Compare moats
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.
| Advantest | NVIDIA | CoreWeave | |
|---|---|---|---|
| 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. | 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. | narrow The FY2025 10-K describes a purpose-built AI cloud with a real performance edge, but its own risk section discloses the defining constraint: 'approximately 67% of our revenue from our top customer, Microsoft, for the year ended December 31, 2025' — a specialized platform whose economics rest on one buyer that is also a hyperscaler competitor is narrow, not wide. |
| 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'. | 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. | cost scale The 10-K grounds the advantage in purpose-built infrastructure — first-to-deploy NVIDIA GB200/GB300 NVL72 systems and a data-center fabric 'designed to harness the full potential of each GPU' — a performance-per-dollar edge at scale, not a customer lock. |
| 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. | 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. | co leader The 10-K positions CoreWeave as a first-to-deploy specialist against hyperscalers who offer AI compute 'as part of a broader product portfolio' — a leader of the purpose-built neocloud niche, not of the AI-cloud market its own filing says it competes in. |
| 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%. | 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. | moderate A first-to-deploy performance edge on scarce new NVIDIA systems supports pricing while the hardware is scarce, but 67% single-customer concentration is buyer leverage the filing states outright. |
| 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'. | 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. | CoreWeave sells a full-lifecycle AI cloud — training, inference, data movement, agentic workflows — on infrastructure 'purpose-built to accelerate breakthroughs by AI pioneers,' with the Weights & Biases acquisition adding the developer tooling layer as 'a single stack.' The edge the filing claims is speed and efficiency on the newest NVIDIA systems. The moat's ceiling is in the same document's risk factors: 67% of 2025 revenue came from Microsoft, and the hyperscalers it competes with are 'also customers of, and partners to, CoreWeave' — the largest buyer and the largest rival are the same companies. |
| 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. | 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. | Layer-8 purpose-built AI neocloud — first-to-deploy NVIDIA systems for training and inference at scale. |
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| Long-horizon vote | +0.42 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.42 at weight 0.20 · swarm bullish Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |