International Business Machines (IBM) Non-Current Debt (2009 - 2026)
International Business Machines (IBM) reported Non-Current Debt of $56.21 billion for Q2 2026, up 1.8% from $55.22 billion a year earlier but down 2.6% from the prior quarter.
International Business Machines (IBM) Non-Current Debt (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 six quarters, with growth averaging 4.4% 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 Q2 2026 came in at $57.71 billion (Q1 2026), $54.84 billion (Q4 2025) and $55.17 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 31.07 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 56.21 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | - |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 18.52 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 8.50 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 2.39 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 1.79 Bn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | - |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 609.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.21 Bn |
| Mar 31, 2026 | 57.71 Bn |
| Dec 31, 2025 | 54.84 Bn |
| Sep 30, 2025 | 55.17 Bn |
| Jun 30, 2025 | 55.22 Bn |
| Mar 31, 2025 | 56.37 Bn |
| Dec 31, 2024 | 49.88 Bn |
| Sep 30, 2024 | 52.98 Bn |
| Jun 30, 2024 | 52.93 Bn |
| Mar 31, 2024 | 54.03 Bn |
| Dec 31, 2023 | 50.12 Bn |
| Sep 30, 2023 | 48.83 Bn |
| Jun 30, 2023 | 50.69 Bn |
| Mar 31, 2023 | 53.83 Bn |
| Dec 31, 2022 | 46.19 Bn |
| Sep 30, 2022 | 44.94 Bn |
| Jun 30, 2022 | 44.33 Bn |
| Mar 31, 2022 | 46.55 Bn |
| Dec 31, 2021 | 44.92 Bn |
| Sep 30, 2021 | 46.93 Bn |
International Business Machines Non-Current 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=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();