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.
| GlobalFoundries | NVIDIA | IBM | |
|---|---|---|---|
| Moat rating | narrow The FY2025 20-F gives a measured lock-in: approximately 63% of 2025 wafer shipment volume was single-sourced business - products GF says "can only be manufactured with our technology or cannot be manufactured elsewhere without significant customer redesigns" - and long-term agreements carried an aggregate remaining revenue commitment of approximately $11 billion at 31 December 2025, as "binding, multi-year, reciprocal minimum purchase and supply commitments". That advantage is bounded by admissions in the same filing: "some of our competitors may offer more advanced or differentiated technologies than we do and some have greater access to capital and substantially greater production capacity, research and development... including access to government subsidies"; China's mature-node "foundry capacity is expected to grow faster than expected demand at those nodes"; and GF "renegotiated a number of LTAs with certain of our customers, including in 2025, as a result of which some of our LTAs now have longer commitment periods... and some of our LTAs have lower pricing or volume commitments than originally negotiated". Gross margin of 24.9% in 2025 ($1,690m on $6,791m of net revenue) on essentially flat revenue is the economics of a position that is defended rather than uncontested. | 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. | narrow IBM's FY2025 10-K describes "a highly competitive environment" with "hundreds of competitors" and says IBM is "regularly exposed to new competitors" as it executes its hybrid-cloud/AI strategy, while differentiating through "incumbency with enterprises" and "client relationships and trust" — a real but narrow moat, not a wide one. |
| Moat type | switching costs The filing rules out scale as the source: GF concedes competitors with "substantially greater production capacity, research and development" and its four fabs held roughly 2.8 million wafers per annum of installed capacity at end-2025 against a $6.8bn revenue base. The mechanism it names instead is the cost of moving a qualified design - "[g]iven the time and costs associated with moving a single-sourced product to a competitor, clients are more likely to continue awarding us single-source contracts for such products" - and it is quantified at approximately 63% of 2025 wafer shipment volume. It is contractually reinforced by the ~$11bn of remaining LTA revenue commitment, which GF says continues to matter "for certain longer term, more durable end markets, such as automotive", where 21% of 2025 net revenue ($1,410m) now sits. | 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. | switching costs The 10-K roots IBM's differentiation in "incumbency with enterprises" and "client relationships and trust" — installed-base lock-in across its hybrid-cloud platform (Red Hat) and enterprise software and infrastructure raises switching costs. |
| Leadership | fast follower The 20-F places GF inside a group of "five major foundries (including four scaled pure-play foundries) that accounted for the vast majority of worldwide foundry revenue in 2025", naming TSMC first among key competitors along with UMC and SMIC, and separately conceding competitors with "more advanced or differentiated technologies than we do" and "substantially greater production capacity, research and development, marketing and other resources". GF does not compete for the leading edge at all; its stated pillars are differentiated RF, FDX, silicon photonics, power and feature-rich CMOS plus geographic diversity. That is an established, scaled participant operating inside a pace set elsewhere, not one setting it, and not one shut out of the top tier. | 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. | fast follower An enterprise incumbent that differentiates via "incumbency with enterprises" but is "regularly exposed to new competitors" in its hybrid-cloud/AI push (FY2025 10-K) — a follower in the current AI cycle rather than its leader. |
| Pricing power | moderate Gross margin was 24.9% in 2025 ($1,690m on $6,791m) versus 24.5% in 2024 ($1,651m on $6,750m) - held, not expanded, even though average shipment utilization across the global fabs rose from 77% to 86%, so most of the volume gain was absorbed rather than dropping through. The filing states outright that "the market prices for technology and services tend to fall over time, except in times of extreme supply shortage", and discloses LTAs renegotiated in 2025 to "lower pricing or volume commitments than originally negotiated". Against that, GF says wafer price "varies significantly across technology platforms" and that devices with "richer feature sets, higher performance, better yields and greater system-level integration... generally command higher wafer prices". Price-setting inside designed-in single-sourced sockets, price-taking at the competitive margin. | 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. | moderate Gross margin is high and rising (54.9% FY2021 to 58.2% FY2025) on a software-mix shift, but "price" is a principal method of competition per the 10-K and consulting/infrastructure remain price-competitive. |
| Summary | GlobalFoundries is a pure-play specialty foundry that deliberately does not contest the leading edge. Its FY2025 20-F frames the business around six differentiated technology lines - feature-rich CMOS, ultra-low-power CMOS (FinFET and FDX), silicon photonics, RF, power, and, new in 2025, processor IP via the MIPS acquisition - manufactured at four fabs in Malta NY, Burlington VT, Dresden and Singapore, which GF describes as making it "the only scaled foundry with a global manufacturing footprint spanning the United States, Europe, and Asia operating for more than a decade". The defence that shows up in the numbers is design lock-in rather than cost: approximately 63% of 2025 wafer shipment volume was single-sourced, and ~$11bn of long-term agreement revenue commitment remained at year-end. What limits it is visible in the same document - competitors with more capital, more capacity and, in some cases, more advanced technology; mature-node capacity in China expected to outgrow demand at 28nm and larger; TSMC, Samsung, Intel, Texas Instruments and UMC all building in the United States, Europe or Singapore, which erodes the geographic-diversity argument GF calls "one of our key advantages". Pricing reflects that balance: 2025 gross margin of 24.9% against 24.5% in 2024 even as shipment utilization rose from 77% to 86%, with some LTAs renegotiated to lower pricing. AI exposure is real but indirect - Communications, Infrastructure & Data Center was 11% of 2025 net revenue, and GF's AI content is optical interconnect, RF, sensing, power and edge processor IP rather than accelerator logic. | 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. | IBM's moat rests on deep enterprise incumbency — sticky installed-base relationships across hybrid cloud (Red Hat), enterprise software, and mission-critical infrastructure, plus brand and a large patent base. But its own FY2025 10-K frames "a highly competitive environment" with "hundreds of competitors" and says IBM is "regularly exposed to new competitors" as it pursues hybrid cloud and AI, so the moat is durable but narrow and contested in the AI/cloud growth arena. |
| Chain position | Pure-play specialty foundry. Inputs are silicon and specialised SOI wafers bought under multiple long-term agreements with principal suppliers, "the largest of which is Soitec", plus externally sourced EDA tools and third-party IP. Output is finished semiconductor wafers, approximately 89% of 2025 net revenue, sold to fabless designers and IDMs and delivered through the GlobalSolutions ecosystem of IP providers, EDA vendors, OSAT partners and design-service firms; the remaining ~11% is photomasks, sourcing and post-fab services, and IP licence and royalty income. Manufacturing sits at four sites - Malta NY, Burlington VT, Dresden and Singapore - with roughly 239,000 square metres of clean room and about 2.8 million wafers per annum installed capacity at end-2025. Position in the AI chain is one step removed from accelerators: Communications, Infrastructure & Data Center was 11% of 2025 net revenue ($745m), with content in optical interconnect, RF front-ends, timing and power, alongside edge-AI processor IP from the MIPS acquisition. | 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. | A hybrid-cloud platform, enterprise-AI (watsonx), and consulting provider to large enterprises — a software/cloud layer of the AI stack. |
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| Long-horizon vote | +0.06 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.42 at weight 0.20 · swarm bullish Editorial prior, not backtested. | +0.06 at weight 0.20 · swarm bearish Editorial prior, not backtested. |