International Business Machines (IBM) Enterprise Value (2009 - 2026)
International Business Machines' Enterprise Value came in at $256.89 billion for Q2 2026, down 0.9% from $259.23 billion a year earlier but up 18.9% from the prior quarter.
International Business Machines (IBM) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, International Business Machines reported Enterprise Value of $215.84 billion, up 1.1% year-over-year; for FY2025, it came in at $263.53 billion, up 39.2% from FY2024.
- Enterprise Value has increased in each of the last five years, with a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $189.34 billion in FY2024 (+38.6%), $136.57 billion in FY2023 (+14.6%), $119.14 billion in FY2022 (+5.7%) and $112.74 billion in FY2021 (+20.7%).
- The five-year range for quarterly Enterprise Value is $97.76 billion (Q3 2022) to $263.53 billion (Q4 2025).
- Year-over-year, Enterprise Value increased in seven of the last eight quarters, with growth averaging 35.7%.
- The fastest year-over-year change in Enterprise Value over five years came in Q2 2025 (growth of 77.9%), and the weakest in Q2 2023 (a decline of 11.8%).
- Business Quant data shows IBM's Enterprise Value at $216.12 billion (Q1 2026), $263.53 billion (Q4 2025) and $248.97 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 256.89 Bn |
| Mar 31, 2026 | 216.12 Bn |
| Dec 31, 2025 | 263.53 Bn |
| Sep 30, 2025 | 248.97 Bn |
| Jun 30, 2025 | 259.23 Bn |
| Mar 31, 2025 | 213.71 Bn |
| Dec 31, 2024 | 189.34 Bn |
| Sep 30, 2024 | 190.80 Bn |
| Jun 30, 2024 | 145.70 Bn |
| Mar 31, 2024 | 156.37 Bn |
| Dec 31, 2023 | 136.57 Bn |
| Sep 30, 2023 | 117.21 Bn |
| Jun 30, 2023 | 105.67 Bn |
| Mar 31, 2023 | 101.51 Bn |
| Dec 31, 2022 | 119.14 Bn |
| Sep 30, 2022 | 97.76 Bn |
| Jun 30, 2022 | 119.81 Bn |
| Mar 31, 2022 | 106.24 Bn |
| Dec 31, 2021 | 112.74 Bn |
| Sep 30, 2021 | 110.84 Bn |
International Business Machines Enterprise Value 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=enterprise-value&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();