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.
| NVIDIA | Applied Digital | Tempus AI | |
|---|---|---|---|
| Moat rating | wide Wide: the CUDA software platform and its developer installed base create high switching costs across the AI-training stack, defended by $76.7B cumulative R&D and reinforced by ~71% FY2026 gross margins and Data Center revenue (~90% of total) up 68% YoY — durable, hard-to-replicate advantages per the FY2026 10-K. | none The FY2026 10-K (filed 2026-07-29) shows contracted revenue, not a demonstrated competitive edge. About 1,410 MW is leased under 15-year take-or-pay, non-cancellable base terms worth about $36.2 billion, but only about 100 MW of the roughly 1.5 GW that is contracted and either operating or under construction was operating and earning revenue at May 31, 2026, and Item 1A says "lessees may have the right to terminate applicable leases if there are significant delays in construction." Item 1A also concedes "We do not have the resources to compete with larger providers of similar products or services at this time," and the Competition section names 13 power-advantaged developers the company competes with. Signed leases give revenue visibility, but the filing does not show a durable advantage. | narrow The FY2025 10-K documents a real asset: a network "connected in some way to more than 55% of all oncologists practicing in the United States" and "more than 65% of all academic medical centers," via "more than 700 unique data connections" across "more than 5,000 healthcare institution sites," with "broad data rights, including the rights to longitudinally updated data." Not eroding: revenue $693.4M to $1,271.8M (+83%), net loss narrowed from $705.8M to $245.0M. Not wide: still loss-making against "an accumulated deficit of $2.4 billion," with payment received on only "approximately 55% of our clinical oncology NGS tests and 50% of our hereditary tests." |
| Moat type | intangibles ip The durable edge rests on proprietary IP and software: the full-stack CUDA development platform running on all NVIDIA GPUs plus hundreds of proprietary domain libraries/SDKs/APIs, and $76.7B cumulative R&D yielding "inventions that are essential to modern computing" (NVIDIA invented the GPU in 1999). This is reinforced by developer-ecosystem network effects and CUDA switching costs, per the FY2026 10-K Business section. | none The 10-K claims three advantages: power-advantaged sites (it believes securing power and interconnection ahead of demand is 'the principal constraint on new HPC capacity and a core differentiator for us from many of our competitors'), a standardized 'franchise-style' design, and hyperscaler master service and master telecom service agreements 'that are difficult to obtain.' The filing does not show any of them to be durable. Its Competition section says competition 'centers on securing and developing sites with access to large-scale, reliable, and cost-competitive power and interconnection' and names 13 power-advantaged developers going after the same leases, and Item 1A concedes it lacks the resources to compete with larger providers. Signed leases are take-or-pay and non-cancellable, so a tenant leaving for convenience owes 'the full remaining contractual value,' but that is contractual lock-in on each lease rather than a moat source, so no moat type is assigned. | network effects The filing states the mechanism: "Each product line is designed to enable and enhance the other, thereby creating network effects." That is the filing's own characterisation, so the rating rests on corroborating facts: 700+ data connections across 5,000+ sites with longitudinal rights; roughly 801,000 tests in FY2025 (about 340,500 Oncology) feeding the records Insights licenses; Insights working with "19 of the 20 largest public pharmaceutical companies based on 2024 revenue" at "approximately 126%" net revenue retention. Intangibles fit less well: the xT PMA, ADLT status, Paige's clearance and five CAP/CLIA labs are real, but named peers hold comparable approvals. |
| Leadership | clear leader FY2026 Data Center revenue was $193.7B (~90% of the $215.9B total), up 68% YoY on the Blackwell ramp, and NVIDIA describes itself as "a data center scale AI infrastructure company reshaping all industries." The 10-K frames named rivals as parties who "provide or intend to provide" GPUs/accelerators — incumbent-leader positioning. | behind The 10-K makes no leadership claim and gives no ranking or share figure. Item 1A concedes "We do not have the resources to compete with larger providers of similar products or services at this time" and that some rivals have "substantially greater liquidity and financial resources than we do." Its Competition section places APLD against established operators (Digital Realty, Equinix), hyperscalers that build their own capacity, independent developers and 13 named power-advantaged developers (IREN, Cipher Digital, TeraWulf, Hut 8, Riot, CleanSpark, HIVE, Core Scientific, Bitdeer, Galaxy Digital, Fermi, Keel Infrastructure, MARA). | at parity The filing claims no ranked lead; its positional language is hedged, as in "one of the largest sequencers of cancer patients... in the United States." Two disclosures cut the other way: the reimbursement goal is to become "more in line with other NGS providers who have adopted similar strategies, such as FMI and Guardant," and competitors "may have longer operating histories; larger customer bases; greater brand recognition and market penetration." Competition names Foundation Medicine (Roche), Caris, Guardant, Natera, Neogenomics, Quest, LabCorp, Flatiron, IQVIA, ConcertAI and major CROs, all unranked. Scaled positions on both sides support parity, not a top position. |
