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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.

comparing GitLab×GlobalFoundries×Snowflake× maximum of 3 — remove one to swap
GitLab GTLB ai moat: latest change 2026-08-05 GlobalFoundries GFS ai moat: latest change 2026-02-27 Snowflake SNOW ai moat: latest change 2026-03-20
Moat rating narrow

The FY2026 10-K (year ended 2026-01-31) shows real expansion inside the installed base: 118% Dollar-Based Net Retention, Base Customers up to 10,682 from 9,893, customers above $100,000 of ARR up to 1,456 from 1,229, and $1.0 million ARR customers "to 155 from 123, an increase of 26%". But the filing concedes "limited barriers to entry" and names "Microsoft Corporation, which owns GitHub" as principal competitor. Retention decelerates (130% FY2024, 123% FY2025, 118% FY2026), and since DBNR is reported "on a threshold basis of 130%," the FY2024 figure is a cap and the slide is steeper than it looks. Narrow, not wide: expansion must be re-won against a bundled hyperscaler.

source: sec.gov

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.

source: sec.gov

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.

source: sec.gov

Moat type switching costs

Stickiness comes from platform embedding, not IP. The 10-K rests differentiation on "our single platform with a unified data model," on "Consolidation of multiple tools into a single platform," and on deployment inside the customer's own perimeter for regulated buyers. Replacement means re-integrating a toolchain and re-certifying compliance. IP is the wrong label: only "16 issued patents and 25 pending patent applications," plus open-source licenses granting "broad permissions to use, copy, modify, and redistribute." The no-lock-in claim is the filing's own characterisation, footnoted to a Forrester study "commissioned by GitLab."

source: sec.gov

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.

source: sec.gov

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.

source: sec.gov

Leadership fast follower

The 10-K positions GitLab against a leader rather than as one: "Our principal competitor is Microsoft Corporation, which owns GitHub." Competition reads from the challenger side, differentiating "from GitHub through flexible deployment options that work within enterprise security and compliance requirements, LLM neutrality with self-hosted gateway support" and an open core model. On AI it follows: Duo Agent Platform went "Generally available in January 2026," the last month of the fiscal year. What keeps it a follower rather than behind is cadence, "a new version of our software every month for 172 months in a row," plus a regulated-deployment franchise a SaaS-first rival does not cover.

source: sec.gov

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.

source: sec.gov

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.

source: sec.gov

Pricing power moderate

FY2026 gross margin was 87% against 89%, with cost of revenue up $35.6 million "primarily due to an increase of $18.4 million in third party hosting costs for SaaS and cloud usage," and management expects SaaS and Duo mix to bring costs that "may adversely impact our gross margins." Strain is explicit: GitLab "may be required to reduce our prices," competitors "may offer their products and services at a lower price or for free," and it "implemented user limits on our free SaaS product." Power retained: Premium lists at $29 per user/month billed annually, and seats bundle $12 and $24 of GitLab Credits. But "A majority of our subscriptions are on a one-year period."

source: sec.gov

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.

source: sec.gov

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.'

source: sec.gov

Summary

GitLab sells a single-platform DevSecOps toolchain defended by workflow lock-in rather than intellectual property: a unified data model plus deployment flexibility, including single-tenant "Dedicated for Government with FedRAMP compliance," makes it hard to remove where data residency is contractual. The installed base expands: 118% Dollar-Based Net Retention, 10,682 Base Customers, 1,456 above $100,000 of ARR, 155 above $1.0 million (up 26%), over 70% of ARR from public sector and enterprise. The filing supplies the counterweight: "limited barriers to entry," Microsoft/GitHub as principal competitor, 16 issued patents. Retention (130 to 123 to 118, the 130 a cap), gross margin (89% to 87%) and a January 2026 AI launch point to compression at the commodity end. No source measures market share, so every share band is "unknown".

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.

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

GitLab sits at the software-tooling layer, not compute or models. It consumes third-party LLM capacity — marketing "LLM neutrality and support for self-hosted AI gateways, including air-gapped environments" — so it captures no model-layer economics and bears inference as COGS, visible in the $18.4 million rise in hosting costs. Its distinctive position is the regulated perimeter.

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.

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.

Products (share / barrier)
  • Enterprise Agile Planning add-on Unknown · Low source: sec.gov
  • GitLab Dedicated (including Dedicated for Government) Unknown · Deep source: sec.gov
  • GitLab DevSecOps Platform (Free, Premium, and Ultimate tiers) Unknown · Moderate source: sec.gov
  • GitLab Duo Agent Platform (with GitLab Credits) Unknown · Low source: about.gitlab.com
  • Self-Managed GitLab (on-premises and hybrid cloud deployment) Unknown · Deep source: sec.gov
Long-horizon vote +0.06 at weight 0.20 · swarm neutral

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+0.06 at weight 0.20 · swarm neutral

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+0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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