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CoreWeave (CRWV) Q1 FY26 earnings call: guidance and Q&A

Earnings call· Mar 2026 (Q1 FY26)· Information Technology· May 7, 2026

Source: earnings call transcript

Executive summary

CoreWeave Q1 FY26 — Record $40B+ bookings drive backlog to nearly $100B as active power crosses 1 GW

CoreWeave is scaling faster than it can monetize, deliberately deploying power ahead of revenue so Q1 marks the margin trough before a second-half inflection. The thesis is demand durability — bookings vastly outrunning delivery, a diversifying enterprise customer base beyond AI labs, and a maturing financing engine driving cost of capital toward investment grade — set against rising component costs and a widening bottom line during the ramp.

Highlights

5
  • Signed more than $40 billion of new customer commitments, growing contracted revenue backlog to $99.4 billion, up nearly 50% sequentially and close to 4x year-over-year

  • Revenue of approximately $2.1 billion, up 112% year-over-year and 32% quarter-over-quarter

  • Adjusted EBITDA of $1.2 billion (56% margin), up 91% year-over-year from $606 million

  • Surpassed 1 gigawatt of active power and grew contracted power to more than 3.5 GW (+400 MW in Q1); now 10 customers committed to $1B+ each, including new customers Anthropic and a $21B Meta agreement

  • Closed the first-ever investment-grade (A- equivalent) HPC-backed debt facility — the $8.5B DDTL 4.0 priced at an implied cost below 6% — securing more than $20 billion of debt and equity year-to-date

Concerns

5
  • Net loss widened to $740 million from $315 million a year ago; adjusted net loss of $589 million vs $150 million in Q1 2025

  • Adjusted operating income fell to $21 million (1% margin) from $163 million a year ago — management calls Q1 the trough of the margin trajectory

  • Interest expense rose to $536 million from $264 million on a growing debt balance

  • Full-year CapEx guidance raised on the low end to $31-35 billion due to component-price inflation, pressuring the stock after hours

  • Acute shortages in certain components plus labor, memory and storage constraints remain the limiting factors on build-out pace

Guidance & targets

CategoryTargetConfidence
Full-year 2026 revenue
$12 billion to $13 billion
high materiality
High
Full-year 2026 adjusted operating income
$900 million to $1.1 billion
high materiality
High
Q2 2026 revenue
$2.45 billion to $2.6 billion
high materiality
High
Q2 2026 adjusted operating income
$30 million to $90 million
medium materiality
High
Q2 2026 interest expense
$650 million to $730 million
medium materiality
High
Q2 2026 capital expenditure
$7 billion to $9 billion
medium materiality
High
Full-year 2026 capital expenditure
$31 billion to $35 billion
high materiality
High
2026 exit annualized run-rate revenue
$18 billion to $19 billion
high materiality
High
2027 exit annualized run-rate revenue
more than $30 billion
high materiality
High
Active power capacity (end 2026)
more than 1.7 gigawatts
high materiality
High
Active power capacity (by 2030)
more than 8 gigawatts
high materiality
Medium
Contracted power online timing
substantial majority online by end of 2027
high materiality
High
Exit-2026 adjusted operating income margin
low double digits by Q4
high materiality
High
Software, CPU and networking ARR (each)
exceed $100 million of ARR by end of year
medium materiality
Medium
First self-build data center site
online later this year
medium materiality
Medium
Effective tax rate
broadly consistent over 2026
low materiality
Medium

Segment performance

SegmentRevenueYoYQoQMargin
Financial Services vertical
Technology-driven enterprise firms (not AI labs) scaling core machine-learning workloads; already a $1B+ scale vertical approaching $10B in revenue backlog.
Revenue backlog contribution: approaching $10 billionJane Street capacity added in Q1: $6 billionNew customer: Hudson River Trading
————
Physical AI and spatial computing vertical
World models, robotics, autonomous driving and scientific discovery customers; chosen for performance, specialized infrastructure and developer tools.
Revenue backlog contribution: surpassed $1 billionNew customers: World Labs, Physics X, Sunday Robotics
————

