International Business Machines (IBM) Market Capitalization (2009 - 2026)
International Business Machines' Market Capitalization was $264.94 billion in Q2 2026, down 3.5% from $274.59 billion a year earlier but up 16.3% from the prior quarter.
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Analysis
International Business Machines (IBM) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2025, Market Capitalization at International Business Machines came in at $277.86 billion, up 36.3% from FY2024.
- Market Capitalization has now increased for five consecutive years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In earlier years, Market Capitalization was $203.84 billion in FY2024 (+36.0%), $149.93 billion in FY2023 (+17.3%), $127.8 billion in FY2022 (+6.3%) and $120.2 billion in FY2021 (+11.8%).
- Quarterly Market Capitalization has moved between $107.42 billion (Q3 2022) and $277.86 billion (Q4 2025) over five years.
- Compared with a year earlier, Market Capitalization was higher in six of the last eight quarters, with growth averaging 32.5%.
- The best year-over-year quarter for Market Capitalization over five years was Q2 2025 (growth of 72.4%); the worst was Q3 2022 (a decline of 9.8%).
- Per Business Quant data, IBM's Market Capitalization in the three quarters before Q2 2026 was $227.82 billion (Q1 2026), $277.86 billion (Q4 2025) and $263.74 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264.94 Bn |
| Mar 31, 2026 | 227.82 Bn |
| Dec 31, 2025 | 277.86 Bn |
| Sep 30, 2025 | 263.74 Bn |
| Jun 30, 2025 | 274.59 Bn |
| Mar 31, 2025 | 231.10 Bn |
| Dec 31, 2024 | 203.84 Bn |
| Sep 30, 2024 | 204.42 Bn |
| Jun 30, 2024 | 159.31 Bn |
| Mar 31, 2024 | 175.42 Bn |
| Dec 31, 2023 | 149.93 Bn |
| Sep 30, 2023 | 128.11 Bn |
| Jun 30, 2023 | 121.90 Bn |
| Mar 31, 2023 | 119.04 Bn |
| Dec 31, 2022 | 127.80 Bn |
| Sep 30, 2022 | 107.42 Bn |
| Jun 30, 2022 | 127.52 Bn |
| Mar 31, 2022 | 116.94 Bn |
| Dec 31, 2021 | 120.20 Bn |
| Sep 30, 2021 | 119.11 Bn |
API Access
International Business Machines Market Capitalization 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=market-capitalization&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();