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.
| RELX plc | GitLab | Equinix | |
|---|---|---|---|
| Moat rating | wide Independent sources support entrenched positions in RELX's two content businesses. In legal research, a Stanford-led study of legal AI tools (arXiv 2405.20362v1, 2024-05-30, https://arxiv.org/html/2405.20362v1) says Thomson Reuters and LexisNexis "have historically enjoyed a virtual duopoly over the legal research market" (citing a 2006 article for that point) and "continue to be two of the largest incumbents now selling legal AI products". In scientific publishing, Larivière, Haustein and Mongeon in PLOS ONE (2015-06-10, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0127502) found Reed-Elsevier published 24.1% of natural and medical sciences papers in 2013, the largest share, and that its Scientific, Technical & Medical division's profit margin "steadily increased from 30.6% to 38.9% between 2006 and 2013." RELX's 2025 Annual Report (published 2026-02-19) shows the economics continuing: revenue of £9,590m, adjusted operating profit of £3,342m and an adjusted operating margin of 34.8% against 33.9% in 2024, with 54% of revenue from subscriptions. The limits are in the same report. Its principal risks say "We operate in highly competitive and dynamic markets" that change with "technological innovations, such as the use of artificial intelligence" and "the entrance of new competitors". Exhibitions holds "a global market share of less than 10%" in "a fragmented industry", and the Chair noted "share price volatility across a number of sectors, including software and data services." Long-held positions in legal research and scientific publishing, with margins that have kept rising, support a wide rating. The main threat is AI-native competition, which has not yet slowed reported growth. | 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 FY2025 10-K (filed 2026-02-11) grounds the advantage in an asset that took 27 years to assemble and that a competitor cannot buy: "Over our 27-year history, we have curated a diverse, industry-leading ecosystem of more than 500,000 interconnections", "over 10,500 customers, including 2,000+ network service providers and a leading market share of cloud-on ramps", across "280 data centers, in 77 markets in 36 countries", with "99.9999%+ operational uptime" delivered in 2025 and no single customer at 10% of revenue. Because the value of each IBX rises with who else is already inside it, incumbency compounds rather than decays. The counterweight is real and disclosed: Item 1A says "The global multi-tenant data center market is highly fragmented. It is estimated that we are one of more than 2,400 companies that provide these offerings around the world", and warns that competitors "may adopt aggressive pricing policies". That caps the pricing that the moat converts into, not its durability — the fragmentation sits in commodity space-and-power, while the interconnection density the filing describes has no comparable substitute. FY2025 revenue of $9.217B with operating margin recovering to 20.0% from 15.2% in FY2024 is consistent with the incumbency holding. |
| Moat type | intangibles ip RELX says its advantage is proprietary content and data. The 2025 Annual Report says it builds products by combining "our unique content and comprehensive data sets with advanced technologies", describes Lexis+ AI as "built and trained on one of the world's largest repositories of accurate and exclusive legal content", and cites more than 3,000 Elsevier journals including the Cell Press and The Lancet families. On the H1 2026 results call (2026-07-23, https://www.relx.com/~/media/Files/R/RELX-Group/documents/investors/transcripts/first-half-results-2026-transcript.pdf) the CEO said Risk grows by "leveraging our unique contributory and proprietary datasets, with over 90% of revenue coming from machine-to-machine interactions." Independent support comes from PLOS ONE (2015), which says libraries face a publisher oligopoly in which "each product represents a unique value and cannot be replaced". According to the annual report, in June 2025 LexisNexis agreed a strategic alliance with Harvey, an AI platform for legal and professional services, under which LexisNexis "will integrate its Lexis+ AI capabilities (powered by LexisNexis content) within the Harvey platform". Switching costs add to this: legal products are sold "on a paid subscription basis, with subscriptions often under multi-year contracts." | 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." | network effects The 10-K names the mechanism itself, twice and unprompted: "As more customers choose Equinix for high connectivity and performance reliability at the metro edge, it benefits their suppliers and business partners to colocate in the same data centers and connect directly with each other. This adjacency creates a network effect that attracts new customers while continuously enhancing our value proposition to existing customers", and in the Competitive Landscape section, "This ecosystem creates a network effect that improves performance and lowers the cost for our customers". The evidence is the count of participants rather than any patent or unit-cost claim — 500,000+ interconnections, 2,000+ network service providers, a leading share of cloud on-ramps, an Internet Exchange the filing calls "the largest global peering solution". Switching costs are a genuine second layer (fixed-duration contracts billed on space and power, physical cross connects into resident counterparties), but they are what holds a customer already inside the ecosystem; the reason to enter in the first place is who is already there. |
