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The FY2025 10-K describes the nation's largest nuclear fleet — approximately 22 GW across 14 stations producing 68% of 2025 electric supply — running at a 94.7% capacity factor that 'has been approximately four percentage points better than the industry average annually since 2013', with NRC licences extending to 2054 and an IRA nuclear production tax credit floor from 2024.

來源：sec.gov

Narrow, not wide, because the FY2026 10-K documents a strong installed base and a competitive position the company itself says is under erosion. On the asset side: revenue of $4.7 billion (29% growth in each of the last three fiscal years), 13,328 total customers up from 10,996, 790 of the Forbes Global 2000 contributing about 43% of revenue, 733 customers above $1 million in trailing-12-month product revenue up from 576, a 125% net revenue retention rate, and more than 1,050 issued U.S. patents. Against that, Item 1A states plainly that adopting open data formats like Apache Iceberg means 'there is less customer “lock in” when our products are used in external environments' and that 'our support of open data formats may also reduce switching costs between us and our competitors'; that AWS, Azure and GCP 'generally compete in all of our markets' while also supplying the infrastructure a 'substantial majority of our business is run on'; and that the company remains loss-making at $1.3 billion of net loss for the year.

來源：sec.gov

寬闊：CUDA 軟體平台及其開發者既有使用者基礎在整個 AI 訓練技術堆疊上形成高昂的轉換成本，由累計 $76.7B 研發投入護持，並被 FY2026 約 71% 的毛利率以及年增 68% 的資料中心營收（約佔總額 90%）所強化——依 FY2026 10-K，這些是持久且難以複製的優勢。

來源：sec.gov

The cited edge is operating cost at scale: average refuelling outages of 22 days in 2025 against industry averages of 33 and 38 days in 2024 and 2023, a capacity factor about four points above the industry every year since 2013, and 'significant economies of scale' in what the filing calls the largest US customer-facing energy platform.

來源：sec.gov

The filing makes its own affirmative claim of network effects — 'Our business benefits from powerful network effects. ... The more customers adopt our platform, the more data can be exchanged with other Snowflake customers, partners, data providers, and data consumers' — but the load-bearing, quantified evidence in the document points to switching costs. The platform is sold as the way to 'consolidate data into a single source of truth,' and the disclosed economics of that consolidation are a 125% net revenue retention rate and 733 customers above $1 million in trailing product revenue. Item 1A confirms the mechanism by naming what is at risk: open formats produce 'less customer “lock in”' and 'may also reduce switching costs.' The filing frames lock-in, not network density, as the thing erosion would take away.

來源：sec.gov

持久優勢建立在專有 IP 與軟體之上：可在所有 NVIDIA GPU 上運行的全端 CUDA 開發平台，加上數百個專有領域函式庫/SDK/API，以及累計 $76.7B 研發投入所帶來的 "inventions that are essential to modern computing"（NVIDIA 於 1999 年發明了 GPU）。依 FY2026 10-K 的業務章節，這一優勢還被開發者生態系的網路效應與 CUDA 轉換成本進一步強化。

來源：sec.gov

The 10-K states Constellation is 'the largest nuclear energy company in the U.S.', is 'the nation's largest energy supplier for C&I and residential power volumes' based on EEI data, and has 'over 32% of the C&I market share of direct customer business'.

來源：sec.gov

The 10-K contains no ranking, market-share figure, or claim of leadership, and it names no non-hyperscaler competitor by name. The band rests on disclosed scale — $4.7 billion of revenue, 13,328 customers, 9,060 employees across 36 countries — set against the filing's own statement that 'many of our competitors have substantially greater brand recognition, customer relationships, and financial, technical, and other resources than we do.' Co-leader among independent cloud data platforms; not a leader over AWS, Azure and GCP, which the filing says compete in all of its markets.

來源：sec.gov

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.

來源：sec.gov

The 10-K states 'While providing customers with a competitive price is a key focus' in retail, on roughly two-year average C&I contract terms with 77% power and 84% gas renewal rates in 2025, and the nuclear fleet's downside is set by the IRA nuclear PTC 'as unit revenues decline below levels established in the IRA'; SEC-reported operating income was 13.6% of revenue in 2025.

來源：sec.gov

The consumption model plus 125% net revenue retention shows real expansion pricing, and the filing argues it competes on 'pricing transparency and optimized price-performance.' But Item 1A limits how far that goes: competition 'may negatively impact our ability to acquire new customers ... put downward pressure on our prices and gross margins'; the company 'may not be able to ... offer as many discounts or free services as our competitors'; results depend on 'changes in our pricing model, including in response to significant price discounts by our competitors' and on 'customer optimization efforts that result in reduced consumption.' On the cost side, 'our costs and gross margins are significantly influenced by the prices we are able to negotiate with these public cloud providers, which in certain cases are also our competitors.'

來源：sec.gov

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.

來源：sec.gov

Generator and retailer in one — the fleet is the physical supply behind the long-term carbon-free contracts it sells to large corporate buyers.

Sits at the enterprise data and governance layer of the AI stack, and the AI exposure is explicit rather than incidental: the filing brands the product the 'AI Data Cloud,' lists AI as a product category, and put Snowflake Intelligence, Cortex Agents and a Managed MCP Server into general availability during the fiscal year. It is a buyer of hyperscaler compute and of third-party frontier models — 'strategic partnerships with foundational model providers deliver state-of-the-art models natively within Snowflake Cortex AI,' with stated 'model neutrality' — and a supplier of governed enterprise data and GPU-backed managed compute to AI applications built on top.

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.

• Carbon-free energy products (CORe+, Hourly CFE, long-term nuclear agreements) 未知 · 深 來源：sec.gov
• Competitive retail energy supply 領先 · 中等 來源：sec.gov
• Natural gas and geothermal generation (including Calpine) 領先 · 中等 來源：sec.gov
• Nuclear generation fleet 領先 · 深 來源：sec.gov
• Wholesale power and gas marketing 未知 · 低 來源：sec.gov

• Analytics 前三 · 深 來源：sec.gov
• Data Engineering 挑戰者 · 中等 來源：sec.gov
• Snowflake Cortex AI 挑戰者 · 中等 來源：sec.gov
• Snowflake Marketplace and Data Collaboration 領先 · 深 來源：sec.gov
• Snowflake Postgres and Unistore 利基市場 · 低 來源：sec.gov
• Snowpark and Native Application Framework 利基市場 · 中等 來源：sec.gov

• CUDA accelerated-computing software platform (CUDA-X, NVIDIA AI Enterprise) 領先 · 深 來源：sec.gov
• Data Center AI accelerators (GPU — Blackwell/Hopper) 領先 · 深 來源：sec.gov
• Data-center networking / interconnect (NVLink, InfiniBand, Spectrum Ethernet, DPUs) 前三 · 中等 來源：sec.gov

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檢視它究竟如何投票 →

編輯先驗，未經回測。

檢視它究竟如何投票 →

編輯先驗，未經回測。

檢視它究竟如何投票 →