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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 Celestica×GitLab×Hewlett Packard Enterprise× maximum of 3 — remove one to swap
Celestica CLS ai moat: latest change 2026-02-27 GitLab GTLB ai moat: latest change 2026-08-05 Hewlett Packard Enterprise HPE ai moat: latest change 2025-12-18
Moat rating narrow

The FY2025 10-K shows a real but bounded edge. On the durable side, Celestica is increasingly engaged as an ODM: its HPS business co-designs (JDM) or fully designs the platforms it builds, it states 'We have hardware and software patents that are integral to our HPS business' and that 'our increased R&D activities have resulted in the growth of our dependence on our patent portfolio', and HPS reached 41% of total revenue in 2025 (from 21% in 2023) at a margin profile the filing says is higher than traditional EMS work. On the limiting side, the same filing concedes 'Some of our competitors have greater scale and provide a broader range of services than we provide', the master supply agreements 'do not typically guarantee a particular level of business or fixed pricing', work is won 'on a program-by-program basis', and the top 10 customers were 79% of 2025 revenue with three customers individually at 32%, 14% and 12%. An advantage that must be re-won each program against greater-scale rivals, for a handful of buyers who can in-source, is narrow rather than wide.

source: sec.gov

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 10-K describes strong but bounded advantages. On the positive side it cites ~21,000 issued and pending patents as of October 31, 2025, Hewlett Packard Labs research in AI, networking and fabrics, novel accelerators and quantum computing, a claimed 'long-term sustained market leadership in supercomputing', a global manufacturing services footprint, and a large channel/partner ecosystem. Against that, the filing names a crowded set of large incumbents in every segment (Dell, Super Micro, Cisco, Lenovo in servers; Broadcom, Cisco, Dell, IBM, NetApp, Nutanix, Pure Storage plus AWS/Google Cloud/Azure in hybrid cloud; Cisco, Arista, Nokia, Huawei, Ciena, NVIDIA, Extreme, Palo Alto, Fortinet, Zscaler and others in networking), concedes competition from 'generically branded or white-box manufacturers' in certain regions, states 'we anticipate that we will have to continue to adjust prices on many of our products and services to stay competitive', and adds that 'no single patent is in itself essential to our company as a whole or to any of our business segments'. That is a durable franchise, not a wide one.

source: sec.gov

Moat type switching costs

Cost scale is explicitly not the source: the 10-K states competitors have greater scale and a broader service range. What does bind a customer is the design-in. Within HPS, Celestica 'design[s] and manufacture[s] products, either as customized solutions, white box solutions or under Joint Design and Manufacturing (JDM) engagements', holds 'hardware and software patents that are integral to our HPS business', and delivers 'complete platform solutions... integration and orchestration of various technologies into rack-scale designs'. The filing adds that 'a majority of these supply agreements also require the customer to purchase unused inventory that we have purchased to fulfill that customer's forecasted manufacturing demand', a contractual cost of walking away mid-program. Moving a qualified, jointly designed rack-scale platform to another ODM means requalifying a design Celestica partly owns, which is friction the commodity assembly work does not carry.

source: sec.gov

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

intangibles ip

The filing's own competitive-advantage language is repeated near-verbatim for both the Server and Networking segments: 'our broad end-to-end solutions portfolio, supported by our strong intellectual property portfolio and research and development capabilities, coupled with our global reach and partner ecosystem.' It grounds that in ~21,000 worldwide issued and pending patents, decades of large-scale infrastructure engineering (it names fanless direct liquid cooling as an example), and Hewlett Packard Labs. Switching costs are the natural alternative given GreenLake consumption contracts, but the filing explicitly disclaims lock-in as a strategy: 'the cloud experience should be open and seamless across all our customers' clouds, rather than requiring customers to be locked into a cloud stack.' Accumulated engineering IP and brand, not customer captivity, is the source the document actually asserts.

source: sec.gov

Leadership at parity

The 10-K claims no share leadership. It states plainly that 'Some of our competitors have greater scale and provide a broader range of services than we provide', and lists Hon Hai, Flex, Jabil, Sanmina, Benchmark and Plexus in EMS plus Quanta, Wiwynn and Accton in ODM. Its stated competitive advantage is execution quality, not position: 'our track record in advanced manufacturing capabilities, design and engineering, quality, delivery, managing complexity and responsiveness'. It is also winning: CCS revenue grew 42% to $9.19 billion and total revenue reached $12.39 billion in FY2025. Competing on comparable terms with a field it neither leads nor trails is parity.

source: sec.gov

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

co leader

The filing claims specific leadership only in narrow places — 'long-term sustained market leadership in supercomputing' and 'AI-native networking leadership' after the Juniper Networks acquisition — while describing every market it serves as 'characterized by strong competition among major corporations with long-established positions and a large number of new and rapidly growing firms.' It names itself alongside, not above, Dell, Super Micro, Cisco and Lenovo in data-center infrastructure and alongside Cisco, Arista, Nokia, Huawei and NVIDIA in networking, and frames AI data-center networking as a market it 'aims to capture' rather than one it holds. One of a handful of scaled incumbents, not the clear leader.

source: sec.gov

Pricing power weak

The filing describes price as contested by contract, not set by Celestica: master supply agreements 'do not typically guarantee a particular level of business or fixed pricing', 'Some of these agreements require us to provide specific price reductions to our customers over the term of the contracts', and the Item 1A risk factor 'We operate in an industry comprised of numerous competitors and aggressive pricing dynamics' says competitors may be 'willing to, or able to make sales or provide services at lower margins than we do'. The site's fundamentals show gross margin at 12.06% in FY2025, up from 8.96% in FY2022, 9.47% in FY2023 and 10.72% in FY2024 — improving, but still low double digits, and the filing attributes the higher margin to mix (HPS is 'higher margin profile than our traditional EMS businesses' and went from 21% to 41% of revenue over the same span) rather than to raising prices.

