International Business Machines (IBM) EBIT (2009 - 2026)
International Business Machines (IBM) posted EBIT of $2.62 billion for Q2 2026, down 8.3% from $2.85 billion a year earlier but up 54.9% from the prior quarter.
International Business Machines (IBM) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at International Business Machines was $11.11 billion, up 19.6% year-over-year; for FY2025, it came in at $10.86 billion, up 29.5% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In prior years, International Business Machines' EBIT was $8.38 billion in FY2024 (-1.6%), $8.52 billion in FY2023 (+13.5%), $7.51 billion in FY2022 (+20.1%) and $6.25 billion in FY2021 (+54.7%).
- Quarterly EBIT has run from a low of $972 million in Q1 2024 to a high of $4.28 billion in Q4 2025 over five years.
- On a year-over-year basis, EBIT increased in five of the last eight quarters, with growth averaging 18.0%.
- The strongest year-over-year quarter for EBIT in the past five years was Q3 2025, with growth of 54.9%; the weakest was Q3 2021, with a decline of 47.4%.
- According to Business Quant data, EBIT for the three prior quarters was $1.69 billion (Q1 2026), $4.28 billion (Q4 2025) and $2.53 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 45.92 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 2.72 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | -67.93 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 600.00 Mn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | 207.00 Mn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 50.40 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 296.50 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 69.99 Mn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 362.50 Mn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | 108.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.72 Bn |
| Jun 30, 2026 | 2.62 Bn |
| Mar 31, 2026 | 1.69 Bn |
| Dec 31, 2025 | 4.28 Bn |
| Sep 30, 2025 | 2.53 Bn |
| Jun 30, 2025 | 2.85 Bn |
| Mar 31, 2025 | 1.20 Bn |
| Dec 31, 2024 | 3.61 Bn |
| Sep 30, 2024 | 1.63 Bn |
| Jun 30, 2024 | 2.17 Bn |
| Mar 31, 2024 | 972.00 Mn |
| Dec 31, 2023 | 3.73 Bn |
| Sep 30, 2023 | 1.88 Bn |
| Jun 30, 2023 | 1.91 Bn |
| Mar 31, 2023 | 1.00 Bn |
| Dec 31, 2022 | 3.26 Bn |
| Sep 30, 2022 | -30.60 Mn |
| Jun 30, 2022 | 1.76 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 2.97 Bn |
International Business Machines EBIT 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=ebit&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();