CoreWeave Posts $2.58B Q2 Revenue and $104B AI Backlog
On August 11, 2026, CoreWeave reported second-quarter 2026 results: about $2.58 billion in revenue (roughly +112% year over year), a contracted revenue backlog of $104.2 billion (+246% YoY), and continued heavy interest costs as the pure-play AI cloud scales GPU capacity for frontier labs and enterprises.
TLDR
CoreWeave on August 11, 2026 reported Q2 2026 results that double as a demand census for rented AI compute. Revenue reached roughly $2.58 billion (about +112% year over year from $1.21 billion). Contracted revenue backlog hit $104.2 billion as of June 30, 2026 (+246% YoY from ~$30.1 billion), with a larger share of contracts extending beyond 48 months. Net losses remained large (on the order of **$626 million** for the quarter in contemporaneous coverage) as interest expense from debt-funded expansion climbed—even as adjusted EBITDA margins stayed high (~59% on ~$1.51 billion adjusted EBITDA in company materials). Shares jumped after hours on the print.
Key figures
| Metric | Q2 2026 (company / wire consensus) |
|---|---|
| Revenue | ~$2.58B (+112% YoY; slight beat vs ~$2.56B street) |
| Revenue backlog | $104.2B contracted (+246% YoY) |
| Backlog mix | Longer-dated contracts growing (share >48 months rising into the ~20% range) |
| Adj. EBITDA | ~$1.51B · ~59% margin (company materials) |
| Net loss | ~$626M (widened YoY on interest / scale) |
| EPS | Loss ~$1.14 vs street loss ~$1.41 (beat on loss) |
| Customer color | Period included large Meta / Anthropic / other AI cloud commitments referenced in earnings coverage |
CoreWeave is the public neocloud bellwether: GPU clusters as a service for labs that will not wait for hyperscaler lead times.
Product-line placement
Financing / infra earnings day—not a model GA. Equal-strength beside NVIDIA’s $500B financing platforms (Aug 10): one side sells chips and structures credit; the other reports how fast rented GPUs convert to backlog.
Why this story matters
A $100B+ backlog is both a demand signal and a delivery risk. If CoreWeave (and peers) cannot energize sites and rack GPUs on schedule, frontier training slips. Watch: interest coverage as rates and leverage stack; customer concentration; competition from SpaceX excess compute and any Meta-owned cloud path; and whether backlog duration keeps lengthening.