Financial Results for the Fiscal Year Ended February 2026 (Japanese GAAP) (Consolidated)
Quantum Solutions Co.,Ltd. and its consolidated subsidiaries
Digital assets, primarily Ethereum; the AI solutions business; the wellness business; and the crypto asset investment business
Year-end valuation of crypto assets due to market price volatility
¥1,670 million (crypto asset valuation loss recorded as a non-operating expense)
Fiscal year ended February 2026 (1 March 2025 to 28 February 2026)
The Company has not disclosed its earnings forecast for the fiscal year ending February 2027 because it is difficult to make a reasonable short-term forecast. The forecast will be disclosed promptly once it can be calculated.
Related procedures
Surcharge (recorded as an extraordinary loss)
¥6 million (extraordinary loss)
Company response
Changes in the Company's officers remain undecided, and the Company will disclose the details once they have been determined.
The Company positions the AI-related and digital asset-related businesses as medium- to long-term growth areas, while maintaining the wellness business as a stable earnings base, and aims to improve operating profit and capital efficiency overall. To address the material doubt regarding the going concern assumption, the Company will improve the profitability of its existing businesses, review its cost structure and investment policy, diversify its financing methods, and stabilize its financial base.
The Company will disclose the information promptly once it becomes possible to calculate an earnings forecast, taking into account future progress.
| Item | Details |
|---|---|
| Event name | Financial Results for the Fiscal Year Ended February 2026 (Japanese GAAP) (Consolidated) |
| Date of occurrence | 28 February 2026 (fiscal year-end) |
| Subject Entity | Quantum Solutions Co.,Ltd. and its consolidated subsidiaries |
| Target Locations / Products | Digital assets, primarily Ethereum; the AI solutions business; the wellness business; and the crypto asset investment business |
| Cause | Year-end valuation of crypto assets due to market price volatility |
| Amount of Impact on Business Performance | ¥1,670 million (crypto asset valuation loss recorded as a non-operating expense) |
| Accounting period in which recognized | Fiscal year ended February 2026 (1 March 2025 to 28 February 2026) |
| Impact on Earnings Forecast | The Company has not disclosed its earnings forecast for the fiscal year ending February 2027 because it is difficult to make a reasonable short-term forecast. The forecast will be disclosed promptly once it can be calculated. |
| Type of litigation or proceeding | Surcharge (recorded as an extraordinary loss) |
| Claim amount / surcharge amount | ¥6 million (extraordinary loss) |
| Directors' and officers' liability | Changes in the Company's officers remain undecided, and the Company will disclose the details once they have been determined. |
| Outlook | The Company positions the AI-related and digital asset-related businesses as medium- to long-term growth areas, while maintaining the wellness business as a stable earnings base, and aims to improve operating profit and capital efficiency overall. To address the material doubt regarding the going concern assumption, the Company will improve the profitability of its existing businesses, review its cost structure and investment policy, diversify its financing methods, and stabilize its financial base. |
| Planned follow-up disclosure | The Company will disclose the information promptly once it becomes possible to calculate an earnings forecast, taking into account future progress. |
Items this document does not state (12)
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 main reason cited was the valuation loss recognized at the end of the fiscal year due to price volatility in the crypto asset market. The Company also cited changes in market conditions and industry structure, as well as the difficulty of forecasting short-term performance.