Skip to content

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 GitLab×Hut 8×NVIDIA× maximum of 3 — remove one to swap
GitLab GTLB ai moat: latest change 2026-08-05 Hut 8 HUT ai moat: latest change 2026-02-25 NVIDIA NVDA ai moat: latest change 2026-02-25
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.

source: sec.gov

narrow

The FY2025 10-K says 'we believe we have established a defensible competitive advantage through our power-first, innovation-driven strategy', resting on a power-native team, an application-agnostic framework for digital infrastructure design, end-to-end greenfield development capabilities, and the use of ASIC compute builds to rapidly and cost-effectively secure and monetize power. What separates this from no moat is scarce power: the filing says demand for energy capacity continues to outpace supply and that 'grid interconnection bottlenecks have further constrained access to power and digital infrastructure development', and Hut 8 reports 330 MW of utility capacity under construction at River Bend, commercialized in December 2025 through a 15-year triple-net lease supporting 245 MW of IT capacity, plus 1,230 MW of utility capacity under development. The same filing says 'The industries in which we operate are highly competitive and continuously evolving.', warns that these factors 'might not provide the competitive advantage we anticipate, or if they do, such competitive advantage might not endure', cites the River Bend lease (valued at $7.0 billion over the base term) as an example of expecting a significant portion of revenue from a limited number of customers, and says the company has not maintained consistent profitability. That supports narrow at most, not wide.

source: sec.gov

wide

Wide: the CUDA software platform and its developer installed base create high switching costs across the AI-training stack, defended by $76.7B cumulative R&D and reinforced by ~71% FY2026 gross margins and Data Center revenue (~90% of total) up 68% YoY — durable, hard-to-replicate advantages per the FY2026 10-K.

source: sec.gov

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."

source: sec.gov

cost scale

The 10-K says 'we believe success depends on the ability to secure scarce assets like power, data center equipment, and customers', and places part of its claimed edge in 'our ability to use ASIC compute infrastructure development to rapidly and cost-effectively secure and monetize power'. Its examples: Vega was energized less than a year after acquisition for an all-in cost of about $455,000 per megawatt, which the filing calls 'a fraction of traditional data center costs', and Salt Creek was completed for about $250,000 per MW; Vega also has immediate access to some of the lowest locational wholesale power prices in North America. These are low-redundancy ASIC compute builds, which the 10-K says carry relatively low capital intensity by design. The 'fraction of traditional data center costs' comparison is against a different facility tier, and the filing gives no peer cost comparison and no cost figure for its AI campuses.

source: sec.gov

intangibles ip

The durable edge rests on proprietary IP and software: the full-stack CUDA development platform running on all NVIDIA GPUs plus hundreds of proprietary domain libraries/SDKs/APIs, and $76.7B cumulative R&D yielding "inventions that are essential to modern computing" (NVIDIA invented the GPU in 1999). This is reinforced by developer-ecosystem network effects and CUDA switching costs, per the FY2026 10-K Business section.

source: sec.gov

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.

source: sec.gov

fast follower

The 10-K says 'For example, we signed our first large scale single tenant AI data center lease and commenced construction of the site at our River Bend campus.', offered under the statement that to remain competitive with peers it may need to modify aspects of its business model. River Bend was commercialized in December 2025 through a 15-year triple-net lease supporting 245 MW of IT capacity; Fluidstack is expected to serve as tenant and Google is expected to provide a financial backstop, and initial delivery is targeted for Q2 2027. On speed, the filing says 'Through early engagement with Entergy Louisiana, we assumed key interconnection and development functions typically managed by the utility, such as the development of transmission and distribution infrastructure, materially accelerating originally quoted power delivery timelines.', and that Vega was energized 'less than a year after acquiring it'. It also warns that Hut 8 competes against companies 'that may be more established or have greater financial and other resources and/or expertise'. That describes a newer entrant moving quickly, not an established leader.

