r/valueinvesting
Before you underwrite NBIS to $800, ask where the power comes from
The author argues NBIS's $800 valuation ignores the physical bottleneck of power and grid interconnection, delaying GPU monetization.
- Valuation models ignore the physical bottleneck of power and grid interconnection between booked and deliverable GPU capacity.
- Delays in substation energization will push revenue into a worse pricing environment as delayed capacity from competitors comes online simultaneously.
- Power and interconnection status act as leading indicators, signaling potential revenue misses before they appear on the income statement.
Every $800 target on Nebius is built the same way. Take booked GPU capacity. Multiply by an assumed utilization and price-per-GPU-hour. Grow it on a hyperscaler curve. Slap a multiple on it.
The model is clean. That's the problem. It's clean because it skips the hard part.
I'm not calling it a short. I run a constraint-signal framework for my own research — find the physical bottleneck a thesis depends on before I touch the revenue line. On NBIS the bottleneck isn't demand. It isn't even chips. It's the gap between booked capacity and deliverable capacity, and almost nobody is pricing it.
What the models skip
A neocloud revenue model treats booked capacity like it converts to revenue on a smooth ramp. It doesn't. The conversion runs through a chain none of the DCF inputs capture:
secured power → energized substation → interconnection queue position → commissioned hall → racked and burned-in GPUs → billable hours.
Every link is a real-world queue with its own lead time. And the binding constraint across the entire AI buildout right now is the front of that chain — power and grid interconnection — not the back.
That kills the linearity the bulls assume. If your $800 case needs capacity online late 2026 to hit the revenue it's discounting, and energization slips two or three quarters — which is the base case for new large loads in most relevant markets, not the bear case — the revenue doesn't show up late at the same NPV. It shows up late and into a worse pricing environment, because everyone else's delayed capacity lands at the same time.
Why this is a leading indicator, not just a risk factor
This is the part worth keeping regardless of what you think of the stock.
Power and interconnection status is observable before the revenue miss hits a print. Substation energization dates. Queue positions. The gap between announced MW and actually-contracted-and-energized MW. These move quarters ahead of the income statement.
So you don't wait for a guide-down to know the ramp is at risk. The bulls are watching booking announcements and treating them as supply signals. They're not. A signed contract tells you someone wants the compute. It tells you nothing about whether the megawatts to deliver it are energized.
One queue you can accelerate with capital. The other you can't. The grid doesn't care how focused your capex is.
What makes me wrong
Writing the falsifiers down so this doesn't turn into permabear cope:
- Energized, contracted power keeping pace with announced capacity — the MW gap closing, not widening
- Depreciation-adjusted margins holding as the fleet scales. Neocloud unit economics live or die on the depreciation schedule against GPU useful life, and that's the other number the $800 models wave through
- Revenue ramp tracking energization dates, not booking dates
Those hold, the bull case is real and I'll say so.
The claim
NBIS isn't worth zero. Demand's real, the focus is real. But an $800 target underwritten off booked capacity and a hyperscaler growth curve is pricing a delivery timeline the physical constraints don't support — and the tell shows up in power and interconnection data before it shows up in revenue.
If you're long, that's what I'd track. Not the next contract headline.
Where's the hole in it? Especially want to hear from anyone closer to the power/datacenter side than me.
I remember when this sub was saying NBIS was overpriced at $100. Imagine sitting out on the bull run while holding ADBE bags LOL.
I’m telling you this sub is more regarded than wsb
If you don’t mention PayPal, adobe, Microsoft, Lulu, or novo this sub automatically thinks it’s a bad investment
Don't repost chatbot garbage
Somewhat comical that “this may not do another near 3X soon” is seen as a bearish view.
Bag holder found LOL
Yeah definitely zero other possibilities… you can’t lose
The thing putting the em dashes throughout your post and comments.
I mean for a reason no? Nbis made me 50k usd this year
Add NOVO, they love NOVO as well
Let me know what other crumbs you find in the mariana trench 😂 You should join Compounding Quality on substack, Peter would love to have you
When you have to rent someone else' allocation to fulfill your own obligations, you've erred.
NIMBY is not priced. Birmingham as an example. Failure to develope that site cost 10's of millions and it was never priced.
The stock was over run by an index squeeze. Inclusion into the N100 forced fund buying to fill allocations, into the teeth of a 21% short interest. From date of announcement to end of allocation the stock squeezed up over $100 a share.
Nothing to do with fundamentals at all.
100%. Index squeeze, not fundamentals — inclusion forced the buying into a 20%+ short and the thing ran. Nothing to do with the business. People keep pointing at the price like it proves something. It doesn't.
Renting allocation to hit your own numbers = the constraint already won. You rented around it, you didn't beat it.
NIMBY's the killer nobody models. You can watch a queue. You can't see a site dying until it's dead. Birmingham, exactly.
I know exactly what they are. Full-stack, inference layer, equity stakes in the ecosystem — none of that is news, and none of it touches the argument.
Vertical integration is the opposite of an out. The more of the stack they own — the inference layer, the buildout, the equity positions — the more their revenue ramp is hostage to physical capacity coming online. A pure reseller can rent someone else's energized GPUs. A full-stack operator eats the entire chain: power, substation, interconnection queue, commissioning. You just described a company with more exposure to the constraint I'm pointing at, not less.
And the inference point cuts the same way. Inference is throughput-bound and the throughput is bound by energized capacity. Tokens per second don't exist until the megawatts do.
Not mistaking it for IREN. But funny you raise them — IREN is a power-footprint company that pivoted into compute. If your instinct is to reach for the most energy-defined name in the space to wave off an energy-constraint argument, that's telling.
So, concretely: what's the revenue the $800 target discounts over the next 24 months, and what's the energized-capacity path that delivers it? That's the actual question. “They do more than rent GPUs” isn't an answer to it.
You lost me at paraphrasing IREN being power-footprint instead of crypto-mining company.
And yes, them doing more than the physical layer absolutely contributes to their moat, and for sure it brings a higher risk.