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META free cashflow last year : $20bn. Cash on Hand: $47bn. "Worrying" Debt: $15bn sought. ORCL, the other company they're talking about: $20bn in Cash from Ope
by vessenes 1y ago
META free cashflow last year : $20bn. Cash on Hand: $47bn. "Worrying" Debt: $15bn sought.
ORCL, the other company they're talking about: $20bn in Cash from Operations, $21bn in capital expenditures, ORCL Cash on Hand: $11bn. ORCL's recent debt flotation: $18bn.
ORCL has 40 years to pay back; demand was reportedly $88bn for the offering. I imagine pricing was close to T-bills.
These flotations posit that demand for compute will continue to increase over the next 40 years, and that infra providers who can get there early will do better than Treasuries.
Calling it a bubble just because the numbers are big is the weakest of financial journalism. Now, do you think inference and datacenter demand will drop? If so, it's worth asking if and when these datacenter will pay, and if they don't, who will take the hit. That would be useful analysis.
I'm pro these plays -- right now inference has an 80% margin; that's after paying the fully capitalized costs of datacenters + compute + the datacenter margin. To the extent a company controls its own inference stack and can do so with a 5% cost of capital, they should do it.
- vslira 1y ago> Calling it a bubble just because the numbers are big is the weakest of financial journalism Yeah, exactly. The current AI investment wave could be a bubble. Or not. If anyone knows, there are millions to be made in the stock market. The answer depends on the actual expectations for those investments and how actual business metrics are tracking them. But pointing to ambiguous “evidence” just adds noise. If someone screams fire in a movie theater journalist should report if there’s a fire or at least smoke, not write articles showing concern about how flammable all the furniture is
- latchkey 1y ago> right now inference has an 80% margin I'm curious about this. Source?