International Business Machines (IBM) Cash & Equivalents (2009 - 2026)
International Business Machines' Cash & Equivalents was $9.23 billion in Q3 2026, down 20.2% from $11.57 billion a year earlier but up 28.7% from the prior quarter.
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Analysis
International Business Machines (IBM) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at International Business Machines came in at $13.59 billion, down 2.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $13.95 billion in FY2024 (+6.7%), $13.07 billion in FY2023 (+65.7%), $7.89 billion in FY2022 (+13.4%) and $6.96 billion in FY2021 (-49.1%).
- Quarterly Cash & Equivalents has moved between $6.96 billion (Q4 2021) and $14.6 billion (Q1 2024) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for seven straight quarters, with an average decline of 12.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2024 (growth of 81.9%); the worst was Q4 2021 (a decline of 49.1%).
- Per Business Quant data, IBM's Cash & Equivalents in the three quarters before Q3 2026 was $7.17 billion (Q2 2026), $10.82 billion (Q1 2026) and $13.59 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 20.28 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 9.23 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 1.97 Bn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 2.36 Bn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | 4.12 Bn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 7.43 Bn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 206.80 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 777.31 Mn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 1.12 Bn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | 1.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.23 Bn |
| Jun 30, 2026 | 7.17 Bn |
| Mar 31, 2026 | 10.82 Bn |
| Dec 31, 2025 | 13.59 Bn |
| Sep 30, 2025 | 11.57 Bn |
| Jun 30, 2025 | 11.94 Bn |
| Mar 31, 2025 | 11.04 Bn |
| Dec 31, 2024 | 13.95 Bn |
| Sep 30, 2024 | 13.20 Bn |
| Jun 30, 2024 | 12.21 Bn |
| Mar 31, 2024 | 14.60 Bn |
| Dec 31, 2023 | 13.07 Bn |
| Sep 30, 2023 | 7.26 Bn |
| Jun 30, 2023 | 9.39 Bn |
| Mar 31, 2023 | 9.54 Bn |
| Dec 31, 2022 | 7.89 Bn |
| Sep 30, 2022 | 7.98 Bn |
| Jun 30, 2022 | 7.25 Bn |
| Mar 31, 2022 | 10.22 Bn |
| Dec 31, 2021 | 6.96 Bn |
API Access
International Business Machines Cash & Equivalents 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=cash-and-equivalents&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();