CRWV operating KPIs by quarter

CRWV operating KPIs stated on its earnings calls, by fiscal quarter
KPI Mar 2025 Q1 FY25 Jun 2025 Q2 FY25 Sep 2025 Q3 FY25 Dec 2025 Q4 FY25This call Mar 2026 Q1 FY26 Jun 2026 Q2 FY26Change vs prior quarter
Data centers
33 Today, we benefit from a network of 33 purpose-built AI data centers across the US and Europe, supported by 420 megawatts of active power. Source: earnings call transcript
——
43 We ended the year with more than 850 megawatts of active power, adding approximately 260 megawatts in the fourth quarter alone across 43 active data centers, up from 32 at the start of the year. Source: earnings call transcript
<50 We have navigated this complexity across close to 50 data centers, consistently delivering best-in-class dock to live times for customers. Source: earnings call transcript
——
Active power
420 MW Today, we benefit from a network of 33 purpose-built AI data centers across the US and Europe, supported by 420 megawatts of active power. Source: earnings call transcript
<470 MW To that end, we ended the quarter with nearly 470 megawatts of active power, and we increased total contracted power approximately 600 megawatts to 2.2 gigawatts. Source: earnings call transcript
~590 MW We expanded our active power footprint by 120 megawatts sequentially to approximately 590 megawatts, while growing our contracted power capacity over 600 megawatts to 2.9 gigawatts. Source: earnings call transcript
————
Total contracted power
~1.6 GW Our total contracted power extends to approximately 1.6 gigawatts, providing us with a durable multiyear runway in power capacity. Source: earnings call transcript
2.2 GW To that end, we ended the quarter with nearly 470 megawatts of active power, and we increased total contracted power approximately 600 megawatts to 2.2 gigawatts. Source: earnings call transcript
2.9 GW We expanded our active power footprint by 120 megawatts sequentially to approximately 590 megawatts, while growing our contracted power capacity over 600 megawatts to 2.9 gigawatts. Source: earnings call transcript
3.1 GW+ We contracted close to 2 gigawatts of additional power in 2025, ending the year with more than 3.1 gigawatts of contracted capacity, virtually all of which we expect to come online by the end of 2027. Source: earnings call transcript
3.5 GW+ Three, we have reached hyperscale with more than 3.5 gigawatts of contracted power, up more than 400 megawatts this quarter alone, with the substantial majority expected to be online by the end of 2027. Source: earnings call transcript
3.7 GW Contracted power grew to 3.7 gigawatts in Q2, and since quarter end, we have added roughly 500 megawatts, bringing contracted power to 4.2 gigawatts as of today. Source: earnings call transcript
—
Incremental contracted power
~300 MW In Q1, we added approximately 300 megawatts of incremental contracted power to our portfolio. Source: earnings call transcript
~600 MW To that end, we ended the quarter with nearly 470 megawatts of active power, and we increased total contracted power approximately 600 megawatts to 2.2 gigawatts. Source: earnings call transcript
——
400 MW+ Three, we have reached hyperscale with more than 3.5 gigawatts of contracted power, up more than 400 megawatts this quarter alone, with the substantial majority expected to be online by the end of 2027. Source: earnings call transcript
——
Active power ————
1 GW+ We generated approximately $2.1 billion of revenue, up 32% quarter-over-quarter and 112% year-over-year, and surpassed 1 gigawatt of active power. Source: earnings call transcript
1.5 GW We continue to execute on our power strategy, reaching 1.5 gigawatts of active power, adding nearly 500 megawatts, more than any quarter in our history and more than tripling year-over-year. Source: earnings call transcript
—

Operating figures the company stated on at least two of the calls shown, checked against each call's transcript. Click a figure to read the sentence. A dash means it was not stated that quarter.

Orderbook & backlog

Total contracted revenue backlog $99.4 billion 2026-03-31

up nearly 50% sequentially; close to 4x year-over-year

36% expected recognized in next 24 months; 75% in next 4 years. Non-investment-grade AI-native + foundation labs <30% of backlog. Weighted average contract length ~5 years. More than $40B of new commitments signed in Q1.

Financial Services vertical revenue backlog approaching $10 billion 2026-03-31

Jane Street added $6 billion of capacity in Q1

Enterprise (non-AI-lab) machine-learning workloads; new customer Hudson River Trading.

Physical AI and spatial computing revenue backlog contribution surpassed $1 billion 2026-03-31

World models, robotics, autonomous driving, scientific discovery; customers World Labs, Physics X, Sunday Robotics.

Total contracted power more than 3.5 gigawatts 2026-03-31

+400 MW in Q1; +2 GW over trailing 12 months

Substantial majority expected online by end 2027; sufficient power already secured to deliver 2027 ARR target.

2027 exit annualized run-rate revenue already contracted more than 75% of >$30 billion target 2026-03-31

Excludes any benefit from not-yet-exercised customer renewals.

Product announcements

ProductTypeDetails
CoreWeave Trust Centerlaunch
Flex reservation and spot pricinglaunch
CoreWeave Interconnect (with Google Cloud)launch
CoreWeave Omniroadmap

Deals & partnerships

Anthropic customer contract

Added as a customer in Q1; one of the world's four preeminent AI model developers now on CoreWeave.

