CoreWeave might be the funniest public company in America.
Q2:
- Revenue: $2.6B
- Revenue growth: +112% YoY
- Backlog: \~$104B
- Extra commitments signed just after quarter-end: >$25B
- Capex: \~$9.4B
- Net loss: -$626M
- Interest expense: \~$640M
- Active power: 1.5 GW
- 2026 capex guidance: $35–39B
Read those numbers again.
They did $2.6B of revenue and spent $9.4B building more shit.
Their quarterly interest bill is basically the size of their entire net loss.
This is either:
A) one of the greatest financial engineering disasters of the AI boom,
or
B) what happens when you lever up as hard as humanly possible to acquire the scarcest productive asset in the economy before everyone realizes how valuable it is.
I think the market is still trying to figure out which one.
The actual bull case isn't “AI is growing”
Everyone knows AI demand is growing.
That isn't interesting.
The interesting question is:
What if compute itself becomes a scarce industrial asset with persistent residual value?
Think about how AI customers actually make purchasing decisions.
If one frontier lab can generate $30M of economic value from another MW of compute, and some boring enterprise workload generates $5M, the lab can rationally pay much more.
Compute becomes an auction.
The bidder generating the most economic value from intelligence wins.
And if frontier AI keeps improving, the highest-value users may be able to keep paying absurd prices for GPUs, networking, power and functioning datacenter capacity.
That is what CoreWeave is levering itself into.
Not GPUs.
Scarcity.
The really weird part: lenders may be starting to believe this too
This is what caught my attention.
CoreWeave recently financed infrastructure with debt lasting roughly 5 years, while the customer contracts supporting that infrastructure average roughly 3 years.
Meaning the debt survives beyond the original customer contract.
Why does that matter?
Because now the lender is implicitly saying:
CoreWeave can potentially re-lease the same infrastructure.
That's a different business from:
“Microsoft promised to pay us for five years, so here's a loan.”
It starts looking more like:
“This compute asset itself has future earning power.”
Obviously GPUs are not apartment buildings.
An apartment doesn't become obsolete because Jensen Huang walks onstage wearing a leather jacket.
But if lenders increasingly finance AI infrastructure based on future re-leasing value, CoreWeave's cost of capital can drop.
And then the flywheel gets stupid:
Scarce compute → huge contracts → cheaper financing → more compute → more contracts → cheaper financing
Until, naturally, something breaks.
Why doesn't Meta just build all this shit themselves?
Good question.
They are.
So is everyone else.
But time has value.
If CoreWeave can deliver frontier compute six months earlier than someone else, and those six months let OpenAI / Meta / whoever train or serve a meaningfully better model, that capacity can be worth vastly more than the hardware cost.
In a normal industry, six months is annoying.
In an exponential capability race, six months can be the difference between owning a market and chasing one.
CoreWeave's actual moat isn't “we bought NVIDIA chips.”
A monkey with $10B can buy chips.
The moat, if there is one, is:
- power
- sites
- networking
- deployment speed
- cluster engineering
- financing
- customer relationships
- software/orchestration
All assembled fast enough that customers pay for immediacy.
Now the giant fucking problem
Interest expense.
Q2 interest expense: \~$640M.
Adjusted operating income: only \~$128M.
Read that relationship carefully.
The business can post beautiful EBITDA margins while the common shareholder still gets punched in the face because:
- GPUs depreciate.
- Debt costs actual money.
- New capacity requires mountains of fresh capi