International Business Machines (IBM) Cash & Equivalents (2009 - 2026)
International Business Machines' Cash & Equivalents was $7.17 billion in Q2 2026, down 39.9% from $11.94 billion a year earlier and down 33.7% 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%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q4 2021.
- Compared with a year earlier, Cash & Equivalents has declined for six straight quarters, with growth averaging 0.6% 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 Q2 2026 was $10.82 billion (Q1 2026), $13.59 billion (Q4 2025) and $11.57 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 20.94 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 7.17 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 1.66 Bn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 979.00 Mn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 8.04 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 5.52 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 840.90 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 777.31 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 1.48 Bn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 767.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 7.81 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();