| Leadership | co leader RELX's own 2025 Annual Report ranks its businesses as Risk "Key verticals #1", STM "Global #1", Legal "US #2" and "Outside US #1 or #2", and Exhibitions "Global #2". Independent sources, both dated, support two of these. PLOS ONE (2015) puts Reed-Elsevier first in natural and medical sciences publishing with 24.1% of 2013 papers, ahead of Springer (11.9%) and Wiley-Blackwell (11.3%). The Stanford study (2024-05-30) describes legal research as a historical duopoly of Thomson Reuters and LexisNexis, and found that "Lexis+ AI is the highest-performing system we test, answering 65% of our queries accurately." The publishing data is from 2013, Legal is second in the U.S. by RELX's own account, and the Risk and Exhibitions ranks are the company's own claims. That supports co-leader, not clear leader. | 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. | clear leader Leadership is claimed on interconnection, not on square footage, and the filing's own evidence is about density: "our position is unmatched in the industry" is supported by 2,000+ resident network service providers, "a leading market share of cloud-on ramps", 500,000+ interconnections and an Internet Exchange described as "the largest global peering solution", across 36 countries. The band is read against neutral, ecosystem-dense colocation, where that footprint has no direct analogue. It is deliberately not read against total data centre capacity: the same 10-K puts Equinix among "more than 2,400 companies" in a "highly fragmented" MTDC market, and Item 1A concedes the company must compete for land and power against "new market entrants" drawn in by AI. |
| Pricing power | moderate The 2025 Annual Report says RELX products "often account for less than 1% of our customers' total cost base but can have a significant and positive impact on the economics of the remaining 99%", and reports a group adjusted operating margin of 34.8% in 2025 against 33.9% in 2024. On the H1 2026 call the CFO reported a margin of 35.5%. He attributed the gains to cost discipline: "we focus on ensuring that cost growth remains below revenue growth in all of our businesses." The CEO said that "roughly 3/4 of the renewal value is coming from the Lexis+ with Protégé package", which means renewals are moving customers onto the higher-value AI platform. Independent evidence on Elsevier is older. PLOS ONE (2015) says libraries "have to manage with less as prices increase" and that, because of the oligopoly, they are "more or less helpless". It also found the STM division's profit margin never fell below 30% over the 1991-2013 period it studied. RELX does not disclose list-price increases. Most of the evidence is margin-based. The margins are high and rising, but management credits the gains to keeping cost growth below revenue growth, and the only independent evidence of price increases is from 2015. That supports moderate, not strong, 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 Contract structure supports price: fixed-duration agreements billed on space and power plus per-connection interconnection fees, an installed base too physically entangled to move cheaply, and 99.9999%+ uptime in 2025 as the thing being paid for. FY2025 revenue of $9.217B grew about 5% on FY2024's $8.748B while operating margin recovered to 20.0% from 15.2%, so pricing and cost were at least held. But the filing itself refuses the strong band: competitors "may adopt aggressive pricing policies, especially if they are not highly leveraged or have lower return thresholds than we do. As a result, we may suffer from pricing pressure that would adversely affect our ability to generate revenues", and some rivals bundle communications or cloud services against bare colocation. Power procurement is a further pass-through risk the filing flags. Price is defended, not dictated. |
