CoreWeave, Inc. Class A Common Stock

CoreWeave, Inc. Class A Common Stock

CRWV

$86.47

Updated: 24/09/2026, 17:43:33

Market Cap
$47.16B
Sector
Technology
Industry
Software - Infrastructure
Country
US
Stock valuation chart
One-year closing share-price history for CRWV
Company Profile

CoreWeave, Inc. operates a specialized cloud computing platform designed to empower generative AI (GenAI) applications. It constructs the fundamental infrastructure necessary to manage intensive compute workloads for large enterprises. The company's comprehensive suite of offerings includes high-performance GPU and CPU compute resources, robust storage solutions, advanced networking capabilities, and fully managed services. Clients can choose from flexible virtual servers or powerful bare-metal options. Beyond core hardware, its platform integrates sophisticated tools like a fleet lifecycle controller, a node lifecycle controller, Tensorizer, and advanced observability features. CoreWeave's expertise also extends to specialized services, such as visual effects (VFX) and rendering, AI model training, AI inference, and "Mission Control." Originally incorporated in 2017 as Atlantic Crypto Corporation, the company rebranded to CoreWeave, Inc. in December 2019 and is headquartered in Livingston, New Jersey.

USD
NASDAQ
CEO: Michael N. Intrator
Employees: 2,189
https://www.coreweave.com
Asset Summaries
Latest generated summaries for CRWV

No summaries found.

Detailed business
Evidence-backed facts extracted from the latest official annual filing.
CRWV-10-k-fy2025.html2.7 MBtext/htmlENFiled 02/03/2026Period ended 31/12/2025

Business monitoring

Reported and calculated KPIs plus operational exposure disclosed in the FY 2025 filing.

Evidence-backed · 50 KPI observations

Revenue

$5.1B

FY 2025 · Reported

Net income

$-1.2B

FY 2025 · Reported

Gross margin

71.7%

FY 2025 · Calculated

Free cash flow

$-7.3B

FY 2025 · Calculated

R&D intensity

6.9%

FY 2025 · Calculated

Share repurchases

N/A

FY — · Reported

Earnings and cash generation
USD billions, directly sourced from inline XBRL; free cash flow is operating cash flow less capex.
Profitability and reinvestment
Margins and R&D as a percentage of revenue.
Top products and services
Products and services mentioned in the filing; a quantitative sales breakdown was not disclosed.

Other offerings mentioned without separate sales

CoreWeave Cloud Platform components (MD&A)
Service delivery layers
CoreWeave Mission Control and SUNK software
Weights & Biases software

Area-level product sales are displayed only when the filing reports a product × geography breakdown. Regional totals are not allocated across products by estimation.

Geographic footprint
What the filing identifies, separated by location role so partner manufacturing is not presented as Apple-owned factories.
1 named headquarters
0 manufacturing countries
0 individually named factories

Map layer

Pins show disclosed operations. The heatmap colors the filing’s reported geographies; regional figures shade the region and are not estimates for each country.

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Named headquarters Manufacturing partner country

Only locations and quantities explicitly supported by the filing are displayed. A country-level manufacturing percentage or product allocation is shown only when the source discloses it; materiality scores are never presented as production shares.

How the business makes money

CoreWeave business overview

The Essential Cloud for AI — purpose-built AI cloud platform (training, inference, agentic workflows)

95%
Source evidence
“CoreWeave is The Essential Cloud for AITM, purpose-built to accelerate breakthroughs by AI pioneers, from leading research labs to enterprises fueling business growth.”

Customer base and contract model

Enterprises, AI labs, technology companies; multi-year take-or-pay contracts and on-demand pay-as-you-go

95%
Source evidence
“We serve a range of customers, including leading enterprises, AI labs, and technology companies deploying AI at scale across a variety of use cases. Customers generally access our platform through multi-year committed contracts, under which they purchase a specified amount of capacity on a take-or-pay basis over the contract term.”

CoreWeave Cloud Platform components (MD&A)

Platform components: Networking Backbone, Foundational Infrastructure, Data and Storage, Infrastructure Control, Mission Control, Runtime Acceleration, Model and Agent Development

95%
Source evidence
“CoreWeave's purpose-built storage combines exascale, AI-optimized object and file storage with GPU-local caching and Local Tier Acceleration (LOTA™) to deliver high-throughput data access, cross-cloud reach, and predictable economics for training and inference.”