source: sec.gov

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

weak

The 10-K is unusually explicit on this. It states 'We face aggressive price competition'; that competitors with a greater presence in lower-cost markets or better component allocation 'may be able to offer lower prices than we are able to offer'; that 'to maintain our competitive position, from time-to-time we take pricing actions to offer heavier than normal discounts or elect not to pass on cost increases to customers ... which has had and could have a negative impact on our financial results'; and that 'we anticipate that we will have to continue to adjust prices on many of our products and services to stay competitive.' Its AI-systems orders are called out as 'generally subject to intense competition and pricing pressure, which can have an impact on our margins', and a separate risk factor warns that failure to sustain gross margins would reduce profitability. The filing states no gross-margin trend figure in these sections; the qualitative direction it does state is defensive.

source: sec.gov

Summary

Celestica is a contract design and manufacturing company that has been pulled up the value chain by the AI data-center build-out. Its CCS segment, which builds networking switches, optical systems, data center racks, servers and storage for hyperscalers and other cloud and AI service providers, grew 42% to $9.19 billion in 2025, and Communications alone went from 33% of revenue in 2023 to 57% in 2025. The part of that business with a defensible position is HPS, where Celestica is the designer rather than the assembler: HPS revenue rose 81% in 2025 to 41% of the total, carries a higher margin than traditional EMS work, and rests on a patent portfolio the filing calls integral to the business. That design-in position is what separates it from pure build-to-print capacity. What caps the moat is the customer side of the ledger. The 10-K describes an industry where 'aggressive pricing is a common business dynamic', where master supply agreements guarantee neither volume nor price and some of them 'require us to provide specific price reductions to our customers over the term of the contracts', and where the company bids program by program against Hon Hai, Flex, Jabil, Sanmina, Benchmark and Plexus on the EMS side and Quanta, Wiwynn and Accton on the ODM side, plus Arista and Cisco where a customer might buy an off-the-shelf switch instead. Revenue concentration has tightened as the AI mix grew, from 64% of revenue in the top 10 customers in 2023 to 79% in 2025, with a single customer at 32%. The company also notes its HPS offerings can compete with a customer's own hardware, which may 'negatively impact our relationship with, or result in a loss of business from, such customers'. So the profile is a genuine but program-scoped advantage, held by a company whose fortunes turn on a few buyers' capital plans.

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".

HPE's FY2025 10-K positions the company around three stated megatrends — networking, cloud and AI — delivered through five segments (Server, Hybrid Cloud, Networking, Financial Services, Corporate Investments and Other), with Server products and Networking products each exceeding 10% of consolidated net revenue in fiscal 2025. Its defensibility rests on an accumulated intellectual-property and engineering base (~21,000 issued and pending patents as of October 31, 2025), a claimed sustained leadership position in supercomputing via HPE Cray EX, a full networking stack acquired with Juniper Networks in July 2025 spanning campus, data-center switching, WAN routing and SASE, and a captive Financial Services arm that funds consumption-based deployments. The same filing bounds that moat: it warns of 'aggressive price competition', notes that AI systems have historically been bought 'primarily by a small number of larger customers and cloud service providers' and that such orders are 'generally subject to intense competition and pricing pressure, which can have an impact on our margins', and lists a long roster of well-capitalized competitors in every market it serves.

Chain position

Celestica sits between component suppliers and the hyperscale buyer, and owns the design only in part of that span. It 'procure[s] substantially all of our materials and components on behalf of our customers pursuant to individual purchase orders that are generally short-term in nature', then designs, assembles, integrates at rack scale and tests the switches, optical systems, servers, storage and data-center racks that cloud, AI and enterprise customers deploy. In ATS it is a pure EMS contractor that does 'not generally collaborate with ATS customers on the design of the solutions we manufacture'; in HPS it is the designer of record or a joint designer. The economics follow that split: the segment where it holds design IP is the one with the higher margin profile.

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.

Downstream AI-infrastructure integrator and networking supplier: HPE assembles and sells the AI servers and rack-scale systems (ProLiant, Cray EX/XD), turnkey AI-factory stacks (HPE Private Cloud AI) and the data-center/AI networking fabric that sit between silicon vendors and enterprise, sovereign and cloud-service-provider buyers. The AI exposure is central rather than incidental — the filing's strategy section, a dedicated AI risk factor and the AI-systems order-concentration disclosure all address it — but HPE is a buyer of accelerators and components, not a designer of them, and it names NVIDIA as a competitor in networking rather than only as a supplier.

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
  • HPE Alletra Storage portfolio Challenger · Moderate source: sec.gov
  • HPE Cray EX supercomputing systems Leader · Deep source: sec.gov
  • HPE GreenLake cloud Challenger · Moderate source: sec.gov
  • HPE Networking (Juniper Mist, Aruba Central, QFX/EX/CX switches, MX/PTX routers) Challenger · Moderate source: sec.gov
  • HPE Private Cloud AI Challenger · Moderate source: sec.gov
  • HPE ProLiant servers and rack-scale solutions Unknown · Moderate source: sec.gov
Long-horizon vote -0.01 at weight 0.20 · swarm neutral

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+0.06 at weight 0.20 · swarm neutral

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+0.05 at weight 0.20 · swarm neutral

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