International Business Machines (IBM)

Debt-to-capital ratio

Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
Long-term debt US$ in thousands 50,121,000 48,828,000 50,691,000 53,826,000 46,189,000 44,942,000 44,328,000 46,545,000 44,917,000 46,926,000 48,735,000 51,206,000 54,217,000 55,129,000 55,449,000 52,685,000 54,102,000 57,797,000 58,445,000 39,727,000
Total stockholders’ equity US$ in thousands 22,533,000 23,081,000 22,201,000 21,604,000 21,944,000 20,076,000 19,409,000 19,050,000 18,901,000 22,228,000 21,942,000 21,389,000 20,597,000 21,208,000 20,551,000 19,999,000 20,841,000 17,956,000 17,645,000 16,481,000
Debt-to-capital ratio 0.69 0.68 0.70 0.71 0.68 0.69 0.70 0.71 0.70 0.68 0.69 0.71 0.72 0.72 0.73 0.72 0.72 0.76 0.77 0.71

December 31, 2023 calculation

Debt-to-capital ratio = Long-term debt ÷ (Long-term debt + Total stockholders’ equity)
= $50,121,000K ÷ ($50,121,000K + $22,533,000K)
= 0.69

The debt-to-capital ratio of International Business Machines Corp. has been relatively stable over the past eight quarters, ranging between 0.70 and 0.74. The ratio indicates that, on average, around 70% to 74% of the company's capital structure is comprised of debt. This suggests that IBM relies moderately on debt financing to fund its operations and investments. The consistency in the ratio over time indicates a consistent approach to managing the company's capital structure and debt levels. Investors and analysts may view this stability positively, as it shows a prudent and controlled approach in managing IBM's debt obligations relative to its overall capital base.


Peer comparison

Dec 31, 2023

Company name
Symbol
Debt-to-capital ratio
International Business Machines
IBM
0.69
Hewlett Packard Enterprise Co
HPE
0.27
HP Inc
HPQ
1.21

See also:

International Business Machines Debt to Capital (Quarterly Data)