护城河对比

Real but bounded: the FY2025 10-K reports gross profit at 58.2% of total revenues, a level it records as a decrease - 'Gross profit as a percent of total revenues decreased by 0.3 points, primarily due to product mix' from 58.5% in 2024 - while a shared IG-XL test-program environment spans the FLEX and J750 families. Against that, the filing's own risk-factor heading is 'We are subject to intense competition' and it concedes that 'Some of our competitors have introduced or announced new products with certain performance characteristics that may be considered equal or superior to those we currently offer,' adding that it faces competition 'from emerging Asian companies and internal development at several of our customers.'

来源：sec.gov

宽阔：CUDA 软件平台及其开发者既有用户基础在整个 AI 训练技术栈上形成高昂的转换成本，由累计 $76.7B 研发投入护持，并被 FY2026 约 71% 的毛利率以及同比增长 68% 的数据中心营收（约占总额 90%）所强化——按 FY2026 10-K，这些是持久且难以复制的优势。

来源：sec.gov

The 10-K's Products section grounds the stickiness in test-program and capital reuse rather than in protected IP: the FLEX Test Platform runs 'The IG-XL™ software operating system which provides fast program development, including instant conversion from single to multi-site test', the J750 'shares the IG-XL software environment with the family of FLEX Test Platform systems,' and its instruments are 'coupled with a universal slot test head design that allows easy test system reconfiguration to address changing test needs.' The filing credits that versatility with making FLEX 'a widely used test solution at OSATs... allowing OSATs to leverage their capital investments.' The same 10-K expressly disclaims an IP-based moat: 'We do not believe that any single piece of intellectual property or proprietary rights is essential to our business.'

来源：sec.gov

持久优势建立在专有 IP 与软件之上：可在所有 NVIDIA GPU 上运行的全栈 CUDA 开发平台，加上数百个专有领域库/SDK/API，以及累计 $76.7B 研发投入所带来的 "inventions that are essential to modern computing"（NVIDIA 于 1999 年发明了 GPU）。按 FY2026 10-K 的业务章节，这一优势还被开发者生态系统的网络效应与 CUDA 转换成本进一步强化。

来源：sec.gov

The 10-K opens by calling Teradyne 'a leading global provider of automated test equipment and robotics solutions' - a leading provider, not the leader - and its Competition section names Semiconductor Test rivals non-exhaustively: competitors 'include, among others, Advantest Corporation, SPEA S.p.A., and Cohu, Inc.' It discloses no share figure and warns that competitors' announced products 'may be considered equal or superior to those we currently offer,' which reads as shared leadership rather than a clear lead.

来源：sec.gov

FY2026 Data Center revenue was $193.7B (~90% of the $215.9B total), up 68% YoY on the Blackwell ramp, and NVIDIA describes itself as "a data center scale AI infrastructure company reshaping all industries." The 10-K frames named rivals as parties who "provide or intend to provide" GPUs/accelerators — incumbent-leader positioning.

来源：sec.gov

Gross profit was 58.2% of total revenues in 2025 against 58.5% in 2024, and the 10-K attributes the 0.3-point decline to product mix; product gross margin fell 0.8 points to 57.3%. The risk factor 'Our operating results are likely to fluctuate significantly' lists 'competitive pressures on selling prices' among factors that 'could impact future operations,' and the same list cites the tendency of customers to 'wait until late in a quarter to commit to purchase... or the hope of obtaining more favorable pricing from a competitor seeking the business' - margin is defended, not expanded.

来源：sec.gov

FY2026 gross margin was 71.1% (75.0% in FY2025); per the 10-K MD&A the ~3.9pt decline reflects the Hopper HGX→Blackwell full-system mix shift and a one-time $4.5B H20 excess-inventory/purchase-obligation charge, not competitive price erosion. A low-70s% hardware gross margin evidences strong pricing power.

来源：sec.gov

Back-end capital equipment: its testers sit between fabrication and shipment, and the 10-K states that AI related customer demand drove the majority of revenue in the second half of 2025, with Semiconductor Test at 79% of consolidated revenue.

Upstream compute-platform supplier: NVIDIA sells full-stack data-center systems (GPU + Arm CPU + DPU + NVLink/InfiniBand networking + CUDA software) to cloud providers and enterprises, and relies on third-party foundry/assembly-test-packaging partners (e.g., SPIL, Amkor, Wistron, Fabrinet). Per the FY2026 10-K, several of its largest customers (hyperscalers such as Amazon, Alphabet, Microsoft) are simultaneously customers and emerging competitors developing internal accelerated-computing silicon.

• ETS and Eagle test platforms 未知 · 中等 来源：sec.gov
• FLEX Test Platform (UltraFLEXplus, J750) 前三 · 深 来源：sec.gov
• Magnum memory test platform 挑战者 · 中等 来源：sec.gov
• Mobile Industrial Robots autonomous mobile robots 挑战者 · 中等 来源：sec.gov
• Product Test systems 挑战者 · 中等 来源：sec.gov
• Universal Robots collaborative robot arms 前三 · 中等 来源：sec.gov

• CUDA accelerated-computing software platform (CUDA-X, NVIDIA AI Enterprise) 领先 · 深 来源：sec.gov
• Data Center AI accelerators (GPU — Blackwell/Hopper) 领先 · 深 来源：sec.gov
• Data-center networking / interconnect (NVLink, InfiniBand, Spectrum Ethernet, DPUs) 前三 · 中等 来源：sec.gov

编辑先验，未经回测。

查看它究竟如何投票 →

编辑先验，未经回测。

查看它究竟如何投票 →