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.
| Tokyo Electron | C3.ai | CoreWeave | |
|---|---|---|---|
| Moat rating | narrow Integrated Report 2026 (issued 2026-09-15) documents strong positions across the line: by Tokyo Electron's own estimate it ranks No. 1 in diffusion furnaces, batch deposition, metal deposition, coater/developers, gas chemical etch and wafer probers, No. 2 in plasma etch and bonders and No. 3 in cleaning, and holds a "100% share" of coater/developers for EUV lithography; its installed base, industry-leading by its own estimate, is approximately 100,000 units, growing by approximately 4,000-6,000 units a year; and its 26,592 patents rank No. 1 in the semiconductor production equipment industry on the LexisNexis PatentSight+ database. Reported returns stayed high through a sales decline: gross profit margin stayed between 44.6% and 47.1% and ROE between 21.8% and 37.2% across fiscal 2022-2026, including fiscal 2024 when net sales fell to ¥1,830.5 billion. The share ranks, the EUV share and the installed-base lead are company estimates, not third-party data. | eroding The FY2026 10-K's own financial statements show revenue down ~36% year over year to $250.3M with GAAP gross profit collapsing from $235.9M to $77.4M, while its Competition section concedes the primary competition is do-it-yourself platforms assembled from hyperscaler and open-source components and that strategic partners may offer substantially similar solutions — differentiation that is visibly failing to defend share or price in a growing enterprise-AI market. | 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 The report calls its patent portfolio its "fifth strength" and says that "by supporting our other four strengths, it serves a vital role as the foundation" for medium- to long-term corporate value: 26,592 patents as of March 31, 2026, 1,415 inventions created in Japan and 345 overseas in 2025, and Clarivate Top 100 Global Innovators recognition for the fifth consecutive year. The other strengths rest on the same proprietary process know-how — co-created technology roadmaps that evaluate technologies "for the next four generations and beyond" with customers, "numerous development PORs" (process of record) in the frontend business, and the EUV coater/developer position — so proprietary process technology, reinforced by qualification in customers' process flows, is the moat source. | intangibles ip The 10-K's 'Strategic Competitive IP Advantage' section grounds the remaining moat in patents — 33 issued U.S. patents including a foundational agentic-AI orchestration patent (US 12,111,859) — and the patented model-driven architecture the filing presents as its sustainable competitive advantage. | 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 | co leader The CEO's message describes Tokyo Electron as "one of the world's leading suppliers of semiconductor production equipment" and states a "goal of becoming number one globally" — it does not claim to be the largest supplier overall — while by its own estimate it ranks No. 1 in six charted segments (diffusion furnace, batch deposition, metal deposition, coater/developer, gas chemical etch, wafer prober), No. 2 in plasma etch and bonders, and No. 3 in cleaning. | behind Despite tracker recognitions the filing cites (a Leader in the 2024 Forrester Wave for AI/ML Platforms; 2024-2025 Constellation ShortLists), FY2026 revenue contracted ~36% while the filing describes the AI software market as expanding past $450B — a franchise losing ground to the DIY and hyperscaler alternatives its own Competition section names. | 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 | moderate Gross profit margin held in a 44.6%-47.1% range over fiscal 2022-2026, including fiscal 2024's sales decline, but in fiscal 2026 it fell 1.8 points to 45.3% "due to factors such as higher raw material prices and increased labor costs" even as net sales reached a record, and the CEO lists "revising prices appropriately with respect to cost increases caused by inflation" among five initiatives needed to improve the operating margin. | weak GAAP gross margin fell from ~61% in FY2025 to ~31% in FY2026 per the 10-K income statement, and the filing describes its consumption-based pricing model as adopted to make products 'easier and less costly' to adopt — the opposite of pricing leverage. | 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 | Tokyo Electron makes wafer fab equipment for what its Integrated Report 2026 calls the "four key processes necessary for semiconductor scaling: deposition, coater/developer, etch, and cleaning", plus wafer probers and bonders for test and advanced packaging. The report grounds its edge in breadth and incumbency: leading share estimates in most of its segments, an estimated 100% share of EUV coater/developers, an installed base of approximately 100,000 units, industry-leading by its own estimate, feeding a Field Solutions business that sold ¥626.0 billion of parts, services, used equipment and modifications in fiscal 2026, and the industry's largest patent portfolio. Fiscal 2026 net sales were a record ¥2,443,533 million, but gross profit margin fell 1.8 points to 45.3% on higher raw material prices and labor costs, and operating margin fell 3.1 points to 25.6% as R&D expenses rose 11.1% to ¥277,866 million. China accounted for 34.1% of fiscal 2026 net sales, down from 41.7% the year before. | C3.ai's residual moat is intellectual property: a patented model-driven architecture the FY2026 10-K credits with ~26x faster application development, a 33-patent U.S. portfolio including the first foundational agentic-AI orchestration patent, and prebuilt applications encoding 15 years of industry domain knowledge. The same filing concedes its primary competition is do-it-yourself platforms built from hyperscaler and open-source components, and FY2026 results — revenue down ~36% to $250M with GAAP gross margin roughly halved to ~31% — show that IP has not defended pricing or share. | 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 | Upstream equipment supplier to chipmakers: fiscal 2026 new-equipment sales of ¥1,775.4 billion went 59% to non-memory (logic, foundry, others), 31% to DRAM and 10% to NAND; by region, China took 34.1%, South Korea 22.3% and Taiwan 20.4% of net sales. | Application-layer pure play: sells prebuilt enterprise-AI applications and an agentic platform to industrial and government end users, downstream of the hyperscaler clouds and LLM providers it deploys on. | Layer-8 purpose-built AI neocloud — first-to-deploy NVIDIA systems for training and inference at scale. |
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| Long-horizon vote | +0.13 at weight 0.20 · swarm bearish Editorial prior, not backtested. | -0.38 at weight 0.20 · swarm bearish Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |