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Up to three covered companies, band by band. Every call is a curated editorial judgment, never a disclosed figure — and every band carries its cited basis.

comparing Advantest×AMD×NVIDIA× maximum of 3 — remove one to swap
Advantest ATEYY ai moat: latest change 2026-06-26 AMD AMD ai moat: latest change 2026-02-04 NVIDIA NVDA ai moat: latest change 2026-02-25
Moat rating wide

A disclosed share that rose while margin expanded. The FY2025 Annual Securities Report and Business Report (84th term, filed 2026-06-26) lists as FY2025 progress: 'Further expanded our market share in the semiconductor tester (ATE) market (CY2024: 58%; CY2025: 65%)', earned on net sales of ¥1,128,610 million at an operating income to net sales ratio of 44.2%, 'an increase of 14.9 percentage points from the previous fiscal year'. The share is a company metric and the filing says so — 'the ratio of Advantest's semiconductor tester sales to the overall size of the semiconductor tester market', where 'The semiconductor tester market size is estimated independently by Advantest based on certain assumptions and available information'. The same filing names seven principal tester competitors (Teradyne, Inc., CCTech, Accotest, YC Corp., Cohu, Inc., UniTest Co., Ltd. and EXICON Ltd.), so this is a lead held against a named field rather than an empty one.

source: advantest.com

narrow

AMD's FY2025 10-K documents real but bounded advantages: approximately 7,200 U.S. patents and roughly 18,900 patent matters worldwide, an outright claim that 'We are the market share leader in semi-custom game console products,' and gross margin of 50% on revenue up 34% to $34.6 billion. The same filing sets the ceiling: 'Some of our competitors may possess stronger market positions, larger customer bases, more design wins, and greater financial, sales, marketing, and distribution resources than us'; Nvidia is named 'the discrete GPU market share leader'; and AMD relies on TSMC 'for the production of all wafers for microprocessor and GPU products at 7 nanometer (nm) or smaller nodes.' Advantages that are genuine, contested, and dependent on a shared foundry are narrow, not wide.

source: sec.gov

wide

Wide: the CUDA software platform and its developer installed base create high switching costs across the AI-training stack, defended by $76.7B cumulative R&D and reinforced by ~71% FY2026 gross margins and Data Center revenue (~90% of total) up 68% YoY — durable, hard-to-replicate advantages per the FY2026 10-K.

source: sec.gov

Moat type intangibles ip

What management itself names as the source of the position is a proprietary platform. The July 29, 2026 Q1 FY2026 results briefing states: 'Our leading SoC Test platform, V93000, has been widely adopted across a broad range of customers in the increasingly complex AI semiconductor markets, where advanced packaging technologies including GPUs, ASICs, and CPUs are being adopted. It serves as a key foundation that underpins our competitive advantage.' The 84th-term report shows the spend behind it: R&D was approximately ¥71.4 billion in FY2024 and ¥78.1 billion in FY2025, 'The number of employees in its research and development division is approximately 30% of the Advantest workforce', and in the Test System Business Segment 'a large and ongoing investment in research and development is necessary in order to maintain market competitiveness'. Its stated IP mitigation is that 'Advantest strategically and proactively files patent applications during product development and prior to product shipment'.

source: advantest.com

intangibles ip

The FY2025 10-K locates the durable asset in design IP rather than manufacturing: 'We rely on contracts and intellectual property rights to protect our products and technologies from unauthorized third-party copying and use,' with approximately 7,200 U.S. patents and about 18,900 patent matters worldwide spanning x86 EPYC/Ryzen CPUs, CDNA/RDNA graphics and the Versal/Zynq adaptive-SoC families, and it credits customer wins to 'our broad IP portfolio and leadership in design, integration and advanced packaging.' It is explicitly not cost_scale: AMD is fabless and 'utilize[s] Taiwan Semiconductor Manufacturing Company Limited (TSMC) for the production of wafers' — the same leading-edge foundry its merchant competitors use, so no manufacturing-scale advantage accrues to it.

source: sec.gov

intangibles ip

The durable edge rests on proprietary IP and software: the full-stack CUDA development platform running on all NVIDIA GPUs plus hundreds of proprietary domain libraries/SDKs/APIs, and $76.7B cumulative R&D yielding "inventions that are essential to modern computing" (NVIDIA invented the GPU in 1999). This is reinforced by developer-ecosystem network effects and CUDA switching costs, per the FY2026 10-K Business section.

source: sec.gov

Leadership clear leader

The 84th-term report discloses Advantest's tester-market share at 65% in CY2025, up from 58% in CY2024, and carries the same 65% among its disclosed management metrics against a target of '58% or more'; the filing defines it as Advantest's semiconductor tester sales over a market size 'estimated independently by Advantest based on certain assumptions and available information'. The July 29, 2026 briefing names the platform behind that share — V93000, 'widely adopted across a broad range of customers in the increasingly complex AI semiconductor markets'. Teradyne, Inc. heads the filing's list of principal tester competitors.

source: advantest.com

fast follower

The FY2025 10-K itself places AMD behind the pace-setter in its two most important markets: 'Our principal competitor in the supply of discrete graphics is Nvidia, who is the discrete GPU market share leader,' and the risk factors state Nvidia 'leverages its market position in data center GPU, financial resources, and proprietary software ecosystem to promote its systems and influences customers who do business with us.' AMD is nonetheless executing 'an annual cadence of leadership for AMD Instinct solutions' and has won gigawatt-scale commitments (OpenAI, 6 GW) — following fast and closely, not setting the pace.

source: sec.gov

clear leader

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.

