←2026-08-12 · Herbert Simon
Analysis
On August 12 (Eastern Time), NBIS is set to report earnings. Before the market opens, we highlight a major Goldman Sachs research report on NBIS.
Goldman Sachs firmly maintains a Buy rating with a 12-month price target of $286. Against the current share price of $190, this implies a clear 50%+ upside.
While many focus solely on the rating and the price target, they miss the true re-rating logic embedded in this report.
Stripping away the noise, the single most important takeaway from this report:
The critical debate for NBIS today is no longer whether AI compute demand is sufficient — it is whether compute supply can keep pace with exploding demand.
This is a qualitative shift, and precisely the inflection point the market is most likely to overlook.
Traditional cloud and compute providers operate on a reactive model: hunt for clients, negotiate deals, compete on price, manage margins — demand is inherently uncertain, and earnings are highly volatile.
NBIS today operates on an entirely different logic — supply-constrained, strong-seller dynamics:
Surging AI compute demand → existing capacity fully sold out → unopposed price increases → customers proactively lock in capacity and prepay → the company accelerates data center build-out and capacity expansion.
Goldman Sachs explicitly corroborates the shift: as early as 1Q26, NBIS flagged extreme demand for AI infrastructure. Even after raising prices, capacity remains fully sold out, with demand consistently outstripping supply.
Supply-demand imbalance + sustained price increases + long-term contract lock-ins + customer prepayments: four reinforcing structural advantages. This means NBIS has decisively moved beyond the commoditized “GPU-hours” model and transformed into an AI infrastructure platform with genuine pricing power and high earnings visibility.
The key Street debate right now: in an environment of extreme demand, can NBIS break through prior guidance and raise its full-year revenue outlook once again?
The company previously provided 2026 revenue guidance of $3.0B–$3.4B.
Consensus (Visible Alpha) stands at $3.36B, already close to the upper end of guidance.
But Goldman’s core focus goes well beyond “fast growth.” It’s a comprehensive upgrade of the business model. Three critical changes directly raise the revenue ceiling:
The combination of these three is not simply about faster growth — it is a full-scale upgrade of revenue quality, cash flow, and earnings visibility, and serves as the core underpinning for subsequent multiple re-rating.
The vast majority of retail investors fixate solely on reported revenue in any given period. However, for growth stocks in the AI compute infrastructure sector, revenue is merely a lagging result; the locked-in future capacity is the core competitive advantage.
The four critical indicators that demand rigorous tracking are: contracted compute capacity, customer prepayments, order backlog, and annualized contract revenue (ARR).
Breaking down the logic:
The benefits arising from this structural shift are evident:
This is precisely the core reason why Goldman Sachs has repeatedly emphasized that NBIS will achieve a qualitative leap in contract quality in 2026.
Many assume Goldman’s bullish stance is simply a bet on the upcoming earnings beat. That is not the case. The core thesis of the report is that NBIS is entering an AI compute super-growth cycle.
Here are Goldman’s core revenue estimates:
2025: $529.8M 2026E: $3.586B (above the company’s prior guidance ceiling) 2027E: $13.711B 2028E: $24.472B
A simple key calculation: 2027 revenue implies nearly 3.82x growth over 2026.
This is no longer ordinary high growth—it is top-tier hyper-growth in the AI infrastructure space.
Therefore, the upcoming August 12 earnings report delivering a quarterly revenue and profit beat is merely a minor positive.
The real catalyst that can drive a valuation re-rating and a sustained bull trend is whether the earnings validate the hyper-growth thesis: 2027 ARR, contracted compute capacity, and backlog continuing to trend upward—confirming that the super-growth logic is being realized.
This is the most prevalent market concern and the core reason many funds are reluctant to take concentrated positions:
With Meta aggressively building out its own cloud business, on top of Google, Microsoft, Amazon and other tech giants constructing their own AI infrastructure, does a third-party computing platform like NeoCloud still have room to survive?
Goldman Sachs specifically addressed this key divergence in its report, which is also a hidden core highlight of this research.
A common misconception: the core competitive advantage of a compute company is its GPU resources.
But Goldman Sachs explicitly points out: NBIS has long moved beyond the model of pure “bare-metal GPU capacity” leasing.
The company’s true core barrier is its Full-stack AI Platform:
Compute + Storage Services + Intelligent Orchestration and Scheduling + Full AI Infrastructure + Dedicated Engineering Support, all in one-stop coverage.
Combined with the company’s publicly disclosed core strengths, its moat is extremely solid:
The core need of AI companies has never been merely “to buy GPUs,” but to complete model training, iteration, and deployment quickly, stably, and efficiently.
GPUs are merely the hardware carrier; software orchestration + supporting services + integrated solutions are the true core for retaining customers and building a high-stickiness moat.
Key metrics to watch in earnings: order backlog, ARR data, prepayment scale, and FY2026–FY2027 guidance. These figures will directly determine the subsequent valuation ceiling.