XIAOMI(HK:01810) Goldman Sachs·2026-03-22 14:35Investment Rating - The report indicates a strong investment rating for Xiaomi, highlighting favorable risk-reward dynamics despite recent stock price fluctuations [2]. Core Insights - Xiaomi's revenue structure for 2026 is projected to be 40% from portable devices (with 35% from smartphones), 30% from automotive, 20% from IoT, and less than 10% from internet services [1]. - Internet services and IoT are identified as core profit pillars, expected to contribute 90% of total profits by 2025, with internet business gross margins reaching 25%-30% [1][4]. - The company holds $26 billion in net cash and $12.5 billion in investment book value, providing a strong valuation buffer with an estimated per-share value of approximately $11 [1][6]. - Xiaomi's AI strategy has shifted towards foundational large models, with MemoV2Pro ranking in the top eight globally, enhancing its position in AI development [1][7]. - The automotive business employs a blockbuster strategy, with over 550,000 units of SU7/YU7 delivered, and plans to launch a new extended-range SUV in the second half of 2026 [1][10]. Revenue and Profit Structure - In 2026, the revenue composition is expected to be 40% from portable devices, 30% from automotive, 20% from IoT, and less than 10% from internet services, while the gross profit structure shows that smartphones contribute over 10% to total gross profit [3][4]. - The core profit sources include IoT, internet services, investment income, and interest income, which are more stable and expected to offset potential profit fluctuations from automotive or smartphone businesses [4][9]. High-End Strategy and Market Positioning - Xiaomi's high-end strategy has been successfully implemented, with over 25% of smartphone shipments in China being high-end models by 2025 [4][5]. - The company is adjusting smartphone specifications and pricing to manage semiconductor price fluctuations, with expected smartphone losses of approximately $7.5 billion in 2026 due to rising component costs [5][6]. Supply Chain Management - Memory costs account for 10%-20% of smartphone pricing, with a projected three-digit percentage increase in memory prices in 2026, potentially impacting smartphone profit margins by up to 10 percentage points [5]. - Xiaomi is managing supply chain risks through component specification adjustments, price increases, and faster new model launches to reflect rising costs [5][6]. Financial Health - Xiaomi's balance sheet is a significant value support, with $26 billion in net cash and $12.5 billion in investment book value, generating $2-3 billion in free cash flow annually [6]. - The company has repurchased about 1% of its market value since 2026, which supports its stock price [6]. AI and Ecosystem Integration - Xiaomi's AI strategy focuses on becoming a leading foundational large language model company and integrating AI capabilities into its ecosystem across smartphones, IoT, and automotive products [7][8]. - The introduction of large language models is transforming Xiaomi's smart capabilities from device-level to whole-home system-level intelligence [8][11]. Internet Services Growth - The internet services business is a core profit source, contributing 25%-30% of gross profit, with expectations to exceed 100% of net profit by 2026 [9]. - Revenue growth is primarily driven by advertising, with a 10% year-on-year increase in monthly active users, although overall smartphone shipment pressures may slow growth [9][10]. Automotive Business Development - Xiaomi's automotive strategy began five years ago, with the launch of the SU7 and YU7 models, achieving over 550,000 deliveries [10]. - The upcoming launch of a new extended-range SUV is crucial for expanding into a new customer demographic, targeting older families [10]. Ecosystem Connectivity - Xiaomi's ecosystem leverages its proprietary operating system and Mi Home app for unified device control, with over 100 million monthly active users in China [11]. - The integration of AI assistants enhances user experience, allowing devices to learn user habits and automate operations [11].