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.
| IBM | TE Connectivity | Nebius Group | |
|---|---|---|---|
| Moat rating | 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. | narrow The FY2025 10-K's own Competition section undercuts any claim of insulation: 'The industries in which we operate are highly competitive, and we compete with thousands of companies that range from large multinational corporations to local manufacturers', competition is 'generally based on breadth of product offering, product innovation, price, quality, delivery, and service', and TE has 'experienced, and expect[s] to continue to experience, downward pressure on prices'. The same filing explicitly disclaims IP as the basis of its position: 'we do not believe that our competitive position or our operations are dependent upon or would be materially impacted by any single patent or group of related patents.' What TE does hold is durable rather than absolute — it calls itself 'one of the leading providers of advanced automobile connectivity solutions', its Industrial segment 'a leading supplier', and it converted that position into rising profitability across the same filing's three income statements (gross margin 31.5% of net sales in FY2023, 34.4% in FY2024, 35.2% in FY2025). A position that earns expanding margins into admitted price pressure is an advantage; one held against thousands of competitors and no decisive patent is not a wide one. | narrow The FY2025 20-F positions Nebius as 'one of the few global, at scale, multi-tenant clouds purpose built for AI,' but the same filing names its central dependency plainly: 'We currently rely on Nvidia for the GPU chips we use' — a purpose-built neocloud renting a supply the hyperscalers it competes with also control, which is a real but narrow position. |
| Moat type | 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. | switching costs The FY2025 10-K locates the advantage at the customer, not in patents. It describes 'close working relationships with many of our customers' whose 'relationships with them typically date back many years', and co-development as the mechanism: 'By working with our customers in developing new products and technologies, we believe we can identify and act on trends and leverage knowledge about next-generation technology across our products.' Roughly 75% of fiscal 2025 net sales were direct to manufacturers rather than through distribution, and the Transportation segment's products 'must withstand harsh conditions' — parts engineered in with the customer and built to survive the application, so the position sits inside the customer's design rather than in a purchase order. The filing rules the alternative out in its own words on intellectual property, so intangibles_ip is not the source; the 'thousands of companies' in Competition rules out efficient_scale. | cost scale The moat the filing describes is engineering: designs that 'optimize power and cooling efficiency, lower latency' plus 'a consistent track record of being one of the first-to-deploy the latest generation of NVIDIA GPU chips' — density and time-to-deploy at scale, not a switching lock. |
| Leadership | 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. | co leader The FY2025 10-K claims leadership in qualified form and then names the peers who contest it. Transportation Solutions 'is a leader in connectivity and sensor technologies' and TE is 'one of the leading providers of advanced automobile connectivity solutions' — one of, not the — while the segment's 'major competitors include Yazaki, Aptiv, Sumitomo, Sensata, Honeywell, Molex, and Amphenol'. Industrial Solutions 'is a leading supplier of products that connect and distribute power, data, and signals' and 'competes primarily against Amphenol, Hubbell, Carlisle Companies, Integer Holdings, Molex, Omron, JST, and Korea Electric Terminal (KET)'. Amphenol and Molex appear on both lists, so TE shares the top of the interconnect market rather than owning it. | fast follower The 20-F's own claim is 'one of the FEW global, at scale' AI clouds — a differentiated challenger to the hyperscalers it names as the competitive field, not a claimed leader of it; the first-to-deploy record is a follower's speed advantage, not category leadership. |
| 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. | moderate The FY2025 10-K states both halves plainly: TE has 'experienced, and expect[s] to continue to experience, downward pressure on prices. However, as a result of increased costs and tariffs, certain of our businesses implemented price increases in recent years.' Pass-through, not price-setting. The realised result is margin expansion rather than erosion — gross margin of 31.5% of net sales in FY2023, 34.4% in FY2024 and 35.2% in FY2025 per the same filing's income statements, and 36.5% ($5,319M on $14,573M) for the nine months to 26 June 2026 versus 35.3% a year earlier, with Q3 FY2026 GAAP operating margin of 19%, per the 22 July 2026 results release (https://www.sec.gov/Archives/edgar/data/1385157/000110465926085589/tel-20260722xex99d1.htm). Strong would require pricing that leads rather than follows cost; weak is contradicted by three years of expanding gross margin. | weak The filing frames a 'highly competitive' market with 'frequent introduction of new or improved solutions' and a GPU cost base set by a single supplier (NVIDIA) — a renter of compute competing on efficiency has little list-price control. |
