International Business Machines (IBM) Capital Expenditures (2009 - 2026)
International Business Machines' Capital Expenditures was $229 million in Q2 2026, up 9.0% from $210 million a year earlier but down 1.3% from the prior quarter.
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Analysis
International Business Machines (IBM) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, International Business Machines' Capital Expenditures was $1.1 billion through Jun 30, 2026, up 5.3% year-over-year; for FY2025, it was $1.09 billion, up 4.1% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -16.1% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $1.05 billion in FY2024 (-15.8%), $1.25 billion in FY2023 (-7.5%), $1.35 billion in FY2022 (-34.7%) and $2.06 billion in FY2021 (-21.2%).
- Quarterly Capital Expenditures has moved between $210 million (Q2 2025) and $558 million (Q3 2021) over five years.
- Compared with a year earlier, Capital Expenditures was higher in five of the last eight quarters, with growth averaging 2.5%.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2025 (growth of 26.1%); the worst was Q3 2022 (a decline of 43.2%).
- Per Business Quant data, IBM's Capital Expenditures in the three quarters before Q2 2026 was $232 million (Q1 2026), $382 million (Q4 2025) and $255 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 35.80 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 229.00 Mn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 49.96 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 1.58 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -5.66 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 6.42 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 18.80 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 37.44 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 144.93 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 41.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.00 Mn |
| Mar 31, 2026 | 232.00 Mn |
| Dec 31, 2025 | 382.00 Mn |
| Sep 30, 2025 | 255.00 Mn |
| Jun 30, 2025 | 210.00 Mn |
| Mar 31, 2025 | 244.00 Mn |
| Dec 31, 2024 | 303.00 Mn |
| Sep 30, 2024 | 286.00 Mn |
| Jun 30, 2024 | 220.00 Mn |
| Mar 31, 2024 | 239.00 Mn |
| Dec 31, 2023 | 300.00 Mn |
| Sep 30, 2023 | 281.00 Mn |
| Jun 30, 2023 | 364.00 Mn |
| Mar 31, 2023 | 300.00 Mn |
| Dec 31, 2022 | 409.00 Mn |
| Sep 30, 2022 | 317.00 Mn |
| Jun 30, 2022 | 339.00 Mn |
| Mar 31, 2022 | 281.00 Mn |
| Dec 31, 2021 | 450.00 Mn |
| Sep 30, 2021 | 558.00 Mn |
API Access
International Business Machines Capital Expenditures 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=capital-expenditures&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();