Service delivery layers

Infrastructure Services, Managed Software Services, Application Software Services, proprietary storage, Mission Control, developer tools

95%
Source evidence
“We deliver our cloud services through Infrastructure Services, Managed Software Services, and Application Software Services, including proprietary storage solutions, CoreWeave Mission Control, as well as developer tools”

CoreWeave Mission Control and SUNK software

CoreWeave Mission Control orchestration software; SUNK (Slurm on Kubernetes)

95%
Source evidence
“Our proprietary orchestration, automation, and observability software, CoreWeave Mission ControlTM, enables CoreWeave and our customers to efficiently provision infrastructure, schedule and manage workloads, and monitor performance across training and inference environments. We offer Slurm on Kubernetes ("SUNK") to support large-scale AI research and training workloads.”

Weights & Biases software

Weights & Biases® developer/AI research software

90%
Source evidence
“Our software solutions, including Weights & Biases®, provide AI researchers and developers with the tools required to train and fine-tune models and to build, deploy, and scale the applications through which AI is delivered to end users.”

Operations and dependencies

Data center footprint growth

43 data centers, >850 MW active power, ~3.1 GW contracted as of Dec 31, 2025 (vs 32 DCs/360 MW in 2024; 10 DCs/70 MW in 2023)

95%
Source evidence
“As of December 31, 2025, we operated 43 data centers with over 850 MW of active power. As of December 31, 2025, our total contracted power capacity was approximately 3.1 GW”

Infrastructure sourcing relationships

Sourcing via semiconductor manufacturers, OEMs, ODMs, software providers; no in-house component manufacturing

95%
Source evidence
“We maintain relationships with semiconductor manufacturers, original equipment manufacturers ("OEMs"), original design manufactures ("ODMs"), and software providers to support the sourcing and deployment of infrastructure components used in our platform.”

Supplier concentration

FY2025: top three suppliers = 23%, 20%, 17% of total purchases; FY2024: 46%, 16%...

85%
Source evidence
“for the year ended December 31, 2025, three suppliers accounted for 23%, 20%, and 17% of total purchases, for the year ended December 31, 2024, three suppliers accounted for 46%, 16”

NVIDIA GPU dependency

All GPUs in infrastructure are NVIDIA GPUs

95%
Source evidence
“For example, as a result of our obligations in our current customer contracts, all of the GPUs used in our infrastructure today are NVIDIA GPUs.”

Positioning and strategy

Acquisitions

Acquired Weights & Biases, OpenPipe, Marimo, and Monolith AI (Nov 2025)

95%
Source evidence
“our ability to realize and the expected timing for the benefits and impacts of our acquisitions of Weights & Biases, Inc., OpenPipe Inc., Marimo Inc., and Monolith AI Limited”

Securing sufficient power capacity

Build out power capacity; explore alternative/non-emitting energy solutions

95%
Source evidence
“We plan to continue to build out our access to power capacity and explore alternative energy solutions to support our growing capacity needs, including, but not limited to non-emitting sources of power.”

Adoption of AI in society

Early-stage AI commercialization; training/inference demand expected to scale

95%
Source evidence
“We believe AI is still in the early stages of its commercialization and that demand for model training and inference will continue to scale as organizations embrace new use cases for AI”

SemiAnalysis Platinum ClusterMAX rating

Sole industry Platinum provider — second Platinum ClusterMAX rating in 2025

90%
Source evidence
“CoreWeave Cloud achieved its second SemiAnalysis' Platinum ClusterMAX™ rating in 2025. CoreWeave remains the industry's sole Platinum provider.”

Investing in innovation and technology leadership

Prioritize engineering/product investment to extend AI infrastructure technology leadership

90%
Source evidence
“We plan to maintain our prioritization of investments in our engineering and product teams to continue to extend our technology leadership in AI infrastructure.”

NVIDIA collaboration framework

January 2026 collaboration framework with NVIDIA to advance AI adoption globally

90%
Source evidence
“in January 2026, we announced that we entered into a collaboration framework with NVIDIA Corporation to expand our long-standing complementary relationship to advance AI adoption at global scale.”

Risks, financing, and outlook

Power cost inflation and volatility

Volatile, inflationary power costs; PPAs as partial hedge

95%
Source evidence
“We expect the cost for power to continue to be volatile and unpredictable and subject to inflationary pressures, which could materially affect our financial forecasting, business, operating results, financial condition, and prospects.”

