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.
| MaxLinear | Lam Research | DigitalOcean | |
|---|---|---|---|
| Moat rating | none MaxLinear’s FY2025 10-K does not show a durable advantage. Its income statement reports revenue of $693,263 thousand in 2023, $360,528 thousand in 2024 and $467,641 thousand in 2025, with operating losses of $38,221 thousand, $223,352 thousand and $126,890 thousand. The risk factors say “Increased competition has resulted in price pressure, decreased demand, reduced revenue and profitability, and loss of market share”; the business section says competitors include “companies with much longer operating histories, greater name recognition, and substantially greater financial, technical and operational resources”; and because its products “often are building block semiconductors” it also faces integrated-circuit makers, “some of which may be existing customers or platform partners”. Two customers were 28% of 2025 net revenue and the ten largest 65%, and “substantially all of our sales to date have been made on a purchase order basis”. Gross profit held up - $385,663 thousand, $194,782 thousand and $265,814 thousand for 2023 to 2025 - and the AI optical ramp has lifted 2026 results, but a revenue base that nearly halved in one year and three straight years of operating losses do not evidence a moat. | 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. | none Customers can leave easily, and the FY2025 10-K (filed 2026-02-24) says so: 'The majority of our contracts with our customers are based on our terms of service, which do not require our customers to commit to a specific contractual period, and which permit the customer to terminate their contracts or decrease usage of our products and services without advance notice.' The 10-K also reports that net dollar retention, the measure of revenue kept and grown from existing customers, 'increased from 98% in 2024 to 100% in 2025'. It says larger competitors 'have substantial competitive advantages as compared to us', among them 'the ability to bundle products together' and 'larger and more mature intellectual property portfolios'. DigitalOcean itself owned six issued patents at December 31, 2025. The developer community, free support and simple pricing described in the 10-K attract customers but do not lock them in, so the rating is none. Longer AI contracts are new. The Q2 2026 results release (2026-08-04, https://investors.digitalocean.com/news/news-details/2026/DigitalOcean-Announces-Second-Quarter-2026-Financial-Results/default.aspx) reports the 'first nine-figure annual customer commitments with leading AI-Natives, extending weighted average contract life from 1.6 years to over 3 years'. These are too recent to change the call. No independent market-share figure was found. |
| Moat type | none No single source of advantage in the 10-K is strong enough to name. MaxLinear has “over one thousand issued patents” and says consideration under intellectual property sale agreements “has previously been and is currently expected in the future be material”, but the same filing describes its products as building blocks that larger vendors can integrate, says some optical-interconnect customers are “module makers who are vertically integrated, where we compete with internally supplied components”, and claims only that “We believe that we compete favorably” on factors from product performance to price. Its RF-CMOS integration know-how is real, but nothing in the filing shows customers locked in or rivals unable to match it. | 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. | none The 10-K shows no durable source of advantage. Contracts give low switching costs, since customers can end or cut usage 'without advance notice'. Scale favours rivals: 'We compete primarily with large, diversified technology companies that focus on large enterprise customers', which the 10-K names as AWS, Azure, GCP, IBM Cloud, Alibaba Cloud and Oracle Cloud. In AI it competes with the same large companies and 'smaller more infrastructure-focused companies such as Coreweave and Lambda Labs'. It also faces 'competition with larger cloud computing companies and other consumers with respect to high demand equipment, such as GPUs'. Its intellectual property is thin: six issued patents, and 'We use open source software in our services.' The nearest thing to an intangible asset is the developer community. Hacktoberfest drew 'over 56,000 developers completing over 87,000 contributions in 2025', and the 10-K presents the community as a way to win customers rather than a barrier that keeps them. |
| Leadership | fast follower In its fastest-growing line MaxLinear is a second source. Deep Fundamental’s September 27, 2024 deep dive (https://deepfundamental.substack.com/p/deep-dive-optical-module-market) says “Marvell ($MRVL) and Broadcom ($AVGO) are two major suppliers of DSPs, with Marvell holding the top position in the market”, that “Coherent also sources heavily from Marvell, with Broadcom/ Maxlinear potentially serving as second supplier with 20-30% share”, and that MaxLinear offers “DSPs at about half the price of Marvell's if it can achieve a meaningful mass production volume of at least 100K units per month”. Keystone has since reached volume - management said on the Q2 2026 call that it “continues to ramp into high volume production at major hyperscale customers across U.S. and Asia” - but the 10-K names Broadcom, Qualcomm, Realtek, Skyworks, Credo, MediaTek, Marvell, MACOM, Texas Instruments, Analog Devices, Renesas, Microchip and Semtech as primary merchant competitors, and no third-party source found ranks MaxLinear first in any 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. | at parity By its own account DigitalOcean is not a leader. The 10-K names AWS, Azure, GCP, IBM Cloud, Alibaba Cloud and Oracle Cloud as its primary competitors. It says larger competitors have 'greater name recognition and longer operating histories, larger sales and marketing and customer support budgets and resources'. Among 'smaller and/or niche cloud service providers' it names 'OVHcloud, Akamai (Linode), Hetzner, Vultr, and Contabo'. Its products cover the same categories as the larger clouds (virtual machines, managed Kubernetes and databases, serverless functions, GPUs and inference), packaged for smaller customers: 'Our goal is to address the core needs of our customer base instead of offering thousands of complex products and services that are more suited to large enterprise companies.' Growth is speeding up: the 2026-08-04 presentation says Q2 2026 revenue grew 29%, 'more than double a year ago'. No third-party share figure was found, and nothing cited places DigitalOcean ahead of the smaller providers or close behind the large ones, so the band is at parity rather than fast follower. |