| Pricing power | strong FY2026 gross margin was 71.1% (75.0% in FY2025); per the 10-K MD&A the ~3.9pt decline reflects the Hopper HGX→Blackwell full-system mix shift and a one-time $4.5B H20 excess-inventory/purchase-obligation charge, not competitive price erosion. A low-70s% hardware gross margin evidences strong pricing power. | weak Item 1A says "Due to the limited number of hyperscalers, we expect that a limited number of customers will continue to account for a high percentage of our revenue for the foreseeable future," and that if customers' equipment usage declines or they discontinue use of its facilities, APLD "may be compelled to lower our lease prices in some instances or risk losing a significant customer." One customer was 59% of FY2026 revenue from continuing operations. Take-or-pay, non-cancellable terms protect contracted revenue over the base term, and Note 19 reports a $39.1M HPC Hosting segment profit on $385.3M of segment revenue in FY2026, but those terms are agreed with a small group of concentrated buyers. | weak Diagnostics prices are administered: after a CPT code is set, "CMS, establish payment levels and coverage rules under Medicare," delegating to MACs, while "Private payers establish their rates and coverage rules independently." Average revenue per Oncology test rose from about $1,510 to about $1,600, "driven primarily by increased Medicare reimbursement rates" — the payer moved the price. Collection came on "approximately 55% of our clinical oncology NGS tests and 50% of our hereditary tests," and payer "cost-saving initiatives... are likely to result in pricing pressures." The moderate pocket is confined to Data and applications ($316.4M of $1,271.8M). |
| Summary | NVIDIA pairs market-leading accelerated-computing hardware (the Blackwell data-center platform) with a proprietary full-stack software moat — CUDA plus hundreds of domain libraries — funded by $76.7B of cumulative R&D, and its "large and growing number of developers and installed base... strengthens our ecosystem and increases the value of our platform for our customers" (FY2026 10-K). Competition is intensifying from AMD, Intel and Huawei, and from hyperscalers (Alphabet, Amazon, Microsoft) designing internal AI silicon, but rivals must overcome NVIDIA's entrenched CUDA software ecosystem to displace it. | Applied Digital designs, builds and operates purpose-built, liquid-cooled HPC data centers, which it calls 'AI factories', and leases the capacity to CoreWeave and investment-grade hyperscalers. At May 31, 2026 its 10-K lists five campuses (Polaris Forge 1-3 and Delta Forge 1-2) with about 1,410 MW contracted under roughly 15-year take-or-pay, non-cancellable leases worth about $36.2 billion over the base terms. The filing claims three sources of advantage: it controls power-advantaged sites, it uses a standardized 'franchise-style' design built to deliver about 150 MW in about 14 to 18 months, and it holds hyperscaler master agreements that are 'difficult to obtain.' The same document shows how early the company is. About 100 MW was operating and earning revenue. One customer was 59% of FY2026 revenue from continuing operations. It competes with Digital Realty, Equinix, hyperscalers that build their own capacity and 13 named power-advantaged developers, and it concedes that it lacks the resources to compete with larger providers. Signed leases give long-dated revenue visibility, but the filing does not show a durable competitive advantage. | Tempus AI's durable asset is an installed provider network and the longitudinal data rights attached to it, not any single assay: connections to more than 55% of practicing U.S. oncologists and more than 65% of academic medical centers, 700+ data connections across 5,000+ institution sites. That network makes the linked clinical-molecular database sellable — Insights serves 19 of the 20 largest public pharmaceutical companies by 2024 revenue at roughly 126% net revenue retention, and the trial network (1,400+ trials signed, 40,000+ patients identified) depends on the sequencing base. Economics are improving: revenue up 83% to $1.27B, net loss down from $705.8M to $245.0M. It stops short of wide on the filing's own terms — a $2.4B accumulated deficit, payment on only ~55% of oncology and ~50% of hereditary tests, and Diagnostics prices set by CMS, MACs and private payers. |
| Chain position | Upstream compute-platform supplier: NVIDIA sells full-stack data-center systems (GPU + Arm CPU + DPU + NVLink/InfiniBand networking + CUDA software) to cloud providers and enterprises, and relies on third-party foundry/assembly-test-packaging partners (e.g., SPIL, Amkor, Wistron, Fabrinet). Per the FY2026 10-K, several of its largest customers (hyperscalers such as Amazon, Alphabet, Microsoft) are simultaneously customers and emerging competitors developing internal accelerated-computing silicon. | Developer and landlord of power-advantaged, liquid-cooled AI data-center capacity, leased long-term to CoreWeave and investment-grade hyperscalers. | Tempus sits between clinical care and pharma R&D. It ingests data from 5,000+ institution sites, runs five CAP/CLIA labs (Chicago, Atlanta, Raleigh, Aliso Viejo, Minneapolis via OneOme), and sells Diagnostics to providers and payers ($955.4M FY2025, +111%, administered) and Data and applications to pharma ($316.4M, +31%, negotiated). The clinical output is the data business's input. |
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| Long-horizon vote | +0.42 at weight 0.20 · swarm bullish Editorial prior, not backtested. | -0.20 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. |