| Summary | 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. | TE Connectivity sells the connectors, terminals, sensors and cable-protection parts that, in its own framing, 'enable the distribution of power, signal, and data' — a component vendor, never a system or compute vendor. The FY2025 10-K puts the two reportable segments, Transportation Solutions (54% of net sales) and Industrial Solutions (46%), against a combined served market it estimates at roughly $200 billion, which tells you immediately that no single share number governs this business: the filing discloses no market share, says 'no single customer accounted for a significant amount of our net sales in fiscal 2025, 2024, or 2023', and states that because TE is 'not organized by product or service, it is not practicable to disclose net sales by product or service'. The defensible part is entrenchment. Parts get designed in with the customer and then qualified to survive automotive, aerospace, subsea and grid conditions; TE sells about 75% of net sales direct into ~130 countries; relationships 'typically date back many years'. That is a switching-cost moat, and the filing is unusually candid that it is not a patent moat — no single patent or group of patents is material to its competitive position. The limit is equally plain in the filing: highly competitive industries, thousands of competitors, and persistent downward price pressure, with Amphenol and Molex named as competitors in BOTH segments and Yazaki, Aptiv and Sumitomo heading the Transportation segment's competitor list. The evidence that the moat is nonetheless working is margin plus mix. Gross margin ran 31.5% / 34.4% / 35.2% of net sales across FY2023-FY2025, and in the nine months to 26 June 2026 gross margin was $5,319M on $14,573M of net sales (36.5%) against $4,419M on $12,513M (35.3%) a year earlier, while Q3 FY2026 GAAP operating margin was 19% and orders hit a record $5.7 billion, up 27% year over year. Growth has also rotated: digital data networks grew 34.2% in Q3 FY2026 (34.0% organic) and 48.8% over nine months, with the CEO naming 'increased momentum in AI in both the data center and across the broader energy infrastructure' — while sensors, an end market for which the 10-K makes no leadership claim at all, shrank 2.8% organically in the quarter. Narrow, not wide: a real toll on other people's platforms, collected under admitted price pressure. | Nebius sells a 'unified full-stack AI cloud that spans the complete AI journey – from compute capacity to software and services,' with hardware and software built in-house — the neocloud pitch of hyperscaler reliability at purpose-built efficiency, and a first-to-deploy record on new NVIDIA silicon. Two things bound the moat, both from the filing: it 'currently rel[ies] on Nvidia for the GPU chips,' the same constraint every neocloud shares, and it is a Nasdaq 'Controlled Company' whose founding shareholder holds concentrated voting power. The three non-core segments (Toloka, Avride, TripleTen) are separate businesses, not the cloud moat. |
| Chain position | A hybrid-cloud platform, enterprise-AI (watsonx), and consulting provider to large enterprises — a software/cloud layer of the AI stack. | TE is an upstream component supplier to the AI build-out, not a participant in compute. It sells 'connectivity and sensor solutions [that] enable the distribution of power, signal, and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence', about 75% of it direct to manufacturers across roughly 130 countries. AI exposure runs through one end market: digital data networks was 28% of Industrial Solutions, and Industrial Solutions was 46% of fiscal 2025 net sales — so the datacenter line is a minority of a company still 54% transportation. That minority is where the growth now is: digital data networks net sales rose 34.2% in Q3 FY2026 and 48.8% over the nine months, and energy rose 34.4% in the quarter, the CEO tying both to AI momentum 'in both the data center and across the broader energy infrastructure' (https://www.sec.gov/Archives/edgar/data/1385157/000110465926085589/tel-20260722xex99d1.htm). | Layer-8 neocloud — a purpose-built AI compute provider reselling NVIDIA silicon at scale. |
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| Long-horizon vote | +0.06 at weight 0.20 · swarm bearish Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. |