Worth reading
60In focus
0–100. This measures how worthwhile something is to read, not how good or bad the company is.Direction
Improvement
Direction inferred from the company’s description.Scale
1750
¥ millionWording
Conditional
How definitive the wording is.Items stated in the management plan
FormulatedNet Sales+20.0%
基準 1,458Target1,750million
Operating profit+26.0%
基準 127Target160million
Operating profit margin+0.4pt
基準 8.7Target9.1%
Net income for the current fiscal year+22.0%
基準 82Target100million
Each line is the climb from the baseline the document states to the target it sets. The slope is scaled against the largest climb in this document. For metrics expressed as percentages, differences are shown in percentage points (pt).
What happened to the previous planRevenue 1,800 / Operating profit 165 / Profit after tax 110 → Revenue 1,458 / Operating profit 127 / Profit after tax 82（Revenue -19 / Operating profit -23 / Profit after tax -25.5）
Total investment plan¥25 billion in strategic growth investments over the next 3 years
Investment amount by sectorField Expanding data utilization (investment related to generative AI) / Amount Not disclosed, Field Maximizing human value (investment in human resources development) / Amount Not disclosed, Field Deepening partner capital (M&A and business investments) / Amount Not disclosed
Statements about the use of capital
Payout ratio / DOE policyLevel Consolidated payout ratio of 50% / Period Covered Not disclosedThe payout ratio is the proportion of profit paid out as dividends, while DOE is the ratio of dividends to net assets.
Key initiatives
01Expanding data utilization
02Maximizing human value
03Deepening partner capital
Plan assumptionsGrowing severity of corporate labor shortages resulting from the declining working-age population, Transformation of industrial structures driven by the accelerating evolution of technologies including generative AI and AI agents, Structural cost increases resulting from higher personnel expenses, overseas economic conditions and foreign exchange factors, Domestic BPO utilization remains at a low level, Diversification and expansion of outsourcing needs as resources are concentrated on core operations, Growing need for automation and business process transformation through the use of AI, Growing demand for BPO services with greater added value and specialization
Segment targetSegment SC operations / Sales target ¥145 billion in fiscal 2028 / Profit Target Not disclosed, Segment SB operations / Sales target ¥30 billion in fiscal 2028 / Profit Target Not disclosed
Non-financial targetsIndicator name Number of BPR consultants / Target value Approximately 400 / Timing During fiscal 2028, Indicator name Number of companies adopting Hitotonari AI / Target value 30 companies / Timing During fiscal 2028, Indicator name Employee AI utilization rate / Target value 100% / Timing As of the end of fiscal 2028, Indicator name Personnel implementing AI / Target value At least 2,500 / Timing Not disclosed, Indicator name Hybrid Operation Loop response accuracy / Target value 95% or higher / Timing Not disclosed, Indicator name Greenhouse Gas Emissions / Target value 45% reduction from 2019 / Timing 2028
Risks identified by the company
Labor shortages resulting from the declining working-age population
Transformation of industrial structures resulting from the evolution of technologies including generative AI and AI agents
Cost increases resulting from higher personnel expenses, overseas economic conditions and foreign exchange factors
Risks related to personal information and privacy
Cybersecurity Risk
Risks related to information leakage, unauthorized use and hallucinations involving AI, as well as legal and regulatory governance
Sustainability risks related to climate change, human rights and diversity
| Item | Details |
|---|---|
| Plan name | Medium-Term Management Plan 2028 |
| Plan period | Fiscal years ending February 2027 to February 2029 (shown in the materials as fiscal 2026 to fiscal 2028) |
| Progress against the plan | Formulated |
| Sales Target | ¥1,458 million → ¥1,750 million（+20.0%） |
| Operating profit target | ¥127 million → ¥160 million（+26.0%） |
| Operating profit margin target | 8.7% → 9.1%（Approximately 4.6%） |
| Net income target | ¥82 million → ¥100 million（+22.0%） |
| Payout ratio / DOE policy | Level Consolidated payout ratio of 50% / Period Covered Not disclosed |
| Total investment plan | ¥25 billion in strategic growth investments over the next 3 years |
| Investment amount by sector | Field Expanding data utilization (investment related to generative AI) / Amount Not disclosed, Field Maximizing human value (investment in human resources development) / Amount Not disclosed, Field Deepening partner capital (M&A and business investments) / Amount Not disclosed |
| Segment target | Segment SC operations / Sales target ¥145 billion in fiscal 2028 / Profit Target Not disclosed, Segment SB operations / Sales target ¥30 billion in fiscal 2028 / Profit Target Not disclosed |
| Non-financial targets | Indicator name Number of BPR consultants / Target value Approximately 400 / Timing During fiscal 2028, Indicator name Number of companies adopting Hitotonari AI / Target value 30 companies / Timing During fiscal 2028, Indicator name Employee AI utilization rate / Target value 100% / Timing As of the end of fiscal 2028, Indicator name Personnel implementing AI / Target value At least 2,500 / Timing Not disclosed, Indicator name Hybrid Operation Loop response accuracy / Target value 95% or higher / Timing Not disclosed, Indicator name Greenhouse Gas Emissions / Target value 45% reduction from 2019 / Timing 2028 |
| Plan assumptions | Growing severity of corporate labor shortages resulting from the declining working-age population, Transformation of industrial structures driven by the accelerating evolution of technologies including generative AI and AI agents, Structural cost increases resulting from higher personnel expenses, overseas economic conditions and foreign exchange factors, Domestic BPO utilization remains at a low level, Diversification and expansion of outsourcing needs as resources are concentrated on core operations, Growing need for automation and business process transformation through the use of AI, Growing demand for BPO services with greater added value and specialization |
| Key initiatives | Expanding data utilization, Maximizing human value, Deepening partner capital |
| Results under the previous plan | Revenue 1,800 / Operating profit 165 / Profit after tax 110 → Revenue 1,458 / Operating profit 127 / Profit after tax 82（Revenue -19 / Operating profit -23 / Profit after tax -25.5） |
| Risks identified | Labor shortages resulting from the declining working-age population, Transformation of industrial structures resulting from the evolution of technologies including generative AI and AI agents, Cost increases resulting from higher personnel expenses, overseas economic conditions and foreign exchange factors, Risks related to personal information and privacy, Cybersecurity Risk, Risks related to information leakage, unauthorized use and hallucinations involving AI, as well as legal and regulatory governance, Sustainability risks related to climate change, human rights and diversity |
| Date of board resolution | 8 April 2026 |
| Publication date | 8 April 2026 |
Items this document does not state (7)
ROE targetROIC targetTreasury share acquisition policyCost of capitalSelf-assessment of PBR and share priceReason for revision or withdrawalSize of the Target Market
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 explained that, in light of labor shortages resulting from the declining working-age population, technological advances including generative AI and AI agents, rising costs driven by higher personnel expenses, overseas economic conditions and foreign exchange factors, and the diversification and expansion of outsourcing needs, it will use AI to expand its data, human resources and co-creation networks and create new value.
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