source: sec.gov

Pricing power strong

Q1 FY2026 gross profit was ¥255,553 million on net sales of ¥367,473 million, and the July 29, 2026 briefing states the resulting figure itself: 'Gross margin reached 69.5%', with 'an operating margin of 51.7%'. Management attributes that level to 'a favorable sales mix and limited inventory valuation losses amid the robust demand environment', not to price, and guides FY2026 full-year gross margin to 66–67% and operating margin to 49.4% after incorporating 'the impact of higher component costs, particularly for memory-related components'. FY2025 closed at a 44.2% operating margin, up 14.9 points year on year, on sales up 44.7%.

source: advantest.com

moderate

FY2025 gross margin was 50%, up from 49% in 2024 per the 10-K — healthy and improving — but the same filing attributes average-selling-price pressure to competitors: Intel 'uses its microprocessor market position to price its products aggressively and target our customers and channel partners with special incentives. These aggressive activities have reduced and may reduce our unit sales and average selling prices for many of our products'. Pricing power is real but contested.

source: sec.gov

strong

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.

source: sec.gov

Summary

Advantest sells the test step that certifies silicon before it ships, and its position there is disclosed rather than inferred: its own tester-market-share metric moved from 58% in CY2024 to 65% in CY2025 (84th-term Annual Securities Report), against a market size the filing says Advantest estimates itself. The lead is concentrated in SoC test — the July 29, 2026 briefing calls V93000 'our leading SoC Test platform' and 'a key foundation that underpins our competitive advantage' — and the customer base runs straight into the AI chain: NVIDIA International, Inc. was ¥228,273 million, or 20.2%, of FY2025 consolidated net sales, having been below the filing's 10% disclosure threshold the prior year, with Taiwan Semiconductor Manufacturing Co., Ltd. at ¥124,922 million, or 11.1%. Economics moved with it: FY2025 operating margin was 44.2%, up 14.9 points, and Q1 FY2026 gross margin reached 69.5%, which management attributes to 'a favorable sales mix and limited inventory valuation losses amid the robust demand environment' rather than to price. The counterweights sit in the same documents. The 84th-term report's customer-trust risk factor warns that if Advantest fails to meet expectations on ramp-up and post-sales service, 'the maintenance or expansion of Advantest's market share may be constrained'; it names separate competitor sets in test handlers (Hon. Precision, CCTech, Cohu, TechWing) and device interfaces (TSE, ISC, BeLINK) where no share is disclosed at all; and the July 29, 2026 briefing guides FY2026 full-year gross margin down to 66–67% having 'incorporated the impact of higher component costs, particularly for memory-related components, mainly in the second half of the fiscal year'.

AMD's edge is architectural design IP executed on someone else's fabs. The FY2025 10-K describes a full-stack portfolio — EPYC server CPUs, Instinct AI accelerators, Ryzen client parts where 'AMD was the first company to integrate a dedicated neural processing unit (NPU) on the same SoC as an x86 CPU for AI PCs,' Radeon graphics, Pensando networking and Versal adaptive SoCs — backed by roughly 18,900 patent matters worldwide, and it discloses gigawatt-scale customer commitments (an October 2025 agreement with OpenAI 'to deploy 6 gigawatts of AMD GPUs,' first gigawatt on Instinct MI450). The same filing bounds that moat: Nvidia is 'the discrete GPU market share leader' and 'leverages its market position in data center GPU, financial resources, and proprietary software ecosystem'; Intel 'uses its microprocessor market position to price its products aggressively'; Arm architectures and customers who 'internally develop products to support similar AI workloads' are named as encroaching; and every wafer at 7 nm or below comes from TSMC. Revenue grew 34% in FY2025 with Data Center up 32%, but the filing's own competitive framing places AMD in the challenger seat rather than the entrenched one.

NVIDIA pairs market-leading accelerated-computing hardware (the Blackwell data-center platform) with a proprietary full-stack software moat — CUDA plus hundreds of domain libraries — funded by $76.7B of cumulative R&D, and its "large and growing number of developers and installed base... strengthens our ecosystem and increases the value of our platform for our customers" (FY2026 10-K). Competition is intensifying from AMD, Intel and Huawei, and from hyperscalers (Alphabet, Amazon, Microsoft) designing internal AI silicon, but rivals must overcome NVIDIA's entrenched CUDA software ecosystem to displace it.

Chain position

Back-end capital equipment: Advantest's testers certify devices after fabrication, and the 84th-term report's FY2025 major-customer table puts NVIDIA International, Inc. at 20.2% and Taiwan Semiconductor Manufacturing Co., Ltd. at 11.1% of consolidated net sales, with overseas sales 97.8% of the total.

A fabless merchant-silicon designer sitting one layer above the foundries: the FY2025 10-K states AMD relies on TSMC 'for the production of all wafers for microprocessor and GPU products at 7 nanometer (nm) or smaller nodes' and primarily on GLOBALFOUNDRIES above 7 nm, with packaging and test performed by Asia-Pacific ATMP partners — so its cost, supply and cadence are inherited from partners it does not control.

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.

Products (share / barrier)
  • CUDA accelerated-computing software platform (CUDA-X, NVIDIA AI Enterprise) Leader · Deep source: sec.gov
  • Data Center AI accelerators (GPU — Blackwell/Hopper) Leader · Deep source: sec.gov
  • Data-center networking / interconnect (NVLink, InfiniBand, Spectrum Ethernet, DPUs) Top 3 · Moderate source: sec.gov
Long-horizon vote +0.42 at weight 0.20 · swarm neutral

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+0.06 at weight 0.20 · swarm bullish

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+0.42 at weight 0.20 · swarm bullish

Editorial prior, not backtested.

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