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.
| TE Connectivity | Snowflake | Lam Research | |
|---|---|---|---|
| Moat rating | 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 Narrow, not wide, because the FY2026 10-K documents a strong installed base and a competitive position the company itself says is under erosion. On the asset side: revenue of $4.7 billion (29% growth in each of the last three fiscal years), 13,328 total customers up from 10,996, 790 of the Forbes Global 2000 contributing about 43% of revenue, 733 customers above $1 million in trailing-12-month product revenue up from 576, a 125% net revenue retention rate, and more than 1,050 issued U.S. patents. Against that, Item 1A states plainly that adopting open data formats like Apache Iceberg means 'there is less customer “lock in” when our products are used in external environments' and that 'our support of open data formats may also reduce switching costs between us and our competitors'; that AWS, Azure and GCP 'generally compete in all of our markets' while also supplying the infrastructure a 'substantial majority of our business is run on'; and that the company remains loss-making at $1.3 billion of net loss for the year. | wide The FY2026 10-K competition section describes tool-level qualification lock-in as the structural fact of the industry: 'semiconductor manufacturers must make a substantial investment to qualify and integrate new capital equipment into semiconductor production lines. As a result, once a semiconductor manufacturer has selected a particular supplier's equipment and qualified it for production, the manufacturer generally maintains that selection for that specific production application and technology node as long as the supplier's products demonstrate performance to specification in the installed base.' The filing then sizes what that incumbency is worth: of 23,232,690 thousand dollars of FY2026 revenue, 8,347,202 thousand - about 36% - was customer-support-related revenue and other, which the same document defines as 'sales of customer services, spares, upgrades, and non-leading-edge equipment' sold back into the installed base. A qualified position plus a third of revenue annuitised against it is a durable barrier rather than a cyclical one. |
| Moat type | 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. | switching costs The filing makes its own affirmative claim of network effects — 'Our business benefits from powerful network effects. ... The more customers adopt our platform, the more data can be exchanged with other Snowflake customers, partners, data providers, and data consumers' — but the load-bearing, quantified evidence in the document points to switching costs. The platform is sold as the way to 'consolidate data into a single source of truth,' and the disclosed economics of that consolidation are a 125% net revenue retention rate and 733 customers above $1 million in trailing product revenue. Item 1A confirms the mechanism by naming what is at risk: open formats produce 'less customer “lock in”' and 'may also reduce switching costs.' The filing frames lock-in, not network density, as the thing erosion would take away. | switching costs The 10-K grounds the advantage in the cost of requalification, not in scale or patents: a customer that has qualified a competitor's tool is hard to win, and conversely Lam's own qualified positions persist for that application and node. The same section adds that the company must keep serving 'our installed base of customers through the delivery of high-quality and cost-efficient spare parts', naming the installed base as the asset being defended. |
| Leadership | 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. | co leader The 10-K contains no ranking, market-share figure, or claim of leadership, and it names no non-hyperscaler competitor by name. The band rests on disclosed scale — $4.7 billion of revenue, 13,328 customers, 9,060 employees across 36 countries — set against the filing's own statement that 'many of our competitors have substantially greater brand recognition, customer relationships, and financial, technical, and other resources than we do.' Co-leader among independent cloud data platforms; not a leader over AWS, Azure and GCP, which the filing says compete in all of its markets. | co leader The 10-K claims position but not primacy: 'We believe we are in a strong position with our leadership and expertise in deposition, etch, and clean markets.' The same document names Applied Materials as primary competitor in deposition and Applied Materials, Hitachi and Tokyo Electron as primary competitors in etch, which is a shared-leadership structure rather than a clear single leader. |