Financing structure

Asset-level debt backed by take-or-pay contracts plus corporate equity/debt; securitizations and rated parent-level debt

95%
Source evidence
“We primarily finance our infrastructure development through asset-level debt supported by take-or-pay customer contracts, supplemented by corporate-level equity and debt financing.”

Growth strategy — driving workloads from existing customers

Capture AI cloud spend via expansion of committed customers; RPO +302% to $60.7B

90%
Source evidence
“The significant benefits we deliver to these customers in terms of overall performance, efficiency, and reduced cost of ownership results in them making large initial commitments and expanding those commitments with us over time.”

Remaining performance obligations and contract duration

RPO $60.7B as of Dec 31, 2025 (up 302% from $15.1B); weighted-average contract duration ~5 years

95%
Source evidence
“As of December 31, 2025, we had $60.7 billion of remaining performance obligations ("RPO"), compared to $15.1 billion of RPO as of December 31, 2024. As of December 31, 2025, our committed contracts had a weighted-average contract duration of approximately five years.”

Revenue and net loss history

Revenue $5.1B/$1.9B/$229M and net losses $1.2B/$863M/$594M for FY2025/2024/2023

95%
Source evidence
“We incurred net losses of $1.2 billion, $863 million, and $594 million for the years ended December 31, 2025, 2024, and 2023, respectively, and we may not achieve or, if achieved, sustain profitability in the future. As of December 31, 2025, we had an accumulated deficit of $2.6 billion.”

Substantial indebtedness risk

Substantial indebtedness could materially adversely affect financial condition and cash flow

95%
Source evidence
“Our substantial indebtedness could materially adversely affect our financial condition, our ability to raise additional capital to fund our operations, our ability to operate our business”

Capital expenditure and financing needs

Substantial growing capex needs; power commitments made before customer contracts

95%
Source evidence
“Our operations require substantial and growing capital expenditures, and we will require additional capital to fund our business and support our growth”

AI adoption uncertainty

Uncertainty of AI adoption and evolving AI technology/regulatory frameworks

95%
Source evidence
“The broader adoption, use, and commercialization of artificial intelligence ("AI") technology, and the continued rapid pace of developments in the AI field, are inherently uncertain.”

Supply chain disruption risk

Limited number of suppliers for key components could delay expansion

95%
Source evidence
“We have a limited number of suppliers for significant components of the equipment we use to build and operate our platform and provide our solutions and services.”

Competition risk

Intense competition and pricing pressure from larger competitors

95%
Source evidence
“We face intense competition and could lose market share to our competitors, which would adversely affect our business, operating results, financial condition, and prospects.”

Power availability risk

Dependence on third-party power; outages and grid demand constraints could harm business

95%
Source evidence
“Our business would be harmed if we were not able to access sufficient power or by increased costs to procure power, prolonged power outages, shortages, or capacity constraints.”

Data center development and construction risk

Capital-intensive data center expansion with supply, labor, permitting, and financing risks

95%
Source evidence
“lack of availability and delays for data center equipment, including items such as GPUs, CPUs, memory, power distribution units, switchboards, breakers, cables, and cooling equipment”

Material weakness in internal control over financial reporting

Material weaknesses in internal control over financial reporting

90%
Source evidence
“our ability to remediate our material weaknesses in our internal control over financial reporting”

Governance: multi-class voting structure

Co-Founder voting power concentration via multi-class stock

90%
Source evidence
“The multi-class structure of our common stock has the effect of concentrating voting power with our Co-Founders (as defined below), which will limit your ability to influence the outcome of important transactions, including a change in control.”

Geopolitical and macro risks affecting capital access

Middle East/Ukraine conflicts, China-Taiwan tensions, tariffs, inflation, banking instability may limit capital access

90%
Source evidence
“the conflicts in the Middle East and Ukraine, tensions between China and Taiwan, and instability in Venezuela, inflation and stagflation, interest rate volatility, domestic and foreign regulatory uncertainty, changes in trade policies, including the imposition of tariffs, trade controls and other trade barriers”

Service level commitments and credits

SLA failures can require service credits/refunds; past power shortfall caused credits

90%
Source evidence
“in the past, we have experienced, and we may in the future experience, insufficient power to service a customer's project, which instance was viewed as a performance issue, and have been required to provide service credits to that customer due to resulting performance issues.”