| Summary | RELX sells information-based analytics and decision tools in four business areas. In 2025, per its Annual Report, Risk (LexisNexis Risk Solutions) had revenue of £3,485m and adjusted operating profit of £1,305m; Scientific, Technical & Medical (Elsevier) £2,714m and £1,035m; Legal (LexisNexis Legal & Professional) £1,806m and £415m; and Exhibitions (RX) £1,186m and £410m. The moat rests on content and data that are hard to replicate. A Stanford study describes a historical Westlaw-LexisNexis "virtual duopoly" in legal research. A PLOS ONE study found Reed-Elsevier the largest publisher of natural and medical sciences papers in 2013, and RELX reports that Elsevier articles accounted for "over 18% of global research output and 29% of citations" in its latest comparison. Risk is built on contributory databases such as the C.L.U.E. claims history database, which "collects and reports up to seven years of US personal automobile, property claims and small business information". The products are cheap relative to what customers spend: RELX says they "often account for less than 1% of our customers' total cost base". Group adjusted operating margin rose to 34.8% in 2025 and to 35.5% in the first half of 2026. AI is the main test of the moat. RELX is turning it into upsell: about 90% of Legal new-sales value now comes from the AI-enabled Lexis+ with Protégé platform, and Legal underlying revenue growth reached 10% in H1 2026. On the same call, an analyst cited AI-native legal players Harvey and Legora with combined annual recurring revenue above $400 million, and the CEO said RELX is "not going to be the leader" in the much larger legal workflow software market. RELX names the shift to open access as a principal risk for Elsevier. On the 2026 call, an analyst raised a U.S. OMB proposal to make journal subscription costs and article processing charges unallowable expenses on federal research awards. | 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". | Equinix is a network-neutral, multi-tenant colocation and interconnection REIT: it does not sell compute, it sells the metro-edge real estate where networks, clouds and enterprises physically meet. The FY2025 10-K describes the platform as "280 data centers, in 77 markets in 36 countries" serving "over 10,500 customers, including 2,000+ network service providers and a leading market share of cloud-on ramps", carrying "more than 500,000 interconnections" curated over 27 years, with 61% of 2025 revenue recognised outside the U.S. Revenue is structurally recurring — infrastructure offerings are "billed based on the space and power a customer consumes" under fixed-duration contracts generating MRR, interconnection is "billed based on the outbound connections from a customer" — and no customer reached 10% of 2025 revenue. AI enters the story as demand rather than as a product: the filing positions Equinix as the interconnect point for "model providers, data platforms, neoclouds and gateways", and pushes core hyperscale capacity into xScale, which is "developed and operated through our joint venture partnership arrangements". The bear case is in the company's own Item 1A. The MTDC market is "highly fragmented", Equinix being "one of more than 2,400 companies"; competitors "may adopt aggressive pricing policies"; the AI build-out invites "significant investments in the data center industry by both current competitors and new investors", after which "we could lose market share" and must "compete against certain of these competitors to secure the land and power needed for our expansion plans". Product extension has also failed before — the filing notes past offerings "have been or are being discontinued, including the Equinix Metal product". The honest reading: the interconnection ecosystem is close to unreplicable and the moat sits there; the capacity business around it is a capital race Equinix enters with scale but no immunity. |
| Chain position | An AI-application-layer user of frontier models: on the H1 2026 call the CEO said RELX takes AI tools "from the sort of frontier lab companies" and runs them inside its own products on verified content. The 2025 Annual Report says LexisNexis will integrate Lexis+ AI capabilities, powered by LexisNexis content, within the Harvey platform. | 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. | Equinix is the neutral meeting point of the AI and cloud supply chain rather than a link in its manufacturing path: it houses other companies' compute and sells the adjacency between them. The 10-K places it between the network layer (2,000+ service providers), the cloud layer ("a leading market share of cloud-on ramps") and enterprise consumers who "assemble these capabilities into operational stacks", and describes an AI ecosystem "of model providers, data platforms, neoclouds and gateways" curated for enterprise AI demand. Core hyperscale training capacity sits beside that, not inside it, in xScale, built with JV partners so hyperscalers "add to their core hyperscale data center deployments and existing customer access points at Equinix". The revenue is therefore levered to AI's distribution and inference edge more than to training-cluster buildout. |
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| Long-horizon vote | +0.30 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.06 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.38 at weight 0.20 · swarm neutral Editorial prior, not backtested. |