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 | KLA Corporation | Tesla, Inc. | |
|---|---|---|---|
| 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. | wide The fiscal 2026 10-K states 'The strength of our competitive positions in many of our existing markets is primarily due to our leading technology', and frames process control as 'an essential enabler' of the yield ramp in fabs the filing says now cost 'well above $10 billion'. | 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. |
| 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. | intangibles ip The 10-K reports over 9,100 active patents and over 3,600 pending applications with terms running through 2045, alongside proprietary process-control software (Klarity, I-PAT, aiSIGHT) that turns inspection and metrology data into yield learning. | 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. |
| 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. | clear leader The 10-K opens by describing KLA as a supplier of 'industry-leading equipment and services' and attributes its competitive positions 'in many of our existing markets' primarily to leading technology; named competitors are Applied Materials, ASML, Hitachi High-Tech, Lasertec and Onto Innovation. | 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. |
| 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. | strong Services were approximately 23% of fiscal 2026 total revenues on an installed base that recurs, backlog nearly doubled to $12.57 billion, and SEC-reported net income was 35.6% of revenue in fiscal 2026 with operating income at 41.2% of revenue in fiscal 2025. | 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). |
| 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. | KLA sells the inspection, metrology and yield-management layer a fab must run to reach volume production: the 10-K says accelerating the yield ramp ahead of competitors is critical to chipmakers' profitability, and backlog nearly doubled from $7.86 billion to $12.57 billion in the year to June 30, 2026 'due to strong demand driven by the AI infrastructure buildout'. | 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 | A hybrid-cloud platform, enterprise-AI (watsonx), and consulting provider to large enterprises — a software/cloud layer of the AI stack. | Sits beside the process steps rather than in them — it measures and inspects what deposition, etch and lithography produce, and TSMC alone exceeded 10% of revenue in each of the last three fiscal years. | Downstream AI application/end-user: consumes AI compute (NVIDIA) and custom inference silicon (Samsung/TSMC) to build autonomy (FSD/Robotaxi) and robotics (Optimus). |
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| Long-horizon vote | +0.06 at weight 0.20 · swarm bearish Editorial prior, not backtested. | +0.42 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |