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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 758.38 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 152.10 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 6.47 Bn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 41.08 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 27.96 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 77.07 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 1.80 Bn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 5.07 Bn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 15.07 Bn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 3.12 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();