International Business Machines (IBM) Acquisitions (2009 - 2026)
International Business Machines' Acquisitions was $15 million in Q2 2026, down 98.0% from $747 million a year earlier and down 99.9% from the prior quarter.
International Business Machines (IBM) Acquisitions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, International Business Machines' Acquisitions was $10.93 billion through Jun 30, 2026, up 0.3% year-over-year; for FY2025, it was $8.29 billion, up 152.2% from FY2024.
- Acquisitions shows a five-year compound annual growth rate of 89.9% (FY2020 to FY2025).
- In earlier years, Acquisitions was $3.29 billion in FY2024 (-35.3%), $5.08 billion in FY2023 (+116.4%), $2.35 billion in FY2022 (-28.7%) and $3.29 billion in FY2021 (+880.1%).
- The Q2 2026 figure marks the lowest quarterly Acquisitions since Q2 2020.
- Compared with a year earlier, Acquisitions was higher in three of the last seven quarters, with growth averaging 66.0%.
- The best year-over-year quarter for Acquisitions over five years was Q3 2021 (growth of 744.4%); the worst was Q2 2026 (a decline of 98.0%).
- Per Business Quant data, IBM's Acquisitions in the three quarters before Q2 2026 was $10.47 billion (Q1 2026), $391 million (Q4 2025) and $58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 15.00 Mn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | - |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 101.00 Mn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -81.40 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | - |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | - |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.00 Mn |
| Mar 31, 2026 | 10.47 Bn |
| Dec 31, 2025 | 391.00 Mn |
| Sep 30, 2025 | 58.00 Mn |
| Jun 30, 2025 | 747.00 Mn |
| Mar 31, 2025 | 7.10 Bn |
| Dec 31, 2024 | 541.00 Mn |
| Sep 30, 2024 | 2.51 Bn |
| Jun 30, 2024 | 153.00 Mn |
| Mar 31, 2024 | 82.00 Mn |
| Dec 31, 2023 | 137.00 Mn |
| Sep 30, 2023 | 4.59 Bn |
| Jun 30, 2023 | 334.00 Mn |
| Mar 31, 2023 | 22.00 Mn |
| Dec 31, 2022 | 1.33 Bn |
| Sep 30, 2022 | 62.00 Mn |
| Jun 30, 2022 | 260.00 Mn |
| Mar 31, 2022 | 698.00 Mn |
| Dec 31, 2021 | 275.00 Mn |
| Sep 30, 2021 | 152.00 Mn |
International Business Machines Acquisitions 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=acquisitions&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();