Cisco reported revenue of $63.3 billion in fiscal 2026 (year to 25 July 2026), up 12% from $56.7 billion, according to its 10-K. Networking products brought in $34.7 billion, up 22%, which Cisco credits mainly to its AI infrastructure business. Services were flat at $15.0 billion, so products made up 76% of revenue.
How we source: the figures in the boxes and charts on this page come from Cisco’s own annual filing, with the period stated next to each number. Data checked 17 October 2026. The original article below may quote earlier periods. Our methodology.
Cisco generated $56.99 billion in revenue in 2023, compared to $51.56 billion in 2022, and $49.82 billion in 2021.
In 2023, Cisco generated most of its revenue from productbusiness, which generated $43.14 billion compared to the service business which generated $13.85 billion. Cisco generated most of its revenue from product, indeed in 2023 the company generated $43.14 billion, compared to $38.02 billion in 2022 and $36.01 billion in 2021. Cisco product revenue primarily comprises revenue coming from Secure, Agile Networks Internet for Future Collaboration and End-to-End Security.
A platform business model generates value by enabling interactions between people, groups, and users by leveraging network effects. Platform business models usually comprise two sides: supply and demand. Kicking off the interactions between those two sides is one of the crucial elements for a platform business model success.
A marketplace is a platform where buyers and sellers interact and transact. The platform acts as a marketplace that will generate revenues in fees from one or all the parties involved in the transaction. Usually, marketplaces can be classified in several ways, like those selling services vs. products or those connecting buyers and sellers at B2B, B2C, or C2C level. And those marketplaces connecting two core players, or more.
A network effect is a phenomenon in which as more people or users join a platform, the more the value of the service offered by the platform improves for those joining afterward.
In an asymmetric businessmodel, the organization doesnโt monetize the user directly, but it leverages the data users provide coupled with technology, thus have a key customer pay to sustain the core asset. For example, Google makes money by leveraging usersโ data, combined with its algorithms sold to advertisers for visibility.
In an asymmetric businessmodel, the organization doesnโt monetize the user directly, but it leverages the data users provide coupled with technology, thus having a key customer pay to sustain the core asset. For example, Google makes money by leveraging usersโ data, combined with its algorithms sold to advertisers for visibility. This is how attention merchants make monetize their business models.
The wholesale model is a selling model where wholesalers sell their products in bulk to a retailer at a discounted price. The retailer then on-sells the products to consumers at a higher price. In the wholesale model, a wholesaler sells products in bulk to retail outlets for onward sale. Occasionally, the wholesaler sells direct to the consumer, with supermarket giant Costco the most obvious example.
A retail business model follows a direct-to-consumer approach, also called B2C, where the company sells directly to final customers a processed/finished product. This implies a business model that is mostly local-based, it carries higher margins, but also higher costs and distribution risks.
A B2B2C is a particular kind of business model where a company, rather than accessing the consumer market directly, it does that via another business. Yet the final consumers will recognize the brand or the service provided by the B2B2C. The company offering the service might gain direct access to consumers over time.
The term โcrowdsourcingโ was first coined by Wired Magazine editor Jeff Howe in a 2006 article titled Rise of Crowdsourcing. Though the practice has existed in some form or another for centuries, it rose to prominence when eCommerce, social media, and smartphone culture began to emerge. Crowdsourcing is the act of obtaining knowledge, goods, services, or opinions from a group of people. These people submit information via social media, smartphone apps, or dedicated crowdsourcing platforms.
While the term has been coined by Andrew Lampitt, open-core is an evolution of open-source. Where a core part of the software/platform is offered for free, while on top of it are built premium features or add-ons, which get monetized by the corporation who developed the software/platform. An example of the GitLab open core model, where the hosted service is free and open, while the software is closed.
Open source is licensed and usually developed and maintained by a community of independent developers. While the freemium is developed in-house. Thus the freemium give the company that developed it, full control over its distribution. In an open-source model, the for-profit company has to distribute its premium version per its open-source licensing model.
The freemium – unless the whole organization is aligned around it – is a growth strategy rather than a businessmodel. A free service is provided to a majority of users, while a small percentage of those users convert into paying customers through the sales funnel. Free users will help spread the brand through word of mouth.
A freeterprise is a combination of free and enterprise where free professional accounts are driven into the funnel through the free product. As the opportunity is identified the company assigns the free account to a salesperson within the organization (inside sales or fields sales) to convert that into a B2B/enterprise account.
In a franchained businessmodel (a short-term chain, long-term franchise) model, the company deliberately launched its operations by keeping tight ownership on the main assets, while those are established, thus choosing a chain model. Once operations are running and established, the company divests its ownership and opts instead for a franchising model.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
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