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.
| Fabrinet | ASML | Snowflake | |
|---|---|---|---|
| Moat rating | narrow The FY2026 10-K grounds a real but bounded defence. On the defence side: Item 1 states that in the manufacturing services market "there are significant barriers to entry in our existing and target markets, including lengthy sales cycles, the need to demonstrate complex precision optical and electro-mechanical engineering and manufacturing capabilities to a prospective customer and the ability to protect a customer's intellectual property," and that qualification of a program "may take three to six months or longer to complete." On the limiting side, the same filing shows the protection does not reach price: gross profit was 12.0% of revenues in FY2026 against 12.1% in FY2025 and 12.4% in FY2024 even as revenue rose 35.7% to $4.64 billion, four customers each exceeded 10% of revenue (Cisco 19.9%, NVIDIA 16.3%, Nokia 10.7%, Amazon 10.5%), and "reliance on a small number of customers gives those customers substantial purchasing power and leverage in negotiating contracts with us." Sales are made on "individual purchase orders that have short lead times and are subject to revision or cancellation," so the qualified program is sticky while the contract is not. | wide ASML's FY2025 20-F states it "is currently the world's only manufacturer of EUV lithography systems" — an effective monopoly on the extreme-ultraviolet tools required to pattern leading-edge logic and memory chips. | narrow Narrow, not wide, because the FY2026 10-K documents a strong installed base and a competitive position the company itself says is under erosion. On the asset side: revenue of $4.7 billion (29% growth in each of the last three fiscal years), 13,328 total customers up from 10,996, 790 of the Forbes Global 2000 contributing about 43% of revenue, 733 customers above $1 million in trailing-12-month product revenue up from 576, a 125% net revenue retention rate, and more than 1,050 issued U.S. patents. Against that, Item 1A states plainly that adopting open data formats like Apache Iceberg means 'there is less customer “lock in” when our products are used in external environments' and that 'our support of open data formats may also reduce switching costs between us and our competitors'; that AWS, Azure and GCP 'generally compete in all of our markets' while also supplying the infrastructure a 'substantial majority of our business is run on'; and that the company remains loss-making at $1.3 billion of net loss for the year. |
| Moat type | switching costs The 10-K locates the stickiness in qualification rather than in patents or scale. Customers "do not purchase our services until they qualify the services and satisfactorily complete factory audits and vendor evaluations"; qualification "may take three to six months or longer"; production is transferred "copy-exact: the setup of a production process identical to the one used by our customer"; and the filing's own experience of changing a component source is that it "resulted in our customers or their end customers requiring requalification and validation of components, a process that can often be lengthy and has negatively impacted the timing of our revenue" — the same friction a customer would face moving the program elsewhere. The filing rules out an IP-based moat itself: "Historically, patents have not played a significant role in the protection of our proprietary rights," and any process improvement developed for a customer's product is "immediately assigned to that customer." The Thailand cost base is a genuine advantage but the filing warns it is not durable on its own — "Wage increases may impact our ability to sustain our competitive advantage and may reduce our profit margin." | intangibles ip The durable advantage rests on decades of proprietary technology and IP — the 20-F describes ASML's April 2025 1,000-watt EUV light source as "built on 25 years of engineering advancements" — reinforced by an exclusive arrangement with Carl Zeiss SMT as its "sole supplier" of the critical optics no rival can source. | switching costs The filing makes its own affirmative claim of network effects — 'Our business benefits from powerful network effects. ... The more customers adopt our platform, the more data can be exchanged with other Snowflake customers, partners, data providers, and data consumers' — but the load-bearing, quantified evidence in the document points to switching costs. The platform is sold as the way to 'consolidate data into a single source of truth,' and the disclosed economics of that consolidation are a 125% net revenue retention rate and 733 customers above $1 million in trailing product revenue. Item 1A confirms the mechanism by naming what is at risk: open formats produce 'less customer “lock in”' and 'may also reduce switching costs.' The filing frames lock-in, not network density, as the thing erosion would take away. |
| Leadership | co leader The leadership claim in the filing is the company's own qualitative assessment: "We believe we are a leader in manufacturing products for the optical communications market," and, on breadth of process technology, "Based on our experience with customers and our qualitative assessment of our capabilities, we believe we provide a broader array of process technologies to the optics industry than any other manufacturing services provider." The same Item 1 names a crowded field against it — "Benchmark Electronics, Inc., Celestica Inc., InnoLight Technology (Suzhou) Ltd., Jabil Inc., Sanmina Corporation, Venture Corporation Limited and Eoptolink Technology Inc., Ltd., as well as the internal manufacturing capabilities of our customers" — and no independent share ranking is given, so the record supports front-of-field standing but not sole primacy. | clear leader Effectively 100% of the EUV market as the world's only EUV system maker; in the older DUV segment it "compete[s] primarily with Canon and Nikon" yet remains the leading supplier. | co leader The 10-K contains no ranking, market-share figure, or claim of leadership, and it names no non-hyperscaler competitor by name. The band rests on disclosed scale — $4.7 billion of revenue, 13,328 customers, 9,060 employees across 36 countries — set against the filing's own statement that 'many of our competitors have substantially greater brand recognition, customer relationships, and financial, technical, and other resources than we do.' Co-leader among independent cloud data platforms; not a leader over AWS, Azure and GCP, which the filing says compete in all of its markets. |
