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.
| GitLab | United Microelectronics Corporation | CoreWeave | |
|---|---|---|---|
| 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. | narrow The FY2025 20-F Competition section cuts both ways: UMC calls itself "one of the world's largest independent semiconductor foundries" with production capacity "currently among the largest of all semiconductor foundries in the world" and says it believes it competes favorably with competitors on each principal element of foundry competition, yet in the same section concedes that "[s]ome of our competitors have substantially greater production, financial, research and development and marketing resources than we have" and that "several new dedicated foundries have commenced operations and compete directly with us," whose entry is "likely to initiate a trend of competitive pricing and create potential overcapacity in legacy technology" that "may erode our profit margins." A real but bounded advantage, not a durable wide one. | 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 | 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." | intangibles ip The 20-F states plainly that "Our success depends on our ability to obtain patents, licenses and other intellectual property (IP) rights covering our production processes and activities," and reports more than 16,700 patents worldwide as of December 31, 2025, of which more than 7,490 are in the U.S., 623 domestic and foreign patents granted in 2025 alone, NT$17,725 million of R&D (7.5% of operating revenues) and 1,591 R&D professionals. The Competition section names where UMC believes it wins: it competes favorably "particularly [on] our technical competence and research and development capabilities." The proprietary specialty-process library, not scale or a network, is the cited source of the 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 | 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. | fast follower UMC describes a deliberate follow strategy in the 20-F: it intends "to avoid investments in technologies that do not present commercial potential for volume production" and believes "it is beneficial to defer investment in premature equipment needed to claim the earliest advanced technology and instead to purchase more advanced and less expensive versions of such equipment from vendors who design this equipment based on pre-production lessons learned from the earliest technology." The node ladder bears this out: the most advanced process in production in 2025 is Fab 12A's 0.014 micron, wafers at 14 nanometers and under rounded to 0.0% of wafer sales in each of 2023, 2024 and 2025, and the next rung — UMC's own 12nm FinFET process, which Intel replicated in 2025 "based on our electrical design rules and UMC-verified process" for manufacture at its Arizona fab — is only "expected to begin in 2027." | 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 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." | weak The 20-F claims no premium — "our current level of pricing is comparable to that of other leading foundries in each respective geometry" — and reports that 2025 average selling price declined 5.4%, driving gross margin down from 32.6% in 2024 to 29.0% in 2025 even as 12-inch-equivalent wafer shipments rose from 3,446 thousand to 3,870 thousand and average capacity utilization improved from 68.7% to 75.2%. It also notes that "[p]rices for wafers of a given level of technology generally decline over the processing technology life cycle." | 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 | 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". | UMC's durable asset is a proprietary mature- and specialty-node process library — 55/40/28/22nm embedded memory for MCU and automotive, 55/40/28/22/14nm embedded high-voltage for display drivers, 110/55nm BCD for power management, 55/28/22nm BSI-CSI for image sensors and 110/90/55/40nm RF-SOI — backed by more than 16,700 patents worldwide at end-2025 and 7.5% of revenue spent on R&D. That library keeps a concentrated customer base qualified into UMC's fabs (top ten customers were 57.0% of 2025 operating revenues; Texas Instruments, Intel, MediaTek, Realtek and Novatek are named as primary customers). What it does not buy is price: 2025 average selling price fell 5.4% and gross margin fell from 32.6% to 29.0%, while the filing warns that new dedicated foundries are likely to initiate competitive pricing and overcapacity in legacy technology. | 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 | 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. | Mature- and specialty-node wafer supplier: 2025 wafer sales were 41.4% communication, 30.6% consumer and 11.6% computer, with the AI tie indirect — 2.5D silicon interposers with deep-trench capacitors shipped to major customers for HPC, cloud computing and LLM applications. | Layer-8 purpose-built AI neocloud — first-to-deploy NVIDIA systems for training and inference at scale. |
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| Long-horizon vote | +0.06 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |