International Business Machines (IBM) Gross Margin (2009 - 2026)
International Business Machines (IBM) recorded Gross Margin of 57.73% in Q2 2026, down 1.04 percentage points from 58.77% a year earlier but up 1.50 percentage points from the prior quarter.
International Business Machines (IBM) Gross Margin (2009 - 2026) Analysis & Trends
On a TTM basis, International Business Machines' Gross Margin came in at 58.10% as of Jun 30, 2026, up 0.53 percentage points year-over-year; for FY2025, it came in at 58.19%, up 1.54 percentage points from FY2024.
- Annual Gross Margin has increased for three straight years, with a five-year change of +2.25 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 56.65% in FY2024 (+1.20 pp), 55.45% in FY2023 (+1.45 pp), 54.00% in FY2022 (-0.90 pp) and 54.90% in FY2021 (-1.03 pp).
- Quarterly Gross Margin has ranged from 51.67% in Q1 2022 to 60.59% in Q4 2025 over the past five years.
- On a year-over-year basis, Gross Margin rose in seven of the last eight quarters, with an average year-over-year change of +1.01 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 5.62 percentage points in Q3 2021, against a drop of 244.90 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 56.23% (Q1 2026), 60.59% (Q4 2025) and 57.31% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 67.20% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 57.73% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 71.76% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 53.14% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 77.06% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 65.86% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 88.50% |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 86.03% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 55.81% |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 55.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.73% |
| Mar 31, 2026 | 56.23% |
| Dec 31, 2025 | 60.59% |
| Sep 30, 2025 | 57.31% |
| Jun 30, 2025 | 58.77% |
| Mar 31, 2025 | 55.23% |
| Dec 31, 2024 | 59.47% |
| Sep 30, 2024 | 56.25% |
| Jun 30, 2024 | 56.75% |
| Mar 31, 2024 | 53.53% |
| Dec 31, 2023 | 59.07% |
| Sep 30, 2023 | 54.39% |
| Jun 30, 2023 | 54.93% |
| Mar 31, 2023 | 52.69% |
| Dec 31, 2022 | 57.71% |
| Sep 30, 2022 | 52.67% |
| Jun 30, 2022 | 53.36% |
| Mar 31, 2022 | 51.67% |
| Dec 31, 2021 | 56.91% |
| Sep 30, 2021 | 53.63% |
International Business Machines Gross Margin 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=gross-margin&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();