| Pricing power | weak Gross profit was 12.0% of revenues in FY2026, 12.1% in FY2025 and 12.4% in FY2024 — flat to down across three years in which revenue grew from $2.88 billion to $4.64 billion — and the FY2026 increase in gross profit is attributed to "sales volume and product mix," not price. Item 1 says so directly: "we expect the prices we charge for our manufactured products to decrease over time (partly as a result of competitive market forces)," with the offset coming from cycle-time, mix, yield and material-cost work rather than from rate. The risk factors add that customer consolidation gives buyers "increased leverage that may result in, among other things, decreases in our average selling prices," and that new competition "could result in price reductions for our services, reduced gross profit margins or loss of market share." | strong FY2025 gross margin of 52.8%, up 1.5 percentage points year over year, with management guiding toward 56-60% by 2030 — consistent with monopoly pricing power on EUV tools. | moderate The consumption model plus 125% net revenue retention shows real expansion pricing, and the filing argues it competes on 'pricing transparency and optimized price-performance.' But Item 1A limits how far that goes: competition 'may negatively impact our ability to acquire new customers ... put downward pressure on our prices and gross margins'; the company 'may not be able to ... offer as many discounts or free services as our competitors'; results depend on 'changes in our pricing model, including in response to significant price discounts by our competitors' and on 'customer optimization efforts that result in reduced consumption.' On the cost side, 'our costs and gross margins are significantly influenced by the prices we are able to negotiate with these public cloud providers, which in certain cases are also our competitors.' |
| Summary | Fabrinet is the neutral outsourced factory for complex photonics. The FY2026 10-K describes a business that wins on qualification and IP hygiene rather than on product ownership: a "factory-within-a-factory" that physically segregates each customer's engineers and floor space, copy-exact line transfers, Telcordia-grade environmental qualification, and a claim that "there is no other manufacturing services provider with a similar breadth and depth of optical and electro-mechanical engineering and process technology capabilities that does not directly compete with its customers in their end-markets." That neutrality is claimed as a belief, not demonstrated — the filing's own framing is "we believe" — and Item 1 names the field it is measured against without characterising any of them: "Benchmark Electronics, Inc., Celestica Inc., InnoLight Technology (Suzhou) Ltd., Jabil Inc., Sanmina Corporation, Venture Corporation Limited and Eoptolink Technology Inc., Ltd., as well as the internal manufacturing capabilities of our customers." Once a program is qualified it tends to stay, and "in many cases, we are the sole outsourced manufacturing partner used by our customers for the products that we manufacture for them." What the moat does not buy is margin. Revenue grew 35.7% in FY2026 to $4.64 billion on the AI-datacenter build-out — data center products are now 47.9% of revenue — yet gross margin slipped to 12.0%, and Item 1 concedes the company expects "the prices we charge for our manufactured products to decrease over time." The two live erosion paths are named in the risk factors: customer consolidation that "may result in, among other things, decreases in our average selling prices," and customers who "acquired the capacity to manufacture products in-house." Concentration cuts both ways this year — FY2025 had two customers above 10% of revenue, FY2026 had four, so the book broadened even as its scale grew. | ASML is the sole producer of EUV lithography systems, the only tools able to pattern the most advanced logic and memory nodes, with a roadmap "intended to drive affordable scaling to 2030 and beyond" and a High-NA EUV (TWINSCAN EXE) platform on which customers "had run more than 400,000 wafers" by end-2025. That dominance is protected by 25 years of accumulated engineering IP and an exclusive lock on Carl Zeiss SMT optics that competitors cannot replicate. | Snowflake's advantage in its FY2026 10-K rests on being the consolidation point for enterprise data: a multi-cluster shared-data architecture with proprietary columnar storage and automatic micro-partitioning, delivered across three major public clouds and 53 interconnected regional deployments, that customers adopt as a single governed source of truth and then expand on — 125% net revenue retention, 790 of the Forbes Global 2000 as customers. The filing layers a collaboration claim on top, with sharing 'generally without copying or moving the underlying data' and a Marketplace of 'hundreds of live, ready-to-query third-party data sets and data products.' The same document is unusually candid about the counter-pressure: Iceberg and open formats reduce lock-in by the company's own account, the three hyperscalers compete across every market while setting the cloud costs that 'significantly influence' gross margins, and frontier AI model providers 'may seek to vertically integrate ... by expanding into the data storage and management layers.' |
| Chain position | A contract manufacturer sitting between optical components and the network and AI-datacenter OEMs whose brands ship the finished box. FY2026 revenue is 47.9% data center, 33.3% communications infrastructure and 18.8% automotive, industrial and other markets (FY2025: 46.2% / 30.7% / 23.1%), with Cisco, NVIDIA, Nokia and Amazon each above 10% of revenue. Fabrinet also integrates one layer down, designing and fabricating its own customized optics and glass — crystals, ferrules, precision glass tubing — at Fuzhou, China and Mountain Lakes, New Jersey, both for its own assemblies and for the merchant market, while volume manufacturing runs from the Pinehurst and Chonburi campuses in Thailand. | Upstream chokepoint of the AI chip supply chain: every leading-edge logic/DRAM wafer for AI accelerators is patterned on ASML EUV tools, making it the single indispensable equipment supplier to TSMC, Samsung and Intel. | Sits at the enterprise data and governance layer of the AI stack, and the AI exposure is explicit rather than incidental: the filing brands the product the 'AI Data Cloud,' lists AI as a product category, and put Snowflake Intelligence, Cortex Agents and a Managed MCP Server into general availability during the fiscal year. It is a buyer of hyperscaler compute and of third-party frontier models — 'strategic partnerships with foundational model providers deliver state-of-the-art models natively within Snowflake Cortex AI,' with stated 'model neutrality' — and a supplier of governed enterprise data and GPU-backed managed compute to AI applications built on top. |
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| Long-horizon vote | +0.05 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. |