靠投资AI一把回血 名创优品Q1赚到了2025全年的钱

This article centers on MINISO's sharp profit growth in Q1 2026, where the company's net profit for the quarter already exceeded its full-year net profit for 2025 driven by an early AI investment. Key takeaways are as follows:

1. Core financial data: MINISO expects Q1 2026 revenue to land between 5.678 billion yuan and 5.728 billion yuan, up 28% to 29% year over year; net profit for the period is projected at 1.228 billion yuan to 1.248 billion yuan, representing a 195% to 200% year-over-year surge. For full-year 2025, MINISO's net profit attributable to shareholders was only 1.205 billion yuan, down more than 50% year over year, meaning its Q1 2026 profit has already outstripped last year's full-year result.

2. Core driver of the profit surge: The gain primarily comes from the listing of early-stage AI investment target MiniMax. This investment generated an unrealized fair value change gain of 870 million to 880 million yuan, accounting for over 70% of the quarter's net profit. Combined with a 78 million yuan investment gain from Yonghui Supermarket, this offset negative pressures such as increased operating expenses related to TOP TOY.

3. Reason for 2025's profit decline: The full-year profit was dragged down by an 813 million yuan impairment loss on the Yonghui investment and a 267 million yuan loss from its TOP TOY business segment.

This article provides brands with a real-world reference case for diversified strategic布局 and smoothing earnings volatility. Key insights are as follows:

1. Reference for布局 logic: Beyond its core retail business, MINISO invested early in the AI sector, taking a stake in MiniMax at a low valuation during its startup phase, based on the long-term growth potential of AI applications in retail. The investment ultimately delivered outsized returns that successfully offset losses from earlier investments and new business initiatives, enabling a sharp earnings reversal.

2. Reference for earnings volatility management: In 2025, MINISO's full-year net profit dropped 53.96% year over year due to the 813 million yuan loss on its Yonghui investment and a 267 million yuan loss from the new TOP TOY business. A single quarter of gains from its AI investment turned the earnings situation around, demonstrating that well-considered strategic investment can effectively smooth corporate earnings volatility.

3. Reference for industry trend outlook: The AI sector still offers considerable room for high returns, and AI+retail is a widely favored development direction in the industry. Brands can draw on this long-term diversified布局 approach to pursue emerging opportunities aligned with their own capabilities.

This article provides retail sellers with key references for strategic布局, opportunity capture, and risk mitigation. Key takeaways are as follows:

1. Opportunity alert: The AI sector is currently in a period of rapid growth, and early-stage investments in AI tech companies can deliver extremely high returns. MiniMax went public just 4 years after its founding, and its share price doubled post-IPO, delivering far above-expectation returns for early investors. Sellers with idle capital should track investment opportunities in the early-stage AI track.

2. Risk alert: Diversified investment and new business expansion both carry inherent uncertainty. MINISO booked an 813 million yuan loss on its Yonghui Supermarket investment in 2025 that dragged down full-year profit, while its TOP TOY business shifted from profit to a 267 million yuan loss in 2025. Sellers should remain alert to uncertainty risks when expanding into new business or making external investments.

3. Actionable insight: MINISO adhered to a long-term investment logic: it maintained its布局 in offline retail despite the short-term loss on the Yonghui investment, and ultimately reaped positive gains in Q1 2026. This long-term-minded approach to strategic布局 is a valuable reference for sellers.

This article provides manufacturing factories with key references for digital upgrading, strategic布局, and new business opportunity identification. Key insights are as follows:

1. Reference for development trends: AI is widely recognized as a high-potential growth direction across both retail and manufacturing. Leading retail brand MINISO's early entry into AI investment confirms that the integration of AI and physical industries is a clear industry trend. Factories can explore opportunities to apply AI in production design and supply chain management, and布局 related technologies early to advance digital transformation.

2. New business opportunity alert: Leading retail brands are already building out AI ecosystems proactively. Factories can align with the AI布局 needs of leading retail brands, participate in the production and design of AI-related products, unlock new business growth opportunities and open up new revenue streams.

3. Reference for布局 strategy: MINISO reaped outsized returns from its early AI investment. While focusing on their core manufacturing business, factories can also explore early strategic investments in trend-aligned sectors to boost corporate earnings and hedge against growth volatility in their core business.

This article provides B2B service providers with key references for identifying retail industry trends and unmet customer demand. Key insights are as follows:

1. Industry development trend: Leading retail companies now broadly recognize the value of AI for the retail sector, and are willing to make strategic investments in the early stages of AI development. AI+retail is a clear growth direction for the future, and market demand for AI-related technology services will continue to grow.

2. Customer pain point identification: Retail companies commonly face earnings volatility beyond their core business. Just like MINISO, which saw its full-year profit drop sharply in 2025 due to losses from external investment and new business, retail companies need diversified布局 to smooth earnings volatility. Service providers can develop tailored offerings to meet retailers' demand for investment and new business expansion support.

3. Market opportunity reference: AI startups are growing at an extraordinary pace: MiniMax achieved IPO just 4 years after founding, demonstrating a smooth financing and exit path for AI ventures. Service providers can target AI startups and retail companies' AI investment布局 needs, and build out related services including investment consulting, finance and taxation, and IPO advisory, to tap into new customer groups.

This article provides retail and capital market platforms with key references for industry trend tracking, investment recruitment and operation, and risk mitigation. Key insights are as follows:

1. Reference for investment recruitment and布局: High-quality AI startups grow far faster than traditional industry players. MiniMax completed its IPO just 4 years after founding, setting the record for the fastest IPO by a global AI company, and its share price more than doubled post-listing. This demonstrates that the AI sector hosts a large number of high-quality projects. Platforms can expand recruitment and布局 for high-quality AI projects, attract top projects to list on their platforms, and boost their own market influence.

2. Reference for service demand alignment: Physical retail enterprises have extensive demand for capital operations and strategic investment, and leading retailers participate in early-stage investment in emerging fields such as AI. Platforms can develop tailored service products around retailers' investment needs, connect them with high-quality project resources, and meet retailers' diversified investment demand.

3. Risk mitigation reference: Early-stage investment carries high uncertainty, and even leading companies can incur large losses: MINISO booked an 813 million yuan loss on its Yonghui investment in 2025. When matching projects and serving corporate clients, platforms should provide comprehensive risk disclosures to help enterprises avoid unnecessary investment risks.

This article provides industry researchers with new case insights on cross-border investment by retail companies and AI industry development. Key takeaways are as follows:

1. New trends in the retail industry: Traditional retail companies are no longer limiting themselves to core business growth, and are increasingly pursuing diversified strategic布局. Leading retail players, leveraging their capital advantages, participate in early-stage investment in AI startups to capture high investment returns while pre-accumulating AI technology resources to prepare for future AI applications in retail operations. This has emerged as a new development model for the retail industry.

2. New characteristics of the AI industry: AI startups are achieving growth and IPO at a dramatically accelerated pace. MiniMax went public just 4 years after founding, setting the record for the fastest IPO by a global AI company, and its share price surged sharply post-listing. This demonstrates high capital market recognition of AI companies, and the AI industry as a whole has entered a phase of rapid development.

3. New research avenues: The profitability of traditional retail companies is increasingly influenced by external investment. Over 70% of MINISO's latest net profit comes from investment gains rather than core operating profit. The impact of this shift in profit structure on retail corporate valuation and long-term industry development merits further in-depth research by scholars and analysts.