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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 MongoDB×MaxLinear×Tesla, Inc.× maximum of 3 — remove one to swap
MongoDB MDB ai moat: latest change 2026-03-11 MaxLinear MXL ai moat: latest change 2026-01-29 Tesla, Inc. TSLA ai moat: latest change 2026-01-29
Moat rating narrow

The FY2026 10-K frames a 'rapidly evolving and highly competitive' database market where the principal rivals — 'legacy database providers and large cloud providers' — hold explicit advantages: 'longer operating histories, more established relationships … significantly greater financial, technical, marketing or other resources … broader global distribution,' and can offer competing products 'at a low cost or no cost.' A developer-mindshare and switching-cost position is defensible but not wide against that field.

source: sec.gov

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.

source: sec.gov

narrow

Tesla's FY2025 10-K calls the automotive market "highly competitive" and expects it to "become even more competitive," and its energy-storage market "also highly competitive"; gross margin compressed from ~25.6% (FY2022) to ~18% (FY2023-FY2025) amid price cuts — a real but contested moat, not a wide one.

source: sec.gov

Moat type switching costs

A database is the system an application is built on: the 10-K states 'a database directly impacts an application's performance, scalability, flexibility and reliability,' and Atlas is 'our managed multi-cloud database-as-a-service' running the customer's live workloads — re-platforming a database is a rewrite, not a swap.

source: sec.gov

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.

source: sec.gov

intangibles ip

The 10-K attributes Tesla's differentiation to a "vertically integrated business model, and focus on user experience," delivering "AI-related and enhanced software" via FSD (Supervised) and neural-network capabilities — a brand-plus-proprietary-technology (EV/battery + autonomy) intangible edge.

source: sec.gov

Leadership co leader

The 10-K positions MongoDB as the leading document database by developer mindshare but names 'legacy database providers and large cloud providers' as better-resourced rivals across the broader database market — a category leader within a market it does not lead overall.

source: sec.gov

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.

source: sec.gov

co leader

A leading global EV maker whose Model Y is among the world's best-selling vehicles, but the 10-K acknowledges "a significant and growing number of established and new" competitors entering EVs, and Tesla competes in autonomy/robotics as one of several players.

source: sec.gov

Pricing power moderate

Owning the IP and the roadmap ('the determination of which features are included in our free or paid offerings') gives real list-price control, but the same filing flags competitors offering database products 'at a low cost or no cost basis,' which caps it.

source: sec.gov

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.

source: sec.gov

moderate

Gross margin fell from ~25.6% (FY2022) to ~18.0% (FY2025) as Tesla cut prices to defend volume, though it remains above most auto peers (SEC financials in the FY2025 10-K).

source: sec.gov

Summary

MongoDB monetizes developer mindshare that began as open source: the 10-K notes 'we own the intellectual property of our offerings since we are the creators of the software,' which lets it run a 'proprietary software subscription business model' and control the roadmap. The durable asset is the document-model install base and Atlas's managed multi-cloud workloads, positioned for AI as 'the underlying database … capable of processing queries against rich and complex data structures.' The counterweight, in the filing's own words, is that the large cloud providers it depends on for Atlas hosting are also its best-resourced competitors.

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.

Tesla's edge rests on a vertically integrated manufacturing model, a strong brand, the Supercharger network, a fast-growing energy-storage business, and the largest supervised-FSD fleet feeding its autonomy neural networks. But its FY2025 10-K itself calls both the automotive and energy-storage markets "highly competitive" and expects auto to become "even more competitive," and gross margin has compressed from ~26% to ~18%, so the moat is durable but contested rather than wide.

Chain position

Layer-10 application-layer data platform — the operational database under AI and general software workloads.

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.

Downstream AI application/end-user: consumes AI compute (NVIDIA) and custom inference silicon (Samsung/TSMC) to build autonomy (FSD/Robotaxi) and robotics (Optimus).

Products (share / barrier)
  • Electric vehicles (Model 3/Y/S/X/Cybertruck) Top 3 · Moderate source: sec.gov
  • Energy generation & storage (Powerwall, Megapack) Top 3 · Moderate source: sec.gov
  • Full Self-Driving / autonomy (FSD, Robotaxi) Challenger · Moderate source: sec.gov
  • Optimus (humanoid robot) Unknown · Moderate source: sec.gov
  • Supercharger / charging network Leader · Moderate source: sec.gov
Long-horizon vote +0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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+0.01 at weight 0.20 · swarm neutral

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+0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

see exactly how it voted →