International Business Machines (IBM) Total Non-Current Liabilities (2009 - 2026)
International Business Machines (IBM) posted Total Non-Current Liabilities of $107.51 billion for Q2 2026, down 1.8% from $109.48 billion a year earlier and down 5.2% from the prior quarter.
International Business Machines (IBM) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, International Business Machines' Total Non-Current Liabilities came in at $109.33 billion, up 10.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In prior years, International Business Machines' Total Non-Current Liabilities was $98.73 billion in FY2024 (-2.4%), $101.15 billion in FY2023 (+8.8%), $92.98 billion in FY2022 (-6.1%) and $99.01 billion in FY2021 (-18.2%).
- Quarterly Total Non-Current Liabilities has run from a low of $92.29 billion in Q3 2022 to a high of $113.41 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2025, with growth of 10.8%; the weakest was Q4 2021, with a decline of 18.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $113.41 billion (Q1 2026), $109.33 billion (Q4 2025) and $106.56 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 250.87 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 107.51 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 4.83 Bn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.68 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 15.23 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 71.68 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 2.16 Bn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 4.34 Bn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 10.17 Bn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 2.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.51 Bn |
| Mar 31, 2026 | 113.41 Bn |
| Dec 31, 2025 | 109.33 Bn |
| Sep 30, 2025 | 106.56 Bn |
| Jun 30, 2025 | 109.48 Bn |
| Mar 31, 2025 | 107.61 Bn |
| Dec 31, 2024 | 98.73 Bn |
| Sep 30, 2024 | 98.62 Bn |
| Jun 30, 2024 | 98.81 Bn |
| Mar 31, 2024 | 102.92 Bn |
| Dec 31, 2023 | 101.15 Bn |
| Sep 30, 2023 | 94.08 Bn |
| Jun 30, 2023 | 97.84 Bn |
| Mar 31, 2023 | 99.87 Bn |
| Dec 31, 2022 | 92.98 Bn |
| Sep 30, 2022 | 92.29 Bn |
| Jun 30, 2022 | 94.54 Bn |
| Mar 31, 2022 | 100.32 Bn |
| Dec 31, 2021 | 99.01 Bn |
| Sep 30, 2021 | 106.68 Bn |
International Business Machines Total Non-Current Liabilities 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-non-current-liabilities&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();