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.
| IREN | GitLab | Lam Research | |
|---|---|---|---|
| Moat rating | none The FY2026 10-K (filed 2026-08-27) shows IREN holds an input the industry competes on: it names 'access to secured and energized power' first among what it believes are the principal competitive factors in its industry, and reports 'executed grid connection agreements, letters of agreement or equivalents representing approximately 5GW of total power capacity' in the United States, Canada, Spain and Australia as of June 30, 2026. It does not claim an advantage over rivals in that input. It says 'Certain competitors may have access to more competitively priced power, a greater access to power and a better capacity to timely secure grid connections,' and 'Many of our competitors have greater financial, technical or commercial resources, longer cloud operating histories or larger customer bases, compared to us.' Operating AI Cloud Services capacity was approximately 40MW at June 30, 2026, and the stored XBRL fundamentals from this 10-K show an FY2026 operating loss of about $1,046.7M on revenue of about $707.0M, so no durable advantage is yet demonstrated. | 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. | wide The FY2026 10-K competition section describes tool-level qualification lock-in as the structural fact of the industry: 'semiconductor manufacturers must make a substantial investment to qualify and integrate new capital equipment into semiconductor production lines. As a result, once a semiconductor manufacturer has selected a particular supplier's equipment and qualified it for production, the manufacturer generally maintains that selection for that specific production application and technology node as long as the supplier's products demonstrate performance to specification in the installed base.' The filing then sizes what that incumbency is worth: of 23,232,690 thousand dollars of FY2026 revenue, 8,347,202 thousand - about 36% - was customer-support-related revenue and other, which the same document defines as 'sales of customer services, spares, upgrades, and non-leading-edge equipment' sold back into the installed base. A qualified position plus a third of revenue annuitised against it is a durable barrier rather than a cyclical one. |
| Moat type | none The FY2026 10-K's asserted advantage is control from owning its data centers, 'including the associated land, grid connections and substations', which it believes allows it 'to benefit from more sustainable cash flows and operational flexibility relative to operators that rely upon third-party colocation services or short-term land leases'. Its only scale language is a belief that its 'procurement scale, deployment experience and direct control over the data center layer' lets it bring new compute into service 'rapidly and at scale', a deployment-speed claim, and it 'generally target[s]' regions with 'low-cost and attractive renewable energy sources', a siting target rather than a demonstrated cost position. It does not claim a cost or scale lead: it says 'Many of our competitors are larger, have longer operating histories and significantly greater resources than we do' and that certain competitors 'may have access to more competitively priced power, a greater access to power and a better capacity to timely secure grid connections.' There is no network effect or lock-in either, since existing contracts have 'terms ranging from month to month up to five years'. No enumerated moat source is grounded. | 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." | switching costs The 10-K grounds the advantage in the cost of requalification, not in scale or patents: a customer that has qualified a competitor's tool is hard to win, and conversely Lam's own qualified positions persist for that application and node. The same section adds that the company must keep serving 'our installed base of customers through the delivery of high-quality and cost-efficient spare parts', naming the installed base as the asset being defended. |
| Leadership | behind The 10-K lists IREN's competitors as hyperscalers (Amazon Web Services, Google Cloud, Microsoft Azure, Oracle Cloud) and specialized AI Cloud Services providers (CoreWeave, Nebius, Crusoe, Lambda, Nscale, SpaceX and others). It says IREN began providing AI Cloud Services in 2024 and cites its 'shorter operating history in AI Cloud Services relative to some competitors', and states 'Some of our competitors have longer operating histories, larger customer bases, more comprehensive IP portfolios and patent protections, more design wins, and greater financial, sales, marketing and distribution resources than we do.' Operating AI Cloud Services capacity was approximately 40MW at June 30, 2026. The filing describes a smaller, later entrant that trails some competitors on operating history, customer base and resources, with its progress so far resting on two anchor contracts (a ~$9.7B five-year Microsoft agreement and a ~$3.4B five-year NVIDIA contract) rather than any claimed category position. | 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. | co leader The 10-K claims position but not primacy: 'We believe we are in a strong position with our leadership and expertise in deposition, etch, and clean markets.' The same document names Applied Materials as primary competitor in deposition and Applied Materials, Hitachi and Tokyo Electron as primary competitors in etch, which is a shared-leadership structure rather than a clear single leader. |
