)
• Operating Profit Progress Rate : 15.6% (12 million yen / 80 million yen)

Although the numerical progress rate is below the 25% benchmark, the company evaluates the progress as "steady and in line with the plan." The background for this includes the following quarterly characteristics and measures:

• Q2 (July–September) : Planned recognition of spot revenue related to additional development for large retail solutions (scheduled for September). The company plans to secure an operating profit, supported by the accumulation of recurring revenue.
• Q3 (October–December) : In addition to further accumulation of recurring revenue, spot revenue from the delivery of AI solutions for specific manufacturers will be recognized.
• Q4 (January–March) : The peak of recurring revenue and the recognition of additional development spot revenue for large retailers will coincide, creating a structure where more than half of the full-year operating profit is earned in Q4 .

Furthermore, the planned decline in full-year operating profit is due to the prioritization of strategic investments (active allocation of necessary expenses) in AI-related solution development, system infrastructure reinforcement, and human capital, as this is the first year of the three-year medium-term management plan.

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5. Medium-Term Management Plan (Targets for FY2029) and Growth Story

True Data has formulated a three-year medium-term management plan ending in the fiscal year ending March 2029.

The slide above shows the numerical targets for FY2029 and the overall framework of the medium-term management plan, indicating strategic axes in business and finance.

Core of Medium-Term Management Targets:

• Net Sales : 3.0 billion yen + α (approx. 1.6x growth from 1.87 billion yen in FY2026)
• Operating Profit : 300 million to 400 million yen (Operating profit margin of 10% or more; 5.0–6.7x growth from 100 million yen in FY2026)
• M&A Investment Framework : Set an investment quota of over 1 billion yen (not reflected in revenue plans; an upside factor)
• Shareholder Returns : Planning to initiate shareholder returns during the medium-term plan period

Five Management Strategies Supporting Growth:

1. Promoting Sales of Core Businesses via Business Alliances : Dramatically increase the number of contracts by leveraging partner networks such as wholesalers.
2. Full-scale Upselling and Cross-selling, including AI-related Solutions : Evolve from simple data provision to "AI tools that support decision-making."
3. Monetization of the Retail Media Network Domain : Monetize fact-based data through collaboration with ad platformers.
4. Expansion of Revenue Structure and Synergies through M&A : Acquire technologies and customer bases in peripheral areas.
5. Promotion of Stakeholder Engagement : Enhance capital efficiency and productivity through organizational reform and compensation design reviews.

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6. Summary and Future Focus Points

True Data's Q1 FY2027 results landed with an operating profit that exceeded initial forecasts, driven by steady growth in recurring revenue (+26.4% YoY) and the smooth expansion of manufacturer installations (reaching 201 companies) .

Future focus points include the following:

• Timing of Spot Revenue Recognition : Whether spot projects for large retailers, etc., are successfully accepted and recognized in Q2 (September) and Q4 as planned.
• Adoption Status of AI Solutions (Price Simulation, etc.) : Whether upselling of high-value-added AI services progresses against the backdrop of manufacturers' price revision needs.
• Results of Retail Media Integration : The speed of revenue expansion from advertising data integration through partnerships with companies like FreakOut and Hakuhodo DY ONE.
• Progress of Upfront Investments and M&A Trends toward Medium-Term Plan Targets (3 billion yen in sales, 300–400 million yen in operating profit) .

Building a business model that steadily accumulates recurring revenue while simultaneously advancing upfront investments will be a key point in observing the company's medium- to long-term growth trajectory.