source: sec.gov

clear leader

FY2026 Data Center revenue was $193.7B (~90% of the $215.9B total), up 68% YoY on the Blackwell ramp, and NVIDIA describes itself as "a data center scale AI infrastructure company reshaping all industries." The 10-K frames named rivals as parties who "provide or intend to provide" GPUs/accelerators — incumbent-leader positioning.

source: sec.gov

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."

source: sec.gov

weak

The 10-K says ASIC compute, run through American Bitcoin, can only be profitable if hardware and electricity costs are below the price of the Bitcoin mined, which makes it a price-taking business. It also says Traditional Cloud and AI Cloud compete with cloud services providers for customers, and that the company has not maintained consistent profitability. River Bend's contracted triple-net lease economics are not in service yet; initial delivery is targeted for Q2 2027.

source: sec.gov

strong

FY2026 gross margin was 71.1% (75.0% in FY2025); per the 10-K MD&A the ~3.9pt decline reflects the Hopper HGX→Blackwell full-system mix shift and a one-time $4.5B H20 excess-inventory/purchase-obligation charge, not competitive price erosion. A low-70s% hardware gross margin evidences strong pricing power.

source: sec.gov

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".

Per its FY2025 10-K, Hut 8 is a power-first infrastructure developer. It originates powered land and interconnections, uses ASIC compute builds, which the filing says combine relatively low capital intensity with rapid deployment, as a transitional load to monetize sites sooner, and aims to transition suitable power assets to higher-return uses; its River Bend campus was commercialized through a 15-year AI data center lease. The filing claims a defensible advantage but warns it might not provide the advantage anticipated, or might not endure. It says Hut 8 competes for powered land with digital infrastructure developers and large-scale Bitcoin miners, and its first AI campus is still under construction. Its majority-owned Bitcoin miner, American Bitcoin, can only be profitable when mining costs are below the price of the Bitcoin mined, and the filing says it believes American Bitcoin must keep acquiring miners to keep up with a growing global network hashrate.

NVIDIA pairs market-leading accelerated-computing hardware (the Blackwell data-center platform) with a proprietary full-stack software moat — CUDA plus hundreds of domain libraries — funded by $76.7B of cumulative R&D, and its "large and growing number of developers and installed base... strengthens our ecosystem and increases the value of our platform for our customers" (FY2026 10-K). Competition is intensifying from AMD, Intel and Huawei, and from hyperscalers (Alphabet, Amazon, Microsoft) designing internal AI silicon, but rivals must overcome NVIDIA's entrenched CUDA software ecosystem to displace it.

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.

Power-first developer building AI data center capacity, beginning with River Bend under a 15-year lease (Fluidstack is the expected tenant and Google is expected to provide a financial backstop; initial delivery is targeted for Q2 2027), and runs Bitcoin mining through majority-owned American Bitcoin.

Upstream compute-platform supplier: NVIDIA sells full-stack data-center systems (GPU + Arm CPU + DPU + NVLink/InfiniBand networking + CUDA software) to cloud providers and enterprises, and relies on third-party foundry/assembly-test-packaging partners (e.g., SPIL, Amkor, Wistron, Fabrinet). Per the FY2026 10-K, several of its largest customers (hyperscalers such as Amazon, Alphabet, Microsoft) are simultaneously customers and emerging competitors developing internal accelerated-computing silicon.

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
  • CUDA accelerated-computing software platform (CUDA-X, NVIDIA AI Enterprise) Leader · Deep source: sec.gov
  • Data Center AI accelerators (GPU — Blackwell/Hopper) Leader · Deep source: sec.gov
  • Data-center networking / interconnect (NVLink, InfiniBand, Spectrum Ethernet, DPUs) Top 3 · Moderate source: sec.gov
Long-horizon vote +0.06 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

see exactly how it voted →

-0.01 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

see exactly how it voted →

+0.42 at weight 0.20 · swarm bullish

Editorial prior, not backtested.

see exactly how it voted →