International Business Machines (IBM) EBT (2009 - 2026)
International Business Machines (IBM) posted EBT of $2.48 billion for Q2 2026, down 4.5% from $2.6 billion a year earlier but up 78.7% from the prior quarter.
International Business Machines (IBM) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at International Business Machines was $10.44 billion, up 66.8% year-over-year; for FY2025, it was $10.33 billion, up 78.2% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 32.1% (FY2020 to FY2025).
- In prior years, International Business Machines' EBT was $5.8 billion in FY2024 (-33.3%), $8.69 billion in FY2023 (+651.7%), $1.16 billion in FY2022 (-76.1%) and $4.84 billion in FY2021 (+88.1%).
- Quarterly EBT has run from a low of -$4.5 billion in Q3 2022 to a high of $4.14 billion in Q4 2025 over five years.
- On a year-over-year basis, EBT increased in four of the last six quarters, with growth averaging 8.9%.
- The strongest year-over-year quarter for EBT in the past five years was Q1 2022, with growth of 155.3%; the weakest was Q3 2021, with a decline of 55.5%.
- According to Business Quant data, EBT for the three prior quarters was $1.39 billion (Q1 2026), $4.14 billion (Q4 2025) and $2.43 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 44.05 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 2.48 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -167.94 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 523.00 Mn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -176.70 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -564.00 Mn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 281.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 82.72 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 100.03 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 27.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.48 Bn |
| Mar 31, 2026 | 1.39 Bn |
| Dec 31, 2025 | 4.14 Bn |
| Sep 30, 2025 | 2.43 Bn |
| Jun 30, 2025 | 2.60 Bn |
| Mar 31, 2025 | 1.16 Bn |
| Dec 31, 2024 | 3.31 Bn |
| Sep 30, 2024 | -802.00 Mn |
| Jun 30, 2024 | 2.22 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 3.76 Bn |
| Sep 30, 2023 | 1.87 Bn |
| Jun 30, 2023 | 2.00 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 3.31 Bn |
| Sep 30, 2022 | -4.50 Bn |
| Jun 30, 2022 | 1.72 Bn |
| Mar 31, 2022 | 623.00 Mn |
| Dec 31, 2021 | 2.87 Bn |
| Sep 30, 2021 | 813.00 Mn |
International Business Machines EBT 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=ebt&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();