International Business Machines (IBM) Acquisitions (2009 - 2026)
International Business Machines' Acquisitions was $884 million in Q3 2026, compared with $58 million a year earlier.
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Analysis
International Business Machines (IBM) Acquisitions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, International Business Machines' Acquisitions was $11.76 billion through Sep 30, 2026, up 39.2% 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%).
- Quarterly Acquisitions has moved between $15 million (Q2 2026) and $10.47 billion (Q1 2026) over five years.
- Compared with a year earlier, Acquisitions was higher in three of the last six quarters, with growth averaging 84.5%.
- The best year-over-year quarter for Acquisitions over five years was Q2 2025 (growth of 388.2%); the worst was Q2 2026 (a decline of 98.0%).
- Per Business Quant data, IBM's Acquisitions in the three quarters before Q3 2026 was $15 million (Q2 2026), $10.47 billion (Q1 2026) and $391 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 397.00 Mn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 884.00 Mn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 768,000.00 |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | - |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | - |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | - |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 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 | 191.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 884.00 Mn |
| 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 |
API Access
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_KEYimport 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();