International Business Machines (IBM) Revenue (2009 - 2026)
International Business Machines (IBM) reported Revenue of $17.16 billion for Q2 2026, up 1.1% from $16.98 billion a year earlier and up 7.8% from the prior quarter.
International Business Machines (IBM) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, International Business Machines' Revenue came in at $69.1 billion, up 7.9% year-over-year; for FY2025, it came in at $67.54 billion, up 7.6% from FY2024.
- Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- By year, Revenue came in at $62.75 billion in FY2024 (+1.4%), $61.86 billion in FY2023 (+2.2%), $60.53 billion in FY2022 (+5.5%) and $57.35 billion in FY2021 (+3.9%).
- Five-year quarterly Revenue spans a low of $13.25 billion in Q3 2021 and a high of $19.69 billion in Q4 2025.
- Year over year, Revenue has now increased in each of the last 12 quarters, with growth averaging 5.3% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q4 2021 (growth of 766.8%); the low point was Q3 2021 (a decline of 24.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.92 billion (Q1 2026), $19.69 billion (Q4 2025) and $16.33 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 90.01 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 17.16 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 696.06 Mn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 2.63 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 582.30 Mn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 2.58 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 434.60 Mn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 757.08 Mn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 1.10 Bn |
| 10 | DigitalOcean Holdings | 14.31 Bn | 12.31 Bn | 154.66 Mn | 281.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.16 Bn |
| Mar 31, 2026 | 15.92 Bn |
| Dec 31, 2025 | 19.69 Bn |
| Sep 30, 2025 | 16.33 Bn |
| Jun 30, 2025 | 16.98 Bn |
| Mar 31, 2025 | 14.54 Bn |
| Dec 31, 2024 | 17.55 Bn |
| Sep 30, 2024 | 14.97 Bn |
| Jun 30, 2024 | 15.77 Bn |
| Mar 31, 2024 | 14.46 Bn |
| Dec 31, 2023 | 17.38 Bn |
| Sep 30, 2023 | 14.75 Bn |
| Jun 30, 2023 | 15.48 Bn |
| Mar 31, 2023 | 14.25 Bn |
| Dec 31, 2022 | 16.69 Bn |
| Sep 30, 2022 | 14.11 Bn |
| Jun 30, 2022 | 15.54 Bn |
| Mar 31, 2022 | 14.20 Bn |
| Dec 31, 2021 | 16.69 Bn |
| Sep 30, 2021 | 13.25 Bn |
International Business Machines Revenue 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=revenue&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();