International Business Machines (IBM) Long-Term Debt Repayments (2009 - 2026)
International Business Machines' Long-Term Debt Repayments came in at $120 million for Q3 2026, down 89.2% from $1.11 billion a year earlier and down 97.2% from the prior quarter.
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Analysis
International Business Machines (IBM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, International Business Machines reported Long-Term Debt Repayments of $9.07 billion, up 138.5% year-over-year; for FY2025, it was $5.49 billion, down 17.0% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -16.3% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $6.62 billion in FY2024 (+30.2%), $5.08 billion in FY2023 (-25.3%), $6.8 billion in FY2022 (-20.9%) and $8.6 billion in FY2021 (-35.7%).
- The Q3 2026 figure represents the lowest quarterly Long-Term Debt Repayments since Q4 2023.
- Year-over-year, Long-Term Debt Repayments increased in three of the last seven quarters, with growth averaging 24.2%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2026 (growth of 222.1%), and the weakest in Q4 2023 (a decline of 91.9%).
- Business Quant data shows IBM's Long-Term Debt Repayments at $4.21 billion (Q2 2026), $2.93 billion (Q1 2026) and $1.81 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | 120.00 Mn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | - |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 44.00 Mn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | -12.78 Bn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | -21.50 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | -550.00 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 120.00 Mn |
| Jun 30, 2026 | 4.21 Bn |
| Mar 31, 2026 | 2.93 Bn |
| Dec 31, 2025 | 1.81 Bn |
| Sep 30, 2025 | 1.11 Bn |
| Jun 30, 2025 | 1.31 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 124.00 Mn |
| Sep 30, 2024 | 1.27 Bn |
| Jun 30, 2024 | 3.12 Bn |
| Mar 31, 2024 | 2.11 Bn |
| Dec 31, 2023 | 109.00 Mn |
| Sep 30, 2023 | 1.71 Bn |
| Jun 30, 2023 | 1.14 Bn |
| Mar 31, 2023 | 2.13 Bn |
| Dec 31, 2022 | 1.35 Bn |
| Sep 30, 2022 | 1.49 Bn |
| Jun 30, 2022 | 2.83 Bn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.28 Bn |
API Access
International Business Machines Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();