| Pricing power | weak The 10-K's risk factors state 'Our competitors' products, services and technologies may be cheaper or provide better functionality or features than ours, which has resulted and may in the future result in lower-than-expected selling prices or demand for our products.' They also say long-term contract pricing 'is generally fixed or agreed at the time of contracting', so if market pricing for comparable capacity rises during a contract's term 'we will not benefit from those increases with respect to capacity already committed under our existing long-term contracts', and that if customers suffer a downturn or discontinue its services it 'may be compelled to offer more flexible terms, lower our prices or risk losing a significant customer.' The stored XBRL fundamentals from this 10-K show FY2026 revenue of about $707.0M against an operating loss of about $1,046.7M, so there is no margin record yet that evidences 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." | moderate Real but bounded, and the filing is explicit that the recent gain was mix rather than price. Gross margin as a percent of total revenue rose 180 basis points to 50.5% in fiscal 2026 from 48.7% in fiscal 2025 (gross margin of 11,725,308 thousand dollars on revenue of 23,232,690 thousand, against 8,979,059 on 18,435,591; 7,052,791 on 14,905,386 in fiscal 2024), and the MD&A attributes that: 'Gross margin as a percentage of revenue increased in fiscal year 2026 compared to fiscal year 2025 largely due to favorable customer mix, partially offset by aluminum and steel tariff-related spend.' Against it, the same filing says manufacturers evaluate suppliers on 'overall cost of ownership', that the spares business competes with third-party spare parts providers, and that the customer list is a handful of very large buyers (Micron, Samsung, SK hynix and TSMC named as the most significant customers). |
| Summary | Per its FY2026 10-K, IREN is a vertically integrated AI Cloud Services platform that owns the data center, compute and software layers, underpinned by executed grid connection agreements, letters of agreement or equivalents representing ~5GW and a further multi-GW development pipeline. Its commercial record is concentrated: a five-year Microsoft agreement (~$9.7B total contract value, Horizon 1 delivered and accepted in August 2026, Horizons 2-4 targeted for delivery in phases in calendar Q4 2026) and a five-year ~$3.4B NVIDIA cloud contract together make up a substantial majority of contracted revenue. It holds NVIDIA Preferred Partner and Exemplar Cloud status (HGX B300 and GB300 NVL72) and a strategic partnership intended to support the deployment over time of up to 5GW of NVIDIA DSX-aligned infrastructure, which the filing cites among arrangements that are non-binding or subject to conditions, with no assurance as to the extent of deployments. Against that, the filing names hyperscaler and specialized competitors (AWS, Google Cloud, Azure, Oracle, CoreWeave, Nebius, Crusoe, Lambda, Nscale, SpaceX), many of which it says have greater resources, customers that can use or develop their own solutions, and possible delays to Texas energization from changes to ERCOT's Batch Zero procedures, so the power position is not a demonstrated advantage over rivals and its value depends on execution. | 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". | Lam sells etch, deposition and clean tools into a per-node, per-application qualification process that its own 10-K says customers generally do not revisit once a supplier is qualified. The result is two linked economics, and the FY2026 filing splits them: systems revenue of 14,885,488 thousand dollars and customer-support-related revenue and other of 8,347,202 thousand, on total revenue of 23,232,690 thousand. The second line is the installed-base annuity - services, spares, upgrades and refurbished Reliant tools sold wherever Lam already holds the process step. The 10-K names Applied Materials as the primary competitor in dielectric and metals deposition, ASM International and Wonik IPS in ALD/PECVD, and Applied Materials, Hitachi and Tokyo Electron in etch, so this is shared rather than sole leadership. The live erosion risk is policy, not a rival product: China was 34% of revenue in both fiscal 2026 and fiscal 2025 (7,859,811 thousand dollars in FY2026, the largest single region), and the filing states that U.S. export controls on sales to customers in China, including entity listings of multiple customers, restrict sales of equipment and spare parts by U.S. suppliers and thereby 'provides an advantage to our international competitors that are not subject to these restrictions'. |
| Chain position | Downstream AI-cloud operator: owns grid-connected data centers and deploys NVIDIA/AMD GPU systems it rents to hyperscalers, frontier labs, AI developers and enterprises (anchor customers Microsoft and NVIDIA). | 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. | Upstream wafer-fabrication-equipment supplier; the 10-K names Micron, Samsung, SK hynix and TSMC as its most significant customers across FY2024-FY2026, so Lam sits one step above the memory and foundry capacity that AI compute depends on. |
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| Long-horizon vote | -0.20 at weight 0.20 · swarm bearish Editorial prior, not backtested. | +0.06 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.30 at weight 0.20 · swarm neutral Editorial prior, not backtested. |