| Pricing power | 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. | moderate The consumption model plus 125% net revenue retention shows real expansion pricing, and the filing argues it competes on 'pricing transparency and optimized price-performance.' But Item 1A limits how far that goes: competition 'may negatively impact our ability to acquire new customers ... put downward pressure on our prices and gross margins'; the company 'may not be able to ... offer as many discounts or free services as our competitors'; results depend on 'changes in our pricing model, including in response to significant price discounts by our competitors' and on 'customer optimization efforts that result in reduced consumption.' On the cost side, 'our costs and gross margins are significantly influenced by the prices we are able to negotiate with these public cloud providers, which in certain cases are also our competitors.' | moderate Real but bounded, and the filing is explicit that the recent gain was mix rather than price. Gross margin as a percent of total revenue rose 180 basis points to 50.5% in fiscal 2026 from 48.7% in fiscal 2025 (gross margin of 11,725,308 thousand dollars on revenue of 23,232,690 thousand, against 8,979,059 on 18,435,591; 7,052,791 on 14,905,386 in fiscal 2024), and the MD&A attributes that: 'Gross margin as a percentage of revenue increased in fiscal year 2026 compared to fiscal year 2025 largely due to favorable customer mix, partially offset by aluminum and steel tariff-related spend.' Against it, the same filing says manufacturers evaluate suppliers on 'overall cost of ownership', that the spares business competes with third-party spare parts providers, and that the customer list is a handful of very large buyers (Micron, Samsung, SK hynix and TSMC named as the most significant customers). |
| Summary | 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. | Snowflake's advantage in its FY2026 10-K rests on being the consolidation point for enterprise data: a multi-cluster shared-data architecture with proprietary columnar storage and automatic micro-partitioning, delivered across three major public clouds and 53 interconnected regional deployments, that customers adopt as a single governed source of truth and then expand on — 125% net revenue retention, 790 of the Forbes Global 2000 as customers. The filing layers a collaboration claim on top, with sharing 'generally without copying or moving the underlying data' and a Marketplace of 'hundreds of live, ready-to-query third-party data sets and data products.' The same document is unusually candid about the counter-pressure: Iceberg and open formats reduce lock-in by the company's own account, the three hyperscalers compete across every market while setting the cloud costs that 'significantly influence' gross margins, and frontier AI model providers 'may seek to vertically integrate ... by expanding into the data storage and management layers.' | Lam sells etch, deposition and clean tools into a per-node, per-application qualification process that its own 10-K says customers generally do not revisit once a supplier is qualified. The result is two linked economics, and the FY2026 filing splits them: systems revenue of 14,885,488 thousand dollars and customer-support-related revenue and other of 8,347,202 thousand, on total revenue of 23,232,690 thousand. The second line is the installed-base annuity - services, spares, upgrades and refurbished Reliant tools sold wherever Lam already holds the process step. The 10-K names Applied Materials as the primary competitor in dielectric and metals deposition, ASM International and Wonik IPS in ALD/PECVD, and Applied Materials, Hitachi and Tokyo Electron in etch, so this is shared rather than sole leadership. The live erosion risk is policy, not a rival product: China was 34% of revenue in both fiscal 2026 and fiscal 2025 (7,859,811 thousand dollars in FY2026, the largest single region), and the filing states that U.S. export controls on sales to customers in China, including entity listings of multiple customers, restrict sales of equipment and spare parts by U.S. suppliers and thereby 'provides an advantage to our international competitors that are not subject to these restrictions'. |
| Chain position | 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). | Sits at the enterprise data and governance layer of the AI stack, and the AI exposure is explicit rather than incidental: the filing brands the product the 'AI Data Cloud,' lists AI as a product category, and put Snowflake Intelligence, Cortex Agents and a Managed MCP Server into general availability during the fiscal year. It is a buyer of hyperscaler compute and of third-party frontier models — 'strategic partnerships with foundational model providers deliver state-of-the-art models natively within Snowflake Cortex AI,' with stated 'model neutrality' — and a supplier of governed enterprise data and GPU-backed managed compute to AI applications built on top. | Upstream wafer-fabrication-equipment supplier; the 10-K names Micron, Samsung, SK hynix and TSMC as its most significant customers across FY2024-FY2026, so Lam sits one step above the memory and foundry capacity that AI compute depends on. |
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| Long-horizon vote | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.30 at weight 0.20 · swarm neutral Editorial prior, not backtested. |