Items stated in the management plan
FormulatedEach 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).
The company will review the variances from the plan and reflect its findings in the next growth strategy, which will prioritize profitability, capital efficiency and the speed of commercialization.
| Item | Details |
|---|---|
| Plan name | Lib Earth Shot 2029 Medium-Term Management Plan |
| Plan period | 2026.7 – 2029.6 |
| Progress against the plan | Formulated |
| Operating profit margin target | 3.4% (actual for the fiscal year ended June 2026) → 10.0% (plan for the fiscal year ending June 2029) |
| ROE target | 2.2% (actual for the fiscal year ended June 2026) → At least 20.0% (fiscal year ending June 2029) |
| Segment target | Segment 3D-Printed Home Business / Timing Fiscal year ending June 2029 / Target Domestic directly operated 3DP construction sales of ¥2 billion, overseas directly operated 3DP construction sales of ¥720 million, 3D printer sales and leasing revenue of ¥500 million, 3DP franchise fees of ¥50 million, 3DP materials and data-creation fees of ¥250 million (100 homes), and 3DP royalty income of ¥50 million, Segment Housing OS / Timing Fiscal year ending June 2029 / Target 600 companies adopting My Home Robo, My Home Robo operating profit of ¥200 million, 100 IP license member stores, IP license operating profit of ¥200 million, 60 companies participating in the AI customer-acquisition platform, and AI customer-acquisition platform operating profit of ¥150 million, Segment Housing Business / Timing Fiscal year ending June 2029 / Target Gross margin on detached homes of 35% and SG&A expenses-to-sales ratio of no more than 20% |
| Non-financial targets | Indicator Number of 3DP franchisees / Target value 50 companies / Timing Fiscal year ending June 2029, Indicator Number of companies adopting My Home Robo / Target value 600 companies / Timing Fiscal year ending June 2029, Indicator Number of IP license member stores / Target value 100 companies / Timing Fiscal year ending June 2029, Indicator Number of companies participating in the AI customer-acquisition platform / Target value 60 companies / Timing Fiscal year ending June 2029, Indicator Labor productivity / Target value At least 200% versus the fiscal year ended June 2026 (with the fiscal year ended June 2026 set at 100) / Timing Fiscal year ending June 2029, Indicator Total cost of 3DP homes (per-square-meter cost) / Target value 40% reduction / Timing Fiscal year ending June 2029 |
| Plan assumptions | The construction cost per wooden home has increased by an average of approximately ¥5.53 million, or approximately 28%, versus 2020. Nationwide housing starts for owner-occupied and subdivision homes declined from 507,700 units in fiscal 2022 to 395,700 units in fiscal 2025, a contraction of approximately 22% over 3 years. Source: Ministry of Land, Infrastructure, Transport and Tourism, “Report on the Survey of Construction Starts (FY2025 total)” |
| Key initiatives | Preparing for mass production in the 3D-printed construction business, Establishing the Housing OS business platform, Establishing a high-profitability model for the Housing Business, Expanding 3DP construction through domestic franchises and overseas operations, Full-scale expansion of Housing OS, Rolling out the high-profitability Housing Business model, Expanding the 3D-printed home business globally, Making Housing OS the second core earnings pillar, Transforming the Housing Business into a high-profitability, cash-generating business |
| Results under the previous plan | Revenue of ¥28.5 billion, operating profit of ¥3.0 billion and ROE of 30% (initial forecast in 2023) / revenue of ¥15.0 billion, operating profit of ¥500 million and ROE of 4.0% (revised forecast as of 12 November 2025) → Revenue of ¥15.68 billion, operating profit of ¥530 million and ROE of 2.2% (actual for the fiscal year ended June 2026) |
| Reason for revision or withdrawal | The company will review the variances from the plan and reflect its findings in the next growth strategy, which will prioritize profitability, capital efficiency and the speed of commercialization. |
| Size of the Target Market | Nationwide housing starts for owner-occupied and subdivision homes: 507,700 units in fiscal 2022, 454,700 units in fiscal 2023, 452,700 units in fiscal 2024 and 395,700 units in fiscal 2025. A decline of approximately 112,000 units, or approximately 22%, over 3 years. Source: Ministry of Land, Infrastructure, Transport and Tourism, “Report on the Survey of Construction Starts (FY2025 total)” |
| Risks identified | Rising construction and material costs, Shortage of tradespeople and skilled workers, Responding to increasingly frequent natural disasters, Environmental impact of the construction industry, Rising land prices and persistently high material prices, Increased burden of purchasing a home and weakening purchasing appetite, Mandatory compliance with energy-saving standards, Higher housing loan interest rates, Contraction of the detached-home market and intensifying competition among housing companies, Changes in the competitive environment resulting from the rapid evolution of generative AI, Declining investment capacity and more cautious decision-making among prospective franchisees |
| Publication date | 21 August 2026 |
Items this document does not state (11)
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.As the key KPIs under the previous plan were not achieved, the company will review the variances from the plan and reflect its findings in the next growth strategy, which will prioritize profitability, capital efficiency and the speed of commercialization. Factors cited include higher construction costs resulting from global inflation, the increased burden of purchasing a home, contraction of the housing market and changes in the competitive environment driven by generative AI.