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.
| Equinix | GitLab | Tempus AI | |
|---|---|---|---|
| Moat rating | 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. | 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 10-K documents a real asset: a network "connected in some way to more than 55% of all oncologists practicing in the United States" and "more than 65% of all academic medical centers," via "more than 700 unique data connections" across "more than 5,000 healthcare institution sites," with "broad data rights, including the rights to longitudinally updated data." Not eroding: revenue $693.4M to $1,271.8M (+83%), net loss narrowed from $705.8M to $245.0M. Not wide: still loss-making against "an accumulated deficit of $2.4 billion," with payment received on only "approximately 55% of our clinical oncology NGS tests and 50% of our hereditary tests." |
| Moat type | 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. | 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 filing states the mechanism: "Each product line is designed to enable and enhance the other, thereby creating network effects." That is the filing's own characterisation, so the rating rests on corroborating facts: 700+ data connections across 5,000+ sites with longitudinal rights; roughly 801,000 tests in FY2025 (about 340,500 Oncology) feeding the records Insights licenses; Insights working with "19 of the 20 largest public pharmaceutical companies based on 2024 revenue" at "approximately 126%" net revenue retention. Intangibles fit less well: the xT PMA, ADLT status, Paige's clearance and five CAP/CLIA labs are real, but named peers hold comparable approvals. |
| Leadership | 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. | 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. | at parity The filing claims no ranked lead; its positional language is hedged, as in "one of the largest sequencers of cancer patients... in the United States." Two disclosures cut the other way: the reimbursement goal is to become "more in line with other NGS providers who have adopted similar strategies, such as FMI and Guardant," and competitors "may have longer operating histories; larger customer bases; greater brand recognition and market penetration." Competition names Foundation Medicine (Roche), Caris, Guardant, Natera, Neogenomics, Quest, LabCorp, Flatiron, IQVIA, ConcertAI and major CROs, all unranked. Scaled positions on both sides support parity, not a top position. |
| Pricing power | 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. | 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 Diagnostics prices are administered: after a CPT code is set, "CMS, establish payment levels and coverage rules under Medicare," delegating to MACs, while "Private payers establish their rates and coverage rules independently." Average revenue per Oncology test rose from about $1,510 to about $1,600, "driven primarily by increased Medicare reimbursement rates" — the payer moved the price. Collection came on "approximately 55% of our clinical oncology NGS tests and 50% of our hereditary tests," and payer "cost-saving initiatives... are likely to result in pricing pressures." The moderate pocket is confined to Data and applications ($316.4M of $1,271.8M). |
| Summary | 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. | 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". | Tempus AI's durable asset is an installed provider network and the longitudinal data rights attached to it, not any single assay: connections to more than 55% of practicing U.S. oncologists and more than 65% of academic medical centers, 700+ data connections across 5,000+ institution sites. That network makes the linked clinical-molecular database sellable — Insights serves 19 of the 20 largest public pharmaceutical companies by 2024 revenue at roughly 126% net revenue retention, and the trial network (1,400+ trials signed, 40,000+ patients identified) depends on the sequencing base. Economics are improving: revenue up 83% to $1.27B, net loss down from $705.8M to $245.0M. It stops short of wide on the filing's own terms — a $2.4B accumulated deficit, payment on only ~55% of oncology and ~50% of hereditary tests, and Diagnostics prices set by CMS, MACs and private payers. |
| Chain position | 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. | 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. | Tempus sits between clinical care and pharma R&D. It ingests data from 5,000+ institution sites, runs five CAP/CLIA labs (Chicago, Atlanta, Raleigh, Aliso Viejo, Minneapolis via OneOme), and sells Diagnostics to providers and payers ($955.4M FY2025, +111%, administered) and Data and applications to pharma ($316.4M, +31%, negotiated). The clinical output is the data business's input. |
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| Long-horizon vote | +0.38 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.06 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. |