Meta customer contract $21 billion (agreement announced early April)

Multiple new orders signed with Meta in the quarter.

Jane Street customer contract + strategic investment $6 billion of capacity added in Q1; $1 billion strategic investment (Q2)

Existing partner expanding commitments; also made a $1B strategic investment received in Q2.

Hudson River Trading customer contract

New customer within the Financial Services vertical.

World Labs, Physics X, Sunday Robotics customer contract

Recent new customers in the physical AI and spatial computing vertical.

Perplexity customer contract

Will power next-generation inference workloads on CoreWeave, also leveraging Weights & Biases for training, fine-tuning and model management.

NVIDIA strategic relationship / partnership $2 billion equity raised in connection with expanded relationship

Expanded relationship; continued evaluation of opportunities to accelerate footprint expansion together.

Google Cloud partnership

Collaboration on CoreWeave Interconnect cross-cloud connectivity.

OpenAI and Cohere financing (customer-contract-backed) Fifth DDTL facility (first syndicated in public loan markets)

DDTL 5.0 finances contracts with OpenAI and Cohere; significant investor appetite.

Capital programs

Self-build data center sites underway
Start: development underway

Benefit:Greater operational control and long-term financial upside vs leases

Complements lease strategy; 'We expect our first self-build site to come online later this year.'

Active power build-out to >1.7 GW (2026) / >8 GW (2030) underway FY2026 CapEx $31-35 billion (guide)
Period spend: $6.8 billion CapEx in Q1 2026
Spent to date: $6.8B in Q1; construction-in-progress roughly unchanged sequentially (not yet in service/depreciated)
Funding: Delayed-draw term facilities (capital drawn only as data centers operationalize), debt and equity
Start: ongoing

Benefit:Surpassed 1 GW active power; targeting >1.7 GW (2026) and >8 GW (2030)

Each build-out has 5 phases (power, cooling, networking, servers, software orchestration) across ~50 data centers; large majority of term debt is delayed-draw, matching capital to operationalization.

NVIDIA 5 gigawatt infrastructure relationship announced
Period spend: $2 billion equity raised in Q1 tied to expanded NVIDIA relationship
Funding: Equity (NVIDIA-related), plus strategic relationship
Start: expanded in Q1 2026

Benefit:Up to 5 GW of infrastructure; optionality to opportunistically accelerate footprint within >8 GW 2030 target

NVIDIA also qualified CoreWeave's software as a reference architecture; CoreWeave stresses it can secure infrastructure at scale independent of NVIDIA (2 GW in trailing 12 months).

Risks & headwinds

Component-price inflation and acute component shortages last 6-9 months, ongoing

Raised full-year 2026 CapEx low end to $31-35 billion range

Mitigation:Success-based pricing with purchase orders in hand passes component costs through to customers to protect targeted mid-20s unit contribution margins; P&L impact already incorporated in guidance.

Margin trough during rapid capacity ramp (deploy-ahead-of-revenue) Q1 2026 trough; expansion through H2

Adjusted operating income $21M / 1% margin in Q1, down from $163M; new deployments run negative contribution margin during 1-2 month fit-out

Mitigation:Contribution margins normalize to mid-20s by month 3; sequential margin expansion expected, inflection Q2-to-Q3, low double-digit exit margin by Q4.

Rising interest expense and widening net loss from debt-funded scaling Q1 2026 and rising into Q2

Interest expense $536M (vs $264M YoY); net loss $740M (vs $315M); Q2 interest expense guided $650-730M

Mitigation:Driving cost of capital toward investment grade (DDTL 4.0 <6%, A- rated; ~600 bps cut 2023-2025, ~80 bps YTD); no maturities until 2029 outside self-amortizing/vendor debt.

Supply-chain and non-power capacity constraints (labor, memory, storage) ongoing

Unquantified — described as the limiting factors alongside power on build-out pace

Mitigation:Orchestrating coordination across inputs; ~50 data centers with no single provider >17%, multiple OEMs/ODMs for resilience.

Global supply chain complexity ongoing

Unquantified

Mitigation:Operational discipline and strategic sourcing leveraging partner relationships; delayed-draw financing matches capital to deployment.

Q&A highlights

How does higher component pricing flow through contracts and affect profitability, and what changed in the NVIDIA relationship including the 5 GW within the 8 GW 2030 target?

Intrator said CoreWeave is a success-based company that prices contracts with purchase orders in hand, passing component and power costs through to target mid-20s unit contribution margins, insulating it from most input inflation. On NVIDIA, the two key developments were qualification of CoreWeave's software as an NVIDIA reference architecture and the 5 GW arrangement, which gives optionality to opportunistically accelerate securing infrastructure — CoreWeave secured 2 GW in the last 12 months and 400 MW in Q1 independently of NVIDIA. Agrawal added the P&L impact of component pricing is already incorporated in guidance.

