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.
| GlobalFoundries | Alibaba Group | Snowflake | |
|---|---|---|---|
| Moat rating | narrow The FY2025 20-F gives a measured lock-in: approximately 63% of 2025 wafer shipment volume was single-sourced business - products GF says "can only be manufactured with our technology or cannot be manufactured elsewhere without significant customer redesigns" - and long-term agreements carried an aggregate remaining revenue commitment of approximately $11 billion at 31 December 2025, as "binding, multi-year, reciprocal minimum purchase and supply commitments". That advantage is bounded by admissions in the same filing: "some of our competitors may offer more advanced or differentiated technologies than we do and some have greater access to capital and substantially greater production capacity, research and development... including access to government subsidies"; China's mature-node "foundry capacity is expected to grow faster than expected demand at those nodes"; and GF "renegotiated a number of LTAs with certain of our customers, including in 2025, as a result of which some of our LTAs now have longer commitment periods... and some of our LTAs have lower pricing or volume commitments than originally negotiated". Gross margin of 24.9% in 2025 ($1,690m on $6,791m of net revenue) on essentially flat revenue is the economics of a position that is defended rather than uncontested. | wide The FY2026 20-F rests on two entrenched positions: a commerce ecosystem the filing ties to 'the world's largest online retail market' with 'over 1.1 billion Internet users,' and a cloud business whose 'Cloud Intelligence Group's external revenue growth accelerated to 40% in the final quarter of fiscal 2026, with AI-related products accounting for 30% of this revenue.' Two durable franchises under one roof is a wide moat — bounded by China regulation and US ICTS cloud controls the same filing flags. | 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 filing rules out scale as the source: GF concedes competitors with "substantially greater production capacity, research and development" and its four fabs held roughly 2.8 million wafers per annum of installed capacity at end-2025 against a $6.8bn revenue base. The mechanism it names instead is the cost of moving a qualified design - "[g]iven the time and costs associated with moving a single-sourced product to a competitor, clients are more likely to continue awarding us single-source contracts for such products" - and it is quantified at approximately 63% of 2025 wafer shipment volume. It is contractually reinforced by the ~$11bn of remaining LTA revenue commitment, which GF says continues to matter "for certain longer term, more durable end markets, such as automotive", where 21% of 2025 net revenue ($1,410m) now sits. | network effects The 20-F names 'the network effects of our ecosystems' among the factors its business depends on: Taobao and Tmall, Alipay, Amap and the rest compound as buyers, sellers and services reinforce each other across one integrated ecosystem. | 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 | fast follower The 20-F places GF inside a group of "five major foundries (including four scaled pure-play foundries) that accounted for the vast majority of worldwide foundry revenue in 2025", naming TSMC first among key competitors along with UMC and SMIC, and separately conceding competitors with "more advanced or differentiated technologies than we do" and "substantially greater production capacity, research and development, marketing and other resources". GF does not compete for the leading edge at all; its stated pillars are differentiated RF, FDX, silicon photonics, power and feature-rich CMOS plus geographic diversity. That is an established, scaled participant operating inside a pace set elsewhere, not one setting it, and not one shut out of the top tier. | clear leader The 20-F claims leadership in applied AI ('strengthened our leadership in applied AI') and roots the commerce business in the world's largest online retail market; Alibaba Cloud is the leading China hyperscaler pivoting to AI, per the segment discussion — a category leader in both its home markets. | 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 | moderate Gross margin was 24.9% in 2025 ($1,690m on $6,791m) versus 24.5% in 2024 ($1,651m on $6,750m) - held, not expanded, even though average shipment utilization across the global fabs rose from 77% to 86%, so most of the volume gain was absorbed rather than dropping through. The filing states outright that "the market prices for technology and services tend to fall over time, except in times of extreme supply shortage", and discloses LTAs renegotiated in 2025 to "lower pricing or volume commitments than originally negotiated". Against that, GF says wafer price "varies significantly across technology platforms" and that devices with "richer feature sets, higher performance, better yields and greater system-level integration... generally command higher wafer prices". Price-setting inside designed-in single-sourced sockets, price-taking at the competitive margin. | moderate Ecosystem lock-in and cloud scale support pricing, but the filing warns that if 'user activity and engagement in our ecosystem may decrease … our market share and profitability may be negatively affected,' and Chinese e-commerce/cloud competition is intense — real but capped pricing power. | 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 | GlobalFoundries is a pure-play specialty foundry that deliberately does not contest the leading edge. Its FY2025 20-F frames the business around six differentiated technology lines - feature-rich CMOS, ultra-low-power CMOS (FinFET and FDX), silicon photonics, RF, power, and, new in 2025, processor IP via the MIPS acquisition - manufactured at four fabs in Malta NY, Burlington VT, Dresden and Singapore, which GF describes as making it "the only scaled foundry with a global manufacturing footprint spanning the United States, Europe, and Asia operating for more than a decade". The defence that shows up in the numbers is design lock-in rather than cost: approximately 63% of 2025 wafer shipment volume was single-sourced, and ~$11bn of long-term agreement revenue commitment remained at year-end. What limits it is visible in the same document - competitors with more capital, more capacity and, in some cases, more advanced technology; mature-node capacity in China expected to outgrow demand at 28nm and larger; TSMC, Samsung, Intel, Texas Instruments and UMC all building in the United States, Europe or Singapore, which erodes the geographic-diversity argument GF calls "one of our key advantages". Pricing reflects that balance: 2025 gross margin of 24.9% against 24.5% in 2024 even as shipment utilization rose from 77% to 86%, with some LTAs renegotiated to lower pricing. AI exposure is real but indirect - Communications, Infrastructure & Data Center was 11% of 2025 net revenue, and GF's AI content is optical interconnect, RF, sensing, power and edge processor IP rather than accelerator logic. | Alibaba is a commerce network and an AI cloud fused into one ecosystem. The retail side draws its moat from network effects the filing names explicitly, rooted in the world's largest online retail market; the cloud side is pivoting hard into AI — Alibaba Cloud's 'growth engine fully pivots from traditional compute and storage to models, AI compute, and agent services,' anchored by the in-house Qwen family (Qwen3.7-Max 'specifically engineered for agents') and the PAI platform. The 20-F's own framing is 'leading full-stack capabilities across the AI value chain.' The counterweights are structural rather than competitive: a Cayman VIE structure, China's regulatory environment, and the US Commerce Department's proposed ICTS cloud-computing controls the filing discloses. | 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 | Pure-play specialty foundry. Inputs are silicon and specialised SOI wafers bought under multiple long-term agreements with principal suppliers, "the largest of which is Soitec", plus externally sourced EDA tools and third-party IP. Output is finished semiconductor wafers, approximately 89% of 2025 net revenue, sold to fabless designers and IDMs and delivered through the GlobalSolutions ecosystem of IP providers, EDA vendors, OSAT partners and design-service firms; the remaining ~11% is photomasks, sourcing and post-fab services, and IP licence and royalty income. Manufacturing sits at four sites - Malta NY, Burlington VT, Dresden and Singapore - with roughly 239,000 square metres of clean room and about 2.8 million wafers per annum installed capacity at end-2025. Position in the AI chain is one step removed from accelerators: Communications, Infrastructure & Data Center was 11% of 2025 net revenue ($745m), with content in optical interconnect, RF front-ends, timing and power, alongside edge-AI processor IP from the MIPS acquisition. | Layer-8 hyperscaler + AI-application incumbent: Alibaba Cloud supplies AI compute and the Qwen models while the commerce ecosystem is a vast applied-AI distribution surface. | 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 | +0.06 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.38 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |