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What you should know about this indicator

  • This indicator splits NVIDIA's quarterly revenue into two parts: its data centers and AI business, and everything else — gaming graphics cards, professional workstations, automotive chips, and chips and technology sold or licensed to other companies.
  • Figures are self-reported by NVIDIA in its quarterly financial disclosures, shown in US dollars, and not adjusted for inflation.
  • In April 2026, NVIDIA changed how it groups its market segments. Until then, it reported four separate non-data-center segments ("Gaming", "Professional Visualization", "Auto", and "OEM & Other"); from then on, it reports them as a single combined segment. We use the combined version throughout, summing the four older segments for earlier quarters so the time series stays consistent.
NVIDIA's quarterly revenue by market segment
NVIDIA
Quarterly revenue of NVIDIA Corporation across its main market segments, reported in US dollars. NVIDIA designs graphics processing units (GPUs), originally built for gaming and now also widely used to train and run AI models. This data is not adjusted for inflation.
Source
NVIDIA Corporation (2026) – with major processing by Our World in Data
Last updated
June 8, 2026
Next expected update
September 2026
Unit
US dollars

Sources and processing

This data is based on the following sources

NVIDIA Corporation – NVIDIA Quarterly Revenue by Market Segment

Quarterly revenue data for NVIDIA Corporation, broken down by market segment and reported in millions of US dollars per fiscal quarter.

NVIDIA's fiscal year is a 52/53-week period ending on the last Sunday in January. Each fiscal quarter is named after the fiscal year in which it ends, so fiscal year 2026 covers ~Feb 2025 to Jan 2026, and its quarters end on the last Sunday of April, July, October, and January respectively.

Retrieved on
June 8, 2026
Retrieved from
https://investor.nvidia.com/financial-info/financial-reports/default.aspx
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
NVIDIA Corporation - Quarterly Revenue Trends by Market Platform (2014-2026)

Quarterly revenue data for NVIDIA Corporation, broken down by market segment and reported in millions of US dollars per fiscal quarter.

NVIDIA's fiscal year is a 52/53-week period ending on the last Sunday in January. Each fiscal quarter is named after the fiscal year in which it ends, so fiscal year 2026 covers ~Feb 2025 to Jan 2026, and its quarters end on the last Sunday of April, July, October, and January respectively.

Retrieved on
June 8, 2026
Retrieved from
https://investor.nvidia.com/financial-info/financial-reports/default.aspx
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
NVIDIA Corporation - Quarterly Revenue Trends by Market Platform (2014-2026)

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

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Notes on our processing step for this indicator

NVIDIA publishes its quarterly revenue split by market segment. We combine all of its historical disclosures (covering fiscal years 2016 through 2027) into a single time series with two main categories — "Data centers and AI" and "Gaming, devices, automotive" — alongside the overall total.

In the first quarter of fiscal 2027 (the quarter ending April 26, 2026), NVIDIA changed the structure of these disclosures. Until Q4 FY26 (the quarter ending January 25, 2026), NVIDIA reported five market segments: "Data Center", "Gaming", "Professional Visualization", "Auto", and "OEM & Other". From Q1 FY27 onward, it reports just two segments — "Data Center" (further broken down into "Hyperscale" and "AI Clouds, Industrial & Enterprise") and "Edge Computing". Reconciling the eight quarters that appear in both presentations confirms that NVIDIA's new "Edge Computing" segment equals the sum of the previous categories labeled as "Gaming", "Professional Visualization", "Auto", and "OEM & Other".

To keep the time series consistent over the full period, we display data under two labels — "Data centers and AI" and "Gaming, devices, automotive". For quarters before Q1 FY27, the second bucket is the sum of NVIDIA's four older non-data-center segments ("Gaming", "Professional Visualization", "Auto", and "OEM & Other"). From Q1 FY27 onward, NVIDIA reports a single "Edge Computing" segment for everything outside data centers; we display this under the "Gaming, devices, automotive" label for continuity with the historical breakdown. Data center revenue is taken as reported in both presentations.

Each data point is dated by NVIDIA's reported fiscal-quarter end — the last Sunday of April, July, October, or January (for example, Q4 FY26 is dated January 25, 2026).

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  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
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Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: NVIDIA's quarterly revenue by market segment”, part of the following publication: Charlie Giattino, Edouard Mathieu, Veronika Samborska, and Max Roser (2023) - “Artificial Intelligence”. Data adapted from NVIDIA Corporation. Retrieved from https://archive.ourworldindata.org/20260611-072247/grapher/nvidia-quarterly-revenue-segment.html [online resource] (archived on June 11, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

NVIDIA Corporation (2026) – with major processing by Our World in Data

Full citation

NVIDIA Corporation (2026) – with major processing by Our World in Data. “NVIDIA's quarterly revenue by market segment – NVIDIA” [dataset]. NVIDIA Corporation, “NVIDIA Quarterly Revenue by Market Segment” [original data]. Retrieved June 14, 2026 from https://archive.ourworldindata.org/20260611-072247/grapher/nvidia-quarterly-revenue-segment.html (archived on June 11, 2026).

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Data URL (CSV format)
https://pages.owid.io/grapher/nvidia-quarterly-revenue-segment.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://pages.owid.io/grapher/nvidia-quarterly-revenue-segment.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://pages.owid.io/grapher/nvidia-quarterly-revenue-segment.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://pages.owid.io/grapher/nvidia-quarterly-revenue-segment.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://pages.owid.io/grapher/nvidia-quarterly-revenue-segment.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://pages.owid.io/grapher/nvidia-quarterly-revenue-segment.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://pages.owid.io/grapher/nvidia-quarterly-revenue-segment.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://pages.owid.io/grapher/nvidia-quarterly-revenue-segment.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear