Sales for this month
August 2026Fiscal year ending June 2027Sales exceeded the prior year in both domestic retail businesses. Customer traffic remained sluggish due to low temperatures and localized rainfall, and summer seasonal products performed poorly, while food and daily necessities, strengthened categories, and trend products contributed to sales.
Low temperatures, Localized rainfall, Poor performance by summer seasonal products, Contribution from food and daily necessities, Contribution from fresh products, Pricing strategy, Contribution from strategically strengthened categories, Strong performance by trend products, Summer lucky-bag campaign
A new Don Quijote Okayama Saidaiji store (Okayama City, Okayama Prefecture) is scheduled to open in September 2026.
Month July 2026 / Domestic Retail — Existing-Store Sales YoY 103.8 / Year-on-year change in sales across all Domestic Retail Business stores 106.1, Month August 2026 / Domestic Retail — Existing-Store Sales YoY 101.4 / Year-on-year change in sales across all Domestic Retail Business stores 103.5
Scope of aggregation: Domestic retail business (Discount business and UNY business), by business
| Item | Details |
|---|---|
| Month Covered | August 2026 |
| Fiscal Year Covered | Fiscal year ending June 2027 |
| Scope of aggregation | Domestic retail business (Discount business and UNY business), by business |
| Year-on-year change in monthly net sales | Domestic Retail — Existing Stores 101.4 / Domestic Retail — All Stores 103.5 / Discount Business — Existing Stores 101.6 / Discount Business — All Stores 104.4 / UNY Business — Existing Stores 100.4 / UNY Business — All Stores 100.3 |
| Total-store sales, year on year | Domestic retail 103.5 / Discount business 104.4 / UNY business 100.3 |
| Same-Store Sales, Year on Year | Domestic retail Rate 101.4 / Definition Existing stores as stated in the document / Discount business Rate 101.6 / Definition Existing stores as stated in the document / UNY business Rate 100.4 / Definition Existing stores as stated in the document |
| Year-on-Year Change in Customer Count | Domestic Retail — Existing Stores 99.8 / Discount Business — Existing Stores 99.4 / UNY Business — Existing Stores 100.8 |
| Year-on-Year Change in Average Spend per Customer | Domestic Retail — Existing Stores 101.6 / Discount Business — Existing Stores 102.2 / UNY Business — Existing Stores 99.7 |
| Cumulative Year-on-Year Change from Start of Period | Domestic Retail — Existing Stores 102.6 / Domestic Retail — All Stores 104.8 / Discount Business — Existing Stores 103.2 / Discount Business — All Stores 106 / UNY Business — Existing Stores 100.4 / UNY Business — All Stores 100.5 |
| Year-on-year change by category | Name Discount business: Electrical appliances (existing stores) / Year on year 92.4, Name Discount business: Daily necessities (existing stores) / Year on year 104.2, Name Discount business: Food (existing stores) / Year on year 101.5, Name Discount business: Watches and fashion goods (existing stores) / Year on year 100.3, Name Discount business: Sporting goods and leisure goods (existing stores) / Year on year 103.2, Name UNY business: Electrical appliances (existing stores) / Year on year 90.6, Name UNY business: Daily necessities (existing stores) / Year on year 101.9, Name UNY business: Food (existing stores) / Year on year 100.9, Name UNY business: Watches and fashion goods (existing stores) / Year on year 92.7, Name UNY business: Sporting goods and leisure goods (existing stores) / Year on year 120.8 |
| Key KPIs | Indicator name Customer traffic (domestic retail existing stores) / Value 99.8 Year-on-year (%) / Year on year Not disclosed, Indicator name Average spend per customer (domestic retail existing stores) / Value 101.6 Year-on-year (%) / Year on year Not disclosed, Indicator name Customer traffic (Discount business existing stores) / Value 99.4 Year-on-year (%) / Year on year Not disclosed, Indicator name Average spend per customer (Discount business existing stores) / Value 102.2 Year-on-year (%) / Year on year Not disclosed, Indicator name Customer traffic (UNY business existing stores) / Value 100.8 Year-on-year (%) / Year on year Not disclosed, Indicator name Average spend per customer (UNY business existing stores) / Value 99.7 Year-on-year (%) / Year on year Not disclosed |
| Number of Stores at Period-End | Domestic Retail — Existing-Store Coverage 645 / Domestic Retail — All-Store Coverage 676 / Discount Business — Existing-Store Coverage 522 / Discount Business — All-Store Coverage 548 / UNY Business — Existing-Store Coverage 123 / UNY Business — All-Store Coverage 128 / Robin Hood — All Stores 5 / Olympic — All Stores 98 |
| Monthly Commentary | Sales exceeded the prior year in both domestic retail businesses. Customer traffic remained sluggish due to low temperatures and localized rainfall, and summer seasonal products performed poorly, while food and daily necessities, strengthened categories, and trend products contributed to sales. |
| Factors Affecting the Change | Low temperatures, Localized rainfall, Poor performance by summer seasonal products, Contribution from food and daily necessities, Contribution from fresh products, Pricing strategy, Contribution from strategically strengthened categories, Strong performance by trend products, Summer lucky-bag campaign |
| Measures from the following month onward | A new Don Quijote Okayama Saidaiji store (Okayama City, Okayama Prefecture) is scheduled to open in September 2026. |
| Monthly trend for the same period last year | Month July 2026 / Domestic Retail — Existing-Store Sales YoY 103.8 / Year-on-year change in sales across all Domestic Retail Business stores 106.1, Month August 2026 / Domestic Retail — Existing-Store Sales YoY 101.4 / Year-on-year change in sales across all Domestic Retail Business stores 103.5 |
Items this document does not state (6)
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.Customer traffic remained sluggish due to low temperatures and localized rainfall, while summer seasonal products performed poorly. Meanwhile, food and daily necessities, fresh products such as meat and prepared foods, strategically strengthened categories, and trend products contributed to sales.