International Business Machines (IBM) Assets (2009 - 2026)
International Business Machines' Assets came in at $152.1 billion for Q2 2026, up 2.4% from $148.59 billion a year earlier but down 2.6% from the prior quarter.
International Business Machines (IBM) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, International Business Machines' Assets was $151.88 billion, up 10.7% from FY2024.
- Assets has increased in each of the last three years, though with a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Going back by year, Assets was $137.18 billion in FY2024 (+1.4%), $135.24 billion in FY2023 (+6.3%), $127.24 billion in FY2022 (-3.6%) and $132 billion in FY2021 (-15.4%).
- The five-year range for quarterly Assets is $125.85 billion (Q3 2022) to $156.23 billion (Q1 2026).
- Year-over-year, Assets has increased for 14 consecutive quarters, with growth averaging 6.5% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in Q2 2025 (growth of 11.0%), and the weakest in Q4 2021 (a decline of 15.4%).
- Business Quant data shows IBM's Assets at $156.23 billion (Q1 2026), $151.88 billion (Q4 2025) and $146.31 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,892.50 Bn | 3,815.66 Bn | 60.48 Bn | 758.38 Bn |
| 2 | International Business Machines | 238.73 Bn | 189.54 Bn | 9.91 Bn | 152.10 Bn |
| 3 | Cloudflare | 114.72 Bn | 98.25 Bn | 499.52 Mn | 6.47 Bn |
| 4 | Equinix | 94.20 Bn | 82.76 Bn | 1.40 Bn | 41.08 Bn |
| 5 | Nebius | 38.48 Bn | 11.91 Bn | 448.70 Mn | 27.96 Bn |
| 6 | CoreWeave | 29.87 Bn | 16.96 Bn | 1.70 Bn | 77.07 Bn |
| 7 | Verisign | 27.08 Bn | 24.44 Bn | 393.20 Mn | 1.28 Bn |
| 8 | Nutanix | 18.92 Bn | 10.61 Bn | 651.35 Mn | 5.07 Bn |
| 9 | GoDaddy | 14.68 Bn | 10.25 Bn | 828.20 Mn | 8.00 Bn |
| 10 | Akamai Technologies | 13.49 Bn | 6.90 Bn | 613.75 Mn | 15.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.10 Bn |
| Mar 31, 2026 | 156.23 Bn |
| Dec 31, 2025 | 151.88 Bn |
| Sep 30, 2025 | 146.31 Bn |
| Jun 30, 2025 | 148.59 Bn |
| Mar 31, 2025 | 145.67 Bn |
| Dec 31, 2024 | 137.18 Bn |
| Sep 30, 2024 | 134.34 Bn |
| Jun 30, 2024 | 133.85 Bn |
| Mar 31, 2024 | 137.17 Bn |
| Dec 31, 2023 | 135.24 Bn |
| Sep 30, 2023 | 129.32 Bn |
| Jun 30, 2023 | 132.21 Bn |
| Mar 31, 2023 | 133.64 Bn |
| Dec 31, 2022 | 127.24 Bn |
| Sep 30, 2022 | 125.85 Bn |
| Jun 30, 2022 | 127.50 Bn |
| Mar 31, 2022 | 133.28 Bn |
| Dec 31, 2021 | 132.00 Bn |
| Sep 30, 2021 | 144.21 Bn |
International Business Machines Assets 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=assets&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();