International Business Machines (IBM) Intangibles (2009 - 2026)
International Business Machines (IBM) reported Intangibles of $13.96 billion for Q2 2026, up 13.9% from $12.25 billion a year earlier but down 4.6% from the prior quarter.
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Analysis
International Business Machines (IBM) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, International Business Machines posted Intangibles of $11.39 billion, up 6.9% from FY2024.
- Intangibles has a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- By year, Intangibles came in at $10.66 billion in FY2024 (-3.4%), $11.04 billion in FY2023 (-1.3%), $11.18 billion in FY2022 (-10.6%) and $12.51 billion in FY2021 (-8.9%).
- Five-year quarterly Intangibles spans a low of $10.25 billion in Q2 2024 and a high of $14.62 billion in Q1 2026.
- Year over year, Intangibles has now increased in each of the last six quarters, with growth averaging 9.3% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q2 2025 (growth of 19.5%); the low point was Q3 2022 (a decline of 15.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.62 billion (Q1 2026), $11.39 billion (Q4 2025) and $11.73 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 18.61 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 13.96 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 57.37 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 1.20 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 83.90 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 245.00 Mn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 1.84 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 564.28 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 93.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.96 Bn |
| Mar 31, 2026 | 14.62 Bn |
| Dec 31, 2025 | 11.39 Bn |
| Sep 30, 2025 | 11.73 Bn |
| Jun 30, 2025 | 12.25 Bn |
| Mar 31, 2025 | 12.39 Bn |
| Dec 31, 2024 | 10.66 Bn |
| Sep 30, 2024 | 11.09 Bn |
| Jun 30, 2024 | 10.25 Bn |
| Mar 31, 2024 | 10.75 Bn |
| Dec 31, 2023 | 11.04 Bn |
| Sep 30, 2023 | 11.28 Bn |
| Jun 30, 2023 | 10.50 Bn |
| Mar 31, 2023 | 10.91 Bn |
| Dec 31, 2022 | 11.18 Bn |
| Sep 30, 2022 | 10.97 Bn |
| Jun 30, 2022 | 11.57 Bn |
| Mar 31, 2022 | 12.31 Bn |
| Dec 31, 2021 | 12.51 Bn |
| Sep 30, 2021 | 13.03 Bn |
API Access
International Business Machines 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=intangibles&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();