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    CRWV
    Earnings call· Mar 2026(Q1 FY26)

    CoreWeave Q1 FY26 earnings call CRWV

    May 7, 2026 Source

    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

    16
    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

    2
    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

    Operational metrics

    16
    Revenue growth
    +112% YoY, +32% QoQYoY and QoQ
    Q1 FY26

    Revenue was approximately $2.1 billion; $2.1B also cited by CFO.

    Adjusted EBITDA
    $1.2 billion+91% YoY vs $606 million in Q1 2025
    Q1 FY26

    Non-GAAP. Grew 91% year-over-year.

    Adjusted operating income
    $21 millionvs $163 million in Q1 2025; just above midpoint of guidance
    Q1 FY26

    Non-GAAP. Q1 is the trough; expansion expected through the year to low double digits by Q4.

    Adjusted net loss
    $589 millionvs $150 million adjusted net loss in Q1 2025
    Q1 FY26

    Non-GAAP. GAAP net loss was $740 million vs $315 million a year ago.

    Stock-based compensation expense
    $153 million
    Q1 FY26

    Part of Q1 operating expenses of $2.2 billion.

    Contribution margin (normalized)
    mid-20s%vs negative during 1-2 month fit-out phase
    at month 3 of deployment ramp

    New deployments run negative contribution margin during fit-out, normalizing to mid-20s by month 3; unit target margins also mid-20s.

    Weighted average cost of debt reduction
    ~80 bps compressed YTDon top of ~600 bps reduction from 2023 to 2025
    year-to-date 2026

    DDTL 4.0 was the first investment-grade HPC-backed facility; goal is to drive cost of debt to investment grade.

    Capital secured year-to-date
    more than $20 billion
    year-to-date 2026

    All raises meaningfully oversubscribed; convertible and high-yield offerings upsized; no debt maturities until 2029 outside self-amortizing/vendor financing.

    Active power
    more than 1 gigawattnearly tripled since start of 2025
    as of Q1 FY26

    Surpassed 1 GW of active power; on track for >1.7 GW by end 2026.

    Contracted power added
    more than 400 megawattsvs 200 MW added in Q4 2025; 2 GW added over trailing 12 months
    Q1 FY26

    Substantial majority of contracted power expected online by end 2027.

    Inference share of compute
    materially in excess of 50%
    Q1 FY26

    Signals customers are monetizing their compute; bullish demand indicator.

    GPU average pricing
    increased QoQ across A100, H100, H200, L40sQoQ increase
    Q1 FY26

    Rising prices as inference demand compounds across GPU generations; allocation beginning for 2027 capacity.

    Product cross-adoption
    >90% of reserved-instance customers use 2+ products; >75% use 3+
    Q1 FY26

    Evidence of integrated-platform adoption beyond GPUs.

    Data center footprint
    close to 50 data centers
    Q1 FY26

    Diversified supply base across multiple OEMs and ODMs supports resilient execution.

    Weighted average contract length (new capacity)
    approximately 5 yearsremaining at ~5 years
    Q1 FY26

    Customers committing foundational AI workloads long-term.

    Cash, equivalents, restricted cash and marketable securities
    more than $3.3 billion
    as of March 31, 2026

    Liquidity position; management notes capital raised is tied to customer demand.

    Industry KPIs

    10
    MetricValueDetails
    Infra economicsMore than 1 GW active power; more than 3.5 GW contracted powerGW
    Rpo current rpo$99.4 billion revenue backlogUSD
    Rule of 40 marginsAdjusted EBITDA margin 56%; adjusted operating margin 1%%
    Customer logo metricsNew customers: Anthropic, Meta ($21B agreement), Hudson River Trading, World Labs, Physics X, Sunday Robotics, Perplexity
    Large customer cohorts10 customers committed to spending at least $1 billion each with CoreWeavecount
    Software recurring arrSoftware, CPU and networking each expected to exceed $100 million of ARR by end of yearUSD ARR
    Bookings tcv book to billmore than $40 billion of new commitmentsUSD
    Consumption revenue growthAverage pricing increased QoQ across A100, H100, H200 and L40sdirectional
    Sales capacity productivityIncreased investment in go-to-market organization
    Ai agentic channel product adoptionMaterially in excess of 50% of compute used for inference%

    Orderbook & backlog

    5
    Total contracted revenue backlog$99.4 billion2026-03-31

    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 backlogapproaching $10 billion2026-03-31

    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 contributionsurpassed $1 billion2026-03-31

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

    Total contracted powermore than 3.5 gigawatts2026-03-31

    +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 contractedmore than 75% of >$30 billion target2026-03-31

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

    Product announcements

    4
    ProductTypeDetails
    CoreWeave Trust Centerlaunch
    Flex reservation and spot pricinglaunch
    CoreWeave Interconnect (with Google Cloud)launch
    CoreWeave Omniroadmap

    Deals & partnerships

    9
    Anthropiccustomer contract

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

    Metacustomer contract$21 billion (agreement announced early April)

    Multiple new orders signed with Meta in the quarter.

    Jane Streetcustomer 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 Tradingcustomer contract

    New customer within the Financial Services vertical.

    World Labs, Physics X, Sunday Roboticscustomer contract

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

    Perplexitycustomer contract

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

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

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

    Google Cloudpartnership

    Collaboration on CoreWeave Interconnect cross-cloud connectivity.

    OpenAI and Coherefinancing (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

    3
    Self-build data center sitesunderway
    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)underwayFY2026 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 relationshipannounced
    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

    5
    Component-price inflation and acute component shortageslast 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 scalingQ1 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 complexityongoing

    Unquantified

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

    Q&A highlights

    6

    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 read6 chapters

    Detailed Narrative

    01

    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.

    02

    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.

    03

    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.

    04

    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.

    05

    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.

    06

    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.

    AI-generated summary of the company’s earnings call. Not investment advice.