| Pricing power | moderate Mixed. Gross profit has stayed in proportion through the cycle - the 10-K’s income statement shows $265,814 thousand on revenue of $467,641 thousand in 2025 - and the Q2 2026 release (https://www.sec.gov/Archives/edgar/data/0001288469/000128846926000050/a06302026exhibit991.htm) reports GAAP gross margin of 57.8% against 56.5% a year earlier, guiding Q3 to 57.0%-60.0%. But the 10-K says “From time to time, we have reduced the average unit price of our products due to competitive pricing pressures, new product introductions by us or our competitors, and for other reasons, and we expect that we will have to do so again in the future”, that under some distributor agreements “we provide protection for reductions in selling prices of the distributors' inventory”, and in optical DSPs it entered as the lower-priced challenger. | 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). | moderate Gross profit kept pace with revenue from 2023 to 2025 but fell behind in Q2 2026; the 10-Q says 'The decline in gross margin resulted from incurrence of costs for data center expansions in advance of the ramp in revenue from new data centers.' SEC XBRL data carried in TradingPilot fundamentals show gross profit of $397,497 thousand on revenue of $692,884 thousand in 2023, $465,943 thousand on $780,615 thousand in 2024, and $539,592 thousand on $901,427 thousand in 2025. The 10-Q filed 2026-08-04 shows $154,662 thousand on $281,184 thousand for Q2 2026, against $130,945 thousand on $218,700 thousand in Q2 2025. The 10-K warns that 'certain customers may demand substantial price concessions', that 'in the future we may be required to reduce our prices or develop new pricing models', and that customers 'may reduce their usage to lower-cost pricing tiers'. |
| Summary | MaxLinear is a fabless designer of RF, analog and mixed-signal communications SoCs whose core skill, per its FY2025 10-K, is combining broadband RF and analog front ends with digital signal processing in standard CMOS. It sells into broadband access (cable, fiber PON and DSL gateways - approximately 44% of 2025 net revenue), home connectivity (Wi-Fi, MoCA, G.hn and Ethernet), wired and wireless infrastructure including optical data-center DSPs, and industrial and multi-market interface and power products. After a downturn that took revenue from $693,263 thousand in 2023 to $360,528 thousand in 2024, the AI optical ramp is turning it around: the Q2 2026 release reports revenue of $168,847 thousand, up 55% year over year, with the infrastructure business up 145% on the Keystone PAM4 DSP ramp for 800G, and management raised its 2026 optical data-center revenue outlook to $210 million-$230 million on the call. The moat question is whether that growth rests on anything durable. In optical DSPs MaxLinear entered as a lower-priced second source to Marvell; elsewhere it competes with Broadcom, Qualcomm, Realtek and MediaTek, which can integrate the functions it sells; customers are concentrated; and the 10-K still carries the Silicon Motion arbitration over its terminated merger, whose outcome it says it cannot predict. On this record MaxLinear is a technically capable challenger without a moat. | 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'. | DigitalOcean rents cloud computing to developers, smaller technology companies and, increasingly, AI-native companies. Its products are Droplet virtual machines, storage and networking; managed Kubernetes, databases and hosting (the Cloudways business); GPU Droplets and bare-metal GPUs; and an inference and AI-agent platform. The FY2025 10-K says it aims at 'the portion of the cloud market whose needs are not fully met by larger cloud providers'. It sells through a self-service model, with free 24/7 support and 'highly predictable pricing that is the same across regions and usage volumes'. Annual run-rate revenue (ARR) grew from $723 million in 2023 to $820 million in 2024 and $970 million in 2025. About 21,000 Digital Native Enterprise customers, those spending more than $500 a month, supplied 60% of 2025 revenue, and the top 25 customers made up 10%. By mid-2026 the business was turning toward AI. The Q2 2026 earnings presentation (2026-08-04) shows revenue up 29% and AI Customer ARR of $234M, up 212% and equal to 21% of total company ARR. This profile rates no moat: customers can leave without notice, the main rivals are far larger, and the AI growth is too new to show staying power. |
| Chain position | MaxLinear sells chips, much of it through Asian distributors, ODMs and module makers - products shipped to Asia were 82% of 2025 net revenue, including 49% to Hong Kong - that build cable modems, PON terminals, Wi-Fi gateways, base-station radios and optical transceivers for operators and hyperscale data centers. In the AI chain it sits beside the optical-module makers as a DSP supplier, competing with Marvell and Broadcom and, at vertically integrated module makers, with internally supplied components. | 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. | Downstream cloud provider: rents CPU and NVIDIA and AMD GPU capacity (H100, H200, HGX B300; MI300X, MI350X, MI355X per the Q2 2026 presentation) from leased data centers to developers, smaller technology companies and AI-native companies. |
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| Long-horizon vote | +0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.30 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. |