IBM Operating Expenses by Quarter: FY Q1 2005 – Q2 2020

The below graph represents the IBM operating expenses by quarter, starting from fiscal Q1 2005 to the recently completed quarter. The selling, general and administrative expenses accounted for approximately 33.9% of the company's total revenue in Q1 2020, totalling $5,955 million.

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The above graph represents the IBM operating expenses by quarter, starting from fiscal Q1 2005 to the recently completed quarter. The company’s total operating expenses (excluding cost of revenue) increased 29.4% YoY in Q1 2020, to $7,972 million. The growth was primarily driven by higher spending including Red Hat, higher amortization of acquired intangible assets associated with the Red Hat transaction, higher workforce rebalancing charges and higher non-operating retirement-related costs. IBM’s selling, general and administrative expenses increased a whopping 26.95% YoY in Q1 2020, to $5,955 million – representing 33.9% of the company’s total revenue.

RegionWorldwide
SourceIBM SEC Filings
Graph ID877
NoteIBM fiscal year starts from January

IBM’s research, development and engineering expenses also increased an impressive 13.4% YoY during the first quarter, amounting to $1,625 million. That’s over 9.2% of the company’s total revenue in Q1 2020.

IBM’s total intellectual property and custom development income increased 14.85% YoY in Q1 2020, driven by custom development income which grew 49.1% driven by new agreements.

IBM’s total other (income) and expense was expense of $182 million during the first quarter of 2020 compared to income of $73 million during first quarter of 2019.


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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