International Business Machines (IBM) Cost of Revenue (2009 - 2026)
International Business Machines (IBM) reported Cost of Revenue of $7.26 billion for Q2 2026, up 3.6% from $7 billion a year earlier and up 4.1% from the prior quarter.
International Business Machines (IBM) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, International Business Machines' Cost of Revenue came in at $28.95 billion, up 6.5% year-over-year; for FY2025, it came in at $28.24 billion, up 3.8% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $27.2 billion in FY2024 (-1.3%), $27.56 billion in FY2023 (-1.0%), $27.84 billion in FY2022 (+7.6%) and $25.87 billion in FY2021 (+6.4%).
- Five-year quarterly Cost of Revenue spans a low of $6.15 billion in Q3 2021 and a high of $7.76 billion in Q4 2025.
- Year over year, Cost of Revenue has now increased in each of the last five quarters, with growth averaging 2.9% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q2 2022 (growth of 13.8%); the low point was Q3 2021 (a decline of 32.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.97 billion (Q1 2026), $7.76 billion (Q4 2025) and $6.97 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 29.53 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 7.26 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 196.54 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 1.23 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 133.60 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 879.00 Mn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 50.00 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 105.73 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 485.93 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 126.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.26 Bn |
| Mar 31, 2026 | 6.97 Bn |
| Dec 31, 2025 | 7.76 Bn |
| Sep 30, 2025 | 6.97 Bn |
| Jun 30, 2025 | 7.00 Bn |
| Mar 31, 2025 | 6.51 Bn |
| Dec 31, 2024 | 7.11 Bn |
| Sep 30, 2024 | 6.55 Bn |
| Jun 30, 2024 | 6.82 Bn |
| Mar 31, 2024 | 6.72 Bn |
| Dec 31, 2023 | 7.11 Bn |
| Sep 30, 2023 | 6.73 Bn |
| Jun 30, 2023 | 6.97 Bn |
| Mar 31, 2023 | 6.74 Bn |
| Dec 31, 2022 | 7.06 Bn |
| Sep 30, 2022 | 6.68 Bn |
| Jun 30, 2022 | 7.25 Bn |
| Mar 31, 2022 | 6.86 Bn |
| Dec 31, 2021 | 7.20 Bn |
| Sep 30, 2021 | 6.15 Bn |
International Business Machines Cost of 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=cost-of-revenue&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();