NVIDIA's Q1 FY2027: Record Revenue, a Cautious Q2 Guide, and the Question of Deceleration
NVIDIA reported record revenue of $81.6 billion for the first quarter of fiscal 2027, up 85% from the same period a year earlier. Data Center revenue — the segment tied to the GPUs that power AI workloads — hit $75.2 billion, a 92% year-over-year increase. The figures were disclosed in a press release dated May 20, 2026 NVIDIA News.
The Data Center segment alone accounted for roughly 92% of total revenue, a ratio that has climbed as the largest cloud providers (often called hyperscalers — companies like Amazon, Microsoft, and Google that operate at massive scale) have concentrated spending on GPU compute. That 92% year-over-year growth rate in Data Center revenue is a deceleration from the triple-digit percentage gains NVIDIA posted in earlier fiscal 2026 quarters, though the absolute dollar growth — adding tens of billions in a single year — remains substantial.
For the second quarter of fiscal 2027, NVIDIA guided revenue to $91.0 billion, plus or minus 2%. That range spans approximately $89.2 billion to $92.8 billion, as stated in the Q1 FY2027 earnings release NVIDIA Investor Relations.
Analysts polled by LSEG had a more bullish expectation: consensus revenue of $92.17 billion and earnings per share (EPS — a company's profit divided by its outstanding shares) of $2.10 for Q2 FY2027 CNBC. The midpoint of NVIDIA's guide ($91.0 billion) sits approximately $1.17 billion below that Wall Street consensus, a gap of roughly 1.3%. In percentage terms, that is a narrow miss relative to the company's own revenue scale.
The Q1 results and Q2 outlook were first contextualized in NVIDIA's February 25, 2026 press release covering fourth-quarter and full fiscal 2026 results, which also discussed the forward quarter NVIDIA Investor Relations.
NVIDIA does not provide EPS guidance; its outlook is revenue-only, with the plus-or-minus 2% band. Analysts therefore derive implied operating leverage — how efficiently revenue growth translates into profit growth — and margin assumptions on their own, building in expectations for product mix, pricing, and supply costs across the GPU and networking portfolio.
Several factors are worth weighing for those watching the Q2 print. First, the implied sequential revenue growth from NVIDIA's Q1 actual ($81.6 billion) to its Q2 guidance midpoint ($91.0 billion) is approximately 11.5%. That is a meaningful step-up but a slower sequential acceleration than the company delivered in some prior quarters, consistent with the year-over-year growth-rate deceleration visible in the Data Center line. Second, the guide-versus-consensus gap, while narrow, lands at a moment when AI infrastructure spending cycles are under heightened analyst scrutiny; any softness relative to the $92.17 billion consensus will be read as a signal about hyperscaler spending durability, not merely a rounding error. Third, the Data Center concentration at 92% of total revenue means the segment's growth trajectory is effectively the company's growth trajectory. Diversification into other segments, while present, is immaterial to the revenue narrative at current scale.
The broader context here is one of optics and interpretation. NVIDIA's guidance has historically been treated as a conservative floor by the buy side — the institutional investors and analysts who follow the stock closely — and a guide below consensus, however modest, invites scrutiny about whether demand signals are softening at the margin or whether the company is simply managing expectations as it did through much of fiscal 2026. A guide below Wall Street's number, even by 1.3%, raises a question that a guide above it would not.
The $81.6 billion Q1 result and $91.0 billion Q2 guide, taken together, point to a fiscal 2027 run rate approaching $370 billion in annualized revenue by the end of the second quarter, assuming the guide holds. Whether the actual result exceeds the guide, as has frequently occurred, or lands closer to the midpoint, will shape the near-term narrative around demand sustainability and pricing power in GPU compute markets.
