International Business Machines (IBM) Goodwill & Intangibles (2009 - 2026)
International Business Machines' Goodwill & Intangibles came in at $88.55 billion for Q2 2026, up 11.0% from $79.76 billion a year earlier but down 0.9% from the prior quarter.
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Analysis
International Business Machines (IBM) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, International Business Machines' Goodwill & Intangibles was $79.11 billion, up 10.8% from FY2024.
- Goodwill & Intangibles has increased in each of the last three years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Goodwill & Intangibles was $71.37 billion in FY2024 (+0.2%), $71.21 billion in FY2023 (+6.1%), $67.13 billion in FY2022 (-1.5%) and $68.15 billion in FY2021 (+1.0%).
- The five-year range for quarterly Goodwill & Intangibles is $65.19 billion (Q3 2022) to $89.33 billion (Q1 2026).
- Year-over-year, Goodwill & Intangibles has increased for 13 consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in Q2 2025 (growth of 14.5%), and the weakest in Q3 2022 (a decline of 12.4%).
- Business Quant data shows IBM's Goodwill & Intangibles at $89.33 billion (Q1 2026), $79.11 billion (Q4 2025) and $79.13 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 88.52 Bn |
| Jun 30, 2026 | 88.55 Bn |
| Mar 31, 2026 | 89.33 Bn |
| Dec 31, 2025 | 79.11 Bn |
| Sep 30, 2025 | 79.13 Bn |
| Jun 30, 2025 | 79.76 Bn |
| Mar 31, 2025 | 78.46 Bn |
| Dec 31, 2024 | 71.37 Bn |
| Sep 30, 2024 | 72.18 Bn |
| Jun 30, 2024 | 69.67 Bn |
| Mar 31, 2024 | 70.28 Bn |
| Dec 31, 2023 | 71.21 Bn |
| Sep 30, 2023 | 70.87 Bn |
| Jun 30, 2023 | 66.88 Bn |
| Mar 31, 2023 | 67.10 Bn |
| Dec 31, 2022 | 67.13 Bn |
| Sep 30, 2022 | 65.19 Bn |
| Jun 30, 2022 | 66.61 Bn |
| Mar 31, 2022 | 68.42 Bn |
| Dec 31, 2021 | 68.15 Bn |
API Access
International Business Machines Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();