International Business Machines (IBM) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
International Business Machines (IBM) reported Non-Current Debt of $56.8 billion for Q3 2026, up 3.0% from $55.17 billion a year earlier and up 1.1% from the prior quarter.
International Business Machines (IBM) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025, International Business Machines posted Non-Current Debt of $54.84 billion, up 9.9% from FY2024.
- Non-Current Debt has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $49.88 billion in FY2024 (-0.5%), $50.12 billion in FY2023 (+8.5%), $46.19 billion in FY2022 (+2.8%) and $44.92 billion in FY2021 (-17.2%).
- Five-year quarterly Non-Current Debt spans a low of $44.33 billion in Q2 2022 and a high of $57.71 billion in Q1 2026.
- Year over year, Non-Current Debt has now increased in each of the last seven quarters, with growth averaging 3.7% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q1 2023 (growth of 15.6%); the low point was Q4 2021 (a decline of 17.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $56.21 billion (Q2 2026), $57.71 billion (Q1 2026) and $54.84 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | -4.85 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 1.86 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 2.50 Bn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 2.94 Bn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | 23.08 Bn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 5.77 Bn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 548.60 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | - |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | -589,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.86 Bn |
| Jun 30, 2026 | -4.21 Bn |
| Mar 31, 2026 | 4.51 Bn |
| Dec 31, 2025 | -1.81 Bn |
| Sep 30, 2025 | -1.11 Bn |
| Jun 30, 2025 | -1.30 Bn |
| Mar 31, 2025 | 7.12 Bn |
| Dec 31, 2024 | -124.00 Mn |
| Sep 30, 2024 | -1.27 Bn |
| Jun 30, 2024 | -2.90 Bn |
| Mar 31, 2024 | 3.38 Bn |
| Dec 31, 2023 | -109.00 Mn |
| Sep 30, 2023 | -1.56 Bn |
| Jun 30, 2023 | -1.14 Bn |
| Mar 31, 2023 | 7.31 Bn |
| Dec 31, 2022 | -1.35 Bn |
| Sep 30, 2022 | 1.91 Bn |
| Jun 30, 2022 | -2.51 Bn |
| Mar 31, 2022 | 2.96 Bn |
| Dec 31, 2021 | -1.15 Bn |
International Business Machines Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();