Material exposure graph

NVIDIA Corporation
Technology Dependency

All GPUs in CoreWeave's infrastructure are NVIDIA GPUs due to customer contract obligations, and a January 2026 collaboration framework expands the long-standing NVIDIA relationship.

Relevance 95·Dependency 95·Confidence 95
Source evidence
“For example, as a result of our obligations in our current customer contracts, all of the GPUs used in our infrastructure today are NVIDIA GPUs.”
AI model training and inference
Demand Driver

Demand for high-density compute for training and inference workloads drives need for CoreWeave's purpose-built infrastructure; fungibility across training and inference supports customer transitions.

Relevance 95·Dependency 90·Confidence 95
Source evidence
“Our low-latency data center footprint and integrated software platform support fungible use of infrastructure across training and inference workloads, enabling customers to transition capacity seamlessly as their workload requirements evolve.”
AI labs and enterprises
Customer Exposure

Leading AI labs and enterprises are the primary revenue channel via multi-year take-or-pay contracts; substantial revenue concentration in limited number of top customers.

Relevance 95·Dependency 90·Confidence 95
Source evidence
“We have strategically aligned with some of the world's leading AI labs and enterprises that are building the next generation of foundational models”
AI adoption
Demand Driver

Business growth depends on continued adoption of AI; training and inference demand expected to scale as AI commercializes.

Relevance 95·Dependency 85·Confidence 95
Source evidence
“The development and early adoption of AI models and the products built on top of them have contributed to our growth to date and our future success will depend in part on the continued adoption of AI.”
GPU / semiconductor components
Supplier Dependency

CoreWeave does not manufacture components and depends on a limited number of suppliers; top three suppliers represented 23%, 20%, 17% of FY2025 purchases.

Relevance 90·Dependency 90·Confidence 95
Source evidence
“We do not manufacture the components we use to build the technology infrastructure underlying our platform. We have a limited number of suppliers that we use to procure and configure significant components of the technology infrastructure”
AI infrastructure competition
Competitive Exposure

Intense competition from general-purpose and larger cloud competitors; larger competitors may cut prices or bundle offerings; technologies enabling competitors to deliver services at lower prices could hurt competitiveness.

Relevance 85·Dependency 75·Confidence 95
Source evidence
“Larger competitors with more diverse offerings may reduce the price of any offerings that compete with ours or may bundle them with other solutions and services that are not available to us.”
Interest rates / financing conditions
Revenue Exposure

CoreWeave's debt-financed infrastructure model makes its cost of capital and access to financing sensitive to interest rates and macro conditions.

Relevance 75·Dependency 70·Confidence 90
Source evidence
“we expect our cost of capital to continue declining as we benefit from economies of scale and increasingly are able to access lower cost forms of financing, including asset-backed securitizations and rated parent-level debt”
Chillers and HVAC liquid cooling systems
Supplier Dependency

Future success depends on access to chillers and HVAC systems for liquid cooling to maintain data center infrastructure.

Relevance 70·Dependency 70·Confidence 90
Source evidence
“Our future success also depends on our ability to access components such as chillers and HVAC systems for liquid cooling to maintain our data center infrastructure.”
Inflation
Cost Driver

Energy market inflation and broader inflationary pressures affect power costs and financial forecasting.

Relevance 70·Dependency 60·Confidence 90
Source evidence
“the global energy market is currently experiencing inflation and volatility pressures. Although we use power purchase agreements to hedge against the risk of some changes in the price of power, there is no guarantee that they will work as intended”
Tariffs and trade controls
Geopolitical Exposure

Trade policy changes including tariffs and trade controls, plus Middle East/Ukraine conflicts and China-Taiwan tensions, may increase costs and reduce access to capital.

Relevance 65·Dependency 50·Confidence 90
Source evidence
“changes in trade policies, including the imposition of tariffs, trade controls and other trade barriers”
Full company information
Latest profile, trading, valuation, and identifier data stored for CRWV.
Share price
$86.47
Market cap
$47.16B
Exchange
NASDAQ
Currency
USD
CEO
Michael N. Intrator
Employees
2,189
IPO date
28/03/2025
Beta
7.41
Last dividend
$0.00
Day range
$85.94 – $89.95
52-week range
$60.55 – $153.20
1-day performance
-0.49%
1-year performance
42.81%
Current drawdown (1Y)
-43.56%
CIK
0001769628
CUSIP
21873S108
ISIN
US21873S1087
Created
07/12/2025, 03:27:44
Last update
24/09/2026, 17:43:33

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