“we are a success-based company, which means that we build our contracts to incorporate the cost of all of the components that are necessary to deliver infrastructure”

asked by Keith Weiss · answered by Michael Intrator

4 min read 6 chapters

Detailed narrative

Record bookings and backlog composition

CoreWeave signed more than $40 billion of new commitments in Q1 — described as its strongest booking quarter — lifting contracted revenue backlog to $99.4 billion, up nearly 50% sequentially and close to 4x year-over-year. The backlog is near-term weighted: 36% is expected to be recognized in the next 24 months and 75% within four years.

Most new commitments contribute toward 2027 targets and are expected to be highly contribution-margin positive, consistent with historically underwritten return profiles. Commitments from non-investment-grade AI-native companies and foundation labs now represent less than 30% of overall backlog, reflecting diversification, while the weighted average contract length for new capacity remains approximately five years.

Customer diversification into new verticals

The company added Anthropic and signed multiple new Meta orders including a $21 billion agreement announced in early April, stating the world's four preeminent AI model developers and nine of the ten AI leaders outside China now run on CoreWeave.

Financial Services has emerged as a $10 billion-approaching backlog vertical, driven by Jane Street adding $6 billion of capacity in Q1 and new customer Hudson River Trading. Physical AI and spatial computing surpassed $1 billion in backlog contributions with new customers World Labs, Physics X and Sunday Robotics.

CoreWeave now has 10 customers each committed to spending at least $1 billion.

Platform expansion beyond GPUs

More than 90% of reserved-instance customers use at least two CoreWeave products and more than 75% use three or more. Storage is multiplying quickly, and software, CPU and networking businesses are each expected to exceed $100 million of ARR by year-end.

New capabilities launched in Q1 include CoreWeave Trust Center for enterprise security/compliance, Flex reservation and spot pricing (both immediately oversubscribed), CoreWeave Interconnect in collaboration with Google Cloud, and CoreWeave Omni to deploy the full stack in customers' own data centers.

Perplexity will run next-generation inference on CoreWeave while using Weights & Biases for model training and management.

Capacity build-out and execution

CoreWeave surpassed 1 gigawatt of active power and grew total contracted power to more than 3.5 GW after adding over 400 MW in Q1 (versus 200 MW in Q4), all via long-term leases, with the substantial majority expected online by end of 2027.

The company operates across close to 50 data centers with no single data center provider delivering more than 17% of active infrastructure. It is on track for more than 1.7 GW of active power by end 2026 and targets more than 8 GW by 2030.

Alongside leases, CoreWeave is accelerating self-build sites (first online later this year) and evaluating its NVIDIA 5 GW relationship to opportunistically accelerate footprint.

Financing engine and cost of capital

CoreWeave closed the $8.5 billion DDTL 4.0 facility — the first-ever investment-grade (A- equivalent from Moody's, Fitch and DBRS) HPC-infrastructure-backed debt facility — priced at an implied cost below 6%, non-recourse to the parent, with an ABS-style draw feature unlocking an additional $1 billion upon contract stabilization.

It raised $2 billion of equity tied to the expanded NVIDIA relationship, and in Q2 secured more than $10 billion of additional debt and equity (convertible and high-yield offerings upsized), a $1 billion strategic investment from Jane Street, and priced a fifth DDTL facility (first syndicated in public loan markets) to finance OpenAI and Cohere contracts at 50 bps inside the initial marketing range — fully financing existing OpenAI commitments.

Total capital secured year-to-date exceeds $20 billion, and S&P moved the corporate outlook from stable to positive. Weighted average cost of debt has fallen ~600 bps from 2023 to 2025 and a further ~80 bps year-to-date, with no debt maturities until 2029 outside self-amortizing and vendor financing.

Margin trajectory and the timing dynamic

Adjusted operating income was $21 million (1% margin), described as the trough, versus $163 million a year ago, while adjusted EBITDA reached $1.2 billion (56% margin), up 91% year-over-year. Management framed the margin compression as timing-based, not economic: upon receiving a powered shell, CoreWeave incurs lease, power and depreciation costs during a 1-2 month fit-out with no revenue, running new deployments at negative contribution margin; by month three, deployments typically generate revenue with contribution margins normalizing to the mid-20s.

With active power nearly tripled since the start of 2025, management expects sequential margin expansion for the rest of the year, an inflection crossing Q2 to Q3, and a return to low-double-digit adjusted operating margin by Q4.

Summary of the company's earnings call; see how call summaries are prepared. Not investment advice.