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 | Digital Realty Trust | 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. | narrow The FY2025 10-K's own competitive record cuts both ways. Item 1 says a "high-quality, highly interconnected global portfolio such as ours could not be easily replicated today on a cost-competitive basis," yet Item 1A concedes that competitors have "significantly greater financial, marketing and other resources and more ready access to capital" and that as rivals keep developing space, "rental rates may be reduced or we may face delays in leasing." A durable advantage that its own filing says new supply can price against is bounded, not unassailable. | 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." | network effects Item 1 attributes the hard-to-replicate part of the portfolio to connectivity rather than to real estate: "the network density, interconnection infrastructure and connectivity-centric customers in certain of our data centers have led to the organic formation of densely connected data communities that are difficult for competitors to replicate." That community sits on over 232,000 cross connects in over 55 metros, so each network and cloud that lands makes the same building worth more to the next tenant. | 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. | co leader Item 1 claims the title of "the largest global provider of cloud- and carrier-neutral data center, colocation and interconnection solutions," but the Competition section names Equinix and NTT as operators of properties "similar to ours in some of the same metropolitan areas," plus Global Switch and regional operators abroad — a shared top tier on the company's own telling, not a solitary one. | 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 renewals signed re-priced upward in every bucket — +27.0% on greater-than-1 MW space ($146 to $186 per square foot), +4.6% on 0-1 MW ($268 to $280) and +43.0% on other ($49 to $71) — and MD&A expects average aggregate rental rates on 2026 renewals to be positive against the rates currently paid for the same space "on a GAAP basis and on a cash basis." On costs, the filing says utilities expense "is our largest expense category" and that "the vast majority of the expense is passed directly through to our customers," which it credits with significantly mitigating exposure to power-cost increases rather than removing it. The cap: Item 1A warns competitor development could still force rates down. | 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. | Digital Realty rents space, power and connectivity rather than compute: at 2025 year-end its portfolio held 310 data centers and roughly 57.6 million rentable square feet across more than 55 metros in over 30 countries, about 84.7% leased, serving more than 5,000 customers. Two different businesses sit inside that footprint. The greater-than-1 MW wholesale side is a capital-and-power race — 769 MW of projects underway with 64% pre-leased, and land that "could accommodate over 3,500 megawatts of additional data center capacity" — where the 10-K names Equinix, NTT, Global Switch and "various private operators" as rivals and warns that added supply can push rents down. The colocation and interconnection side is the defended half: over 232,000 cross connects and the "densely connected data communities" Item 1 says competitors cannot easily replicate, reinforced by contracts the filing describes as generally running 5-10+ years on large deployments and by improvements "installed at our customers' expense." FY2025 leasing supports that read — renewals signed re-priced +27.0% on greater-than-1 MW space and +4.6% on 0-1 MW — while customer concentration is the offsetting exposure, with the largest customer at roughly 11.7% of annualized recurring revenue. | 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. | Landlord to the AI stack — sells the space, power and interconnection that cloud, network and enterprise tenants run compute in (Oracle, IBM, Meta Platforms, AT&T, Comcast and Lumen are among the customers named in Item 1), with roughly 2.9 GW of total in-place IT capacity. | 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. | +0.17 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |