International Business Machines (IBM) Total Debt (2009 - 2026)
International Business Machines' Total Debt was $61.99 billion in Q2 2026, down 3.4% from $64.16 billion a year earlier and down 6.6% from the prior quarter.
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Analysis
International Business Machines (IBM) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at International Business Machines came in at $61.26 billion, up 11.4% from FY2024.
- Total Debt shows a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- In earlier years, Total Debt was $54.97 billion in FY2024 (-2.8%), $56.55 billion in FY2023 (+1.5%), $55.7 billion in FY2022 (-4.7%) and $58.47 billion in FY2021 (-14.4%).
- Quarterly Total Debt has moved between $54.97 billion (Q4 2024) and $66.36 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Debt was higher in six of the last eight quarters, with growth averaging 5.5%.
- The best year-over-year quarter for Total Debt over five years was Q2 2025 (growth of 13.5%); the worst was Q3 2021 (a decline of 18.6%).
- Per Business Quant data, IBM's Total Debt in the three quarters before Q2 2026 was $66.36 billion (Q1 2026), $61.26 billion (Q4 2025) and $63.12 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 40.29 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 61.99 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 1.29 Bn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 19.69 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 8.55 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 3.66 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 2.33 Bn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 1.71 Bn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 921.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.99 Bn |
| Mar 31, 2026 | 66.36 Bn |
| Dec 31, 2025 | 61.26 Bn |
| Sep 30, 2025 | 63.12 Bn |
| Jun 30, 2025 | 64.16 Bn |
| Mar 31, 2025 | 63.28 Bn |
| Dec 31, 2024 | 54.97 Bn |
| Sep 30, 2024 | 56.58 Bn |
| Jun 30, 2024 | 56.53 Bn |
| Mar 31, 2024 | 59.50 Bn |
| Dec 31, 2023 | 56.55 Bn |
| Sep 30, 2023 | 55.24 Bn |
| Jun 30, 2023 | 57.48 Bn |
| Mar 31, 2023 | 63.59 Bn |
| Dec 31, 2022 | 55.70 Bn |
| Sep 30, 2022 | 56.62 Bn |
| Jun 30, 2022 | 56.06 Bn |
| Mar 31, 2022 | 61.91 Bn |
| Dec 31, 2021 | 58.47 Bn |
| Sep 30, 2021 | 61.13 Bn |
API Access
International Business Machines Total Debt API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-debt&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "IBM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-debt&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();