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.
| Tesla, Inc. | Digital Realty Trust | Seagate Technology | |
|---|---|---|---|
| Moat rating | 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. | narrow The FY2025 10-K's own competitive record cuts both ways. Item 1 says a "high-quality, highly interconnected global portfolio such as ours could not be easily replicated today on a cost-competitive basis," yet Item 1A concedes that competitors have "significantly greater financial, marketing and other resources and more ready access to capital" and that as rivals keep developing space, "rental rates may be reduced or we may face delays in leasing." A durable advantage that its own filing says new supply can price against is bounded, not unassailable. | narrow The FY2026 10-K names Western Digital and Toshiba as the HDD competitors plus 'NAND flash suppliers that provide and enable alternative storage technologies' — a two-and-a-half-player market with a substitute technology pressing on it, defended by scale rather than lock-in. |
| Moat type | 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. | network effects Item 1 attributes the hard-to-replicate part of the portfolio to connectivity rather than to real estate: "the network density, interconnection infrastructure and connectivity-centric customers in certain of our data centers have led to the organic formation of densely connected data communities that are difficult for competitors to replicate." That community sits on over 232,000 cross connects in over 55 metros, so each network and cloud that lands makes the same building worth more to the next tenant. | cost scale The filing grounds its position in 'our areal density-driven technology roadmap' and 'vertically integrated engineering and manufacturing capabilities' — cost per terabyte at scale is the moat. |
| Leadership | 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. | co leader Item 1 claims the title of "the largest global provider of cloud- and carrier-neutral data center, colocation and interconnection solutions," but the Competition section names Equinix and NTT as operators of properties "similar to ours in some of the same metropolitan areas," plus Global Switch and regional operators abroad — a shared top tier on the company's own telling, not a solitary one. | co leader The competition section names exactly two HDD rivals — Western Digital and Toshiba — making this one of three global suppliers of the technology. |
| Pricing power | 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). | strong FY2025 renewals signed re-priced upward in every bucket — +27.0% on greater-than-1 MW space ($146 to $186 per square foot), +4.6% on 0-1 MW ($268 to $280) and +43.0% on other ($49 to $71) — and MD&A expects average aggregate rental rates on 2026 renewals to be positive against the rates currently paid for the same space "on a GAAP basis and on a cash basis." On costs, the filing says utilities expense "is our largest expense category" and that "the vast majority of the expense is passed directly through to our customers," which it credits with significantly mitigating exposure to power-cost increases rather than removing it. The cap: Item 1A warns competitor development could still force rates down. | weak The filing's own list of competitive factors leads with capacity, performance and 'total cost of ownership' — buyers evaluate on delivered cost, and hyperscale customers purchase under master agreements with demand forecasts, which is buyer leverage. |
| Summary | 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. | Digital Realty rents space, power and connectivity rather than compute: at 2025 year-end its portfolio held 310 data centers and roughly 57.6 million rentable square feet across more than 55 metros in over 30 countries, about 84.7% leased, serving more than 5,000 customers. Two different businesses sit inside that footprint. The greater-than-1 MW wholesale side is a capital-and-power race — 769 MW of projects underway with 64% pre-leased, and land that "could accommodate over 3,500 megawatts of additional data center capacity" — where the 10-K names Equinix, NTT, Global Switch and "various private operators" as rivals and warns that added supply can push rents down. The colocation and interconnection side is the defended half: over 232,000 cross connects and the "densely connected data communities" Item 1 says competitors cannot easily replicate, reinforced by contracts the filing describes as generally running 5-10+ years on large deployments and by improvements "installed at our customers' expense." FY2025 leasing supports that read — renewals signed re-priced +27.0% on greater-than-1 MW space and +4.6% on 0-1 MW — while customer concentration is the offsetting exposure, with the largest customer at roughly 11.7% of annualized recurring revenue. | Seagate sells mass-capacity storage economics: HDDs to 44TB and systems to 3.5PB for hyperscalers, CSPs and OEMs, with the filing calling HDDs 'a foundational technology for delivering scalable, energy-efficient, mass-capacity storage with favorable storage economics.' The counterweight the same section names is NAND: flash suppliers 'enable alternative storage technologies,' so the moat is a cost race, not a fortress. |
| Chain position | Downstream AI application/end-user: consumes AI compute (NVIDIA) and custom inference silicon (Samsung/TSMC) to build autonomy (FSD/Robotaxi) and robotics (Optimus). | Landlord to the AI stack — sells the space, power and interconnection that cloud, network and enterprise tenants run compute in (Oracle, IBM, Meta Platforms, AT&T, Comcast and Lumen are among the customers named in Item 1), with roughly 2.9 GW of total in-place IT capacity. | Layer-3 mass-capacity storage under every AI data lake. |
| Products (share / barrier) |
|
|
|
| Long-horizon vote | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.17 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.05 at weight 0.20 · swarm neutral Editorial prior, not backtested. |