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Largest AI Conglomerates Public Companies in the US

Benchmark revenue and EBITDA valuation multiples for public comps like NVIDIA, Alphabet, Microsoft, Amazon and Broadcom.

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United States
Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.
$225
+67%
$5.5T
$5.4T
25.0x
37.4x
United States
Alphabet is a holding company that wholly owns internet giant Google. The California-based company derives slightly less than 90% of its revenue from Google services, the vast majority of which is advertising sales. Alongside online ads, Google services houses sales stemming from Google’s subscription services (YouTube TV and YouTube Music, among others), platforms (sales and in-app purchases on Play Store), and devices (Chromebooks, Pixel smartphones, and smart home products such as Chromecast). Google’s cloud computing platform accounts for roughly 10% of Alphabet’s revenue. The firm’s investments in up-and-coming technologies such as self-driving cars (Waymo), health (Verily), and internet access (Google Fiber) make up the rest.
$395
+129%
$4.8T
$4.8T
11.8x
26.3x
United States
Microsoft develops and licenses consumer and enterprise software. It is known for its Windows operating systems and Office productivity suite. The company is organized into three equally sized broad segments: productivity and business processes (legacy Microsoft Office, cloud-based Office 365, Exchange, SharePoint, Skype, LinkedIn, Dynamics), intelligence cloud (infrastructure- and platform-as-a-service offerings Azure, Windows Server OS, SQL Server), and more personal computing (Windows Client, Xbox, Bing search, display advertising, and Surface laptops, tablets, and desktops).
$422
-8%
$3.1T
$3.1T
11.0x
19.2x
United States
Amazon is the leading online retailer and marketplace for third party sellers. Retail related revenue represents approximately 74% of total, followed by Amazon Web Services (17%), and advertising services (9%). International segments constitute 22% of Amazon's total revenue, led by Germany, the United Kingdom, and Japan.
$264
+29%
$2.8T
$2.9T
4.1x
17.4x
United States
Broadcom is one of the largest semiconductor companies in the world and has also expanded into infrastructure software. Its semiconductors primarily serve computing, wired connectivity, and wireless connectivity. It has a significant position in custom AI chips to train and run inference for large language models. It is primarily a fabless designer but holds some manufacturing in-house. In software, it sells virtualization, infrastructure, and security software to large enterprises, financial institutions, and governments. Broadcom is the product of consolidation. Its businesses are an amalgamation of former companies like legacy Broadcom and Avago Technologies in chips, as well as VMware, Brocade, CA Technologies, and Symantec in software.
$425
+76%
$2.0T
$2.1T
32.3x
48.0x
United States
Meta is the largest social media company in the world, boasting close to 4 billion monthly active users worldwide. The firm's "Family of Apps," its core business, consists of Facebook, Instagram, Messenger, and WhatsApp. End users can leverage these applications for a variety of different purposes, from keeping in touch with friends to following celebrities and running digital businesses for free. Meta packages customer data, gleaned from its application ecosystem and sells ads to digital advertisers. While the firm has been investing heavily in its Reality Labs business, it remains a very small part of Meta’s overall sales.
$614
-5%
$1.6T
$1.6T
7.8x
12.9x
United States
Advanced Micro Devices designs a variety of digital semiconductors for markets such as PCs, gaming consoles, data centers (including artificial intelligence), industrial, and automotive applications. AMD’s traditional strength was in central processing units and graphics processing units used in PCs and data centers. However, AMD is emerging as a prominent player in AI GPUs and related hardware. Additionally, the firm supplies the chips found in prominent game consoles such as the Sony PlayStation and Microsoft Xbox.
$424
+283%
$692B
$683B
19.7x
93.9x
United States
Oracle provides enterprise applications and infrastructure offerings through a variety of flexible IT deployment models, including on-premises, cloud-based, and hybrid. Founded in 1977, Oracle pioneered the first commercial SQL-based relational database management system, which is commonly used by the world’s largest companies for high-volume online transaction processing workloads. Besides databases, Oracle also sells enterprise resource planning platforms and cloud infrastructure that play an increasingly important role in large language model training and inferencing.
$193
+17%
$555B
$674B
11.7x
21.6x
United States
Incorporated in 1911, International Business Machines, or IBM, is one of the oldest technology companies in the world. It provides software, IT consulting services, and hardware to help business customers modernize their technology workflows. IBM operates in 175 countries and employs approximately 300,000 people. The company has a robust roster of business partners to service its clients, which includes 95% of all Fortune 500 companies. IBM’s products, including Red Hat, watsonx, and mainframes, handle some of the world’s most important data workloads in areas like finance and retail.
$219
-15%
$206B
$264B
3.9x
14.3x
United States
Cerebras Systems Inc is an AI company. It designs the world's fastest AI infrastructure for training and inference. The company builds the world's largest semiconductor as well as the AI systems to power, cool, and feed the processors data. It develops software to link these systems together into industry-leading supercomputers that are simple to use even for the most complicated AI work, using familiar ML frameworks like PyTorch. Customers use its supercomputers to train industry-leading models. The company uses these supercomputers to run inference at speeds unobtainable from alternative commercial technologies. It delivers these AI capabilities to its customers on-premise and via the cloud. The company generates the majority of its revenue from the USA.
$280
--
$60B
$59B
116.5x
(536.2x)
Median$338+29%$1.8T$1.8T11.8x20.4x

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