IBM Quarterly Revenue by Segment: FY Q1 2006 – Q2 2020

The below graph represents the quarterly distribution of IBM's segments revenue, starting from fiscal Q1 2006 to the recently completed quarter. Approximately 29.8% of the company's total revenue in Q1 2020 came from Cloud & Cognitive Software segment, amounting to $5,238 million.

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The above graph represents the IBM quarterly revenue by segment, starting from fiscal Q1 2006 to the recently completed quarter. IBM global revenue in Q1 2020 declined a 3.4% YoY, to $17,571 million. Approximately 29.8% of that came from Cloud & Cognitive Software segment, amounting to $5,238 million during the first quarter. Nearly 4% YoY growth was primarily driven by the strong performance in Red Hat, Internet of Things, AI and in security services.

RegionWorldwide
SourceIBM SEC Filings
Graph ID886
NoteIBM fiscal year starts from January

IBM revenue from global business services amounted to $4,136 million during Q1 2020, with a flat 0.4% YoY growth. Nearly half of that came from the IBM’s consulting services.

IBM revenue from Global Technology Services segment declined a notable 5.93% in Q1 2020, to $6,467 million. This decline in revenue was primarily driven by the 5.6% YoY decline in Infrastructure & Cloud Services revenue and 6.9% YoY decline in Technology Support Services revenue.

Interestingly, IBM system revenue increased 3% YoY in Q1 2020, $1,368 million, primarily driven by 9% YoY growth in System Hardware revenue.

IBM global financing revenue declined a huge 26.4% YoY, from $406 million in Q1 2019 to $299 million in Q1 2020.


The above graph is a part of Dazeinfo GraphFarm – the most trusted source of hundreds of thousands of market graphs. Our team of researchers mines millions of data points every month to bring the most updated and validated set of data points representing the comprehensive view in a graphical format. From mobile to e-commerce, from Retail to healthcare, from startups to SMEs we have carefully designed thousands of graphs for those who value and understand the importance of data visualisation.

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