International Business Machines (IBM) Return on Sales [ROS] (2009 - 2026)
International Business Machines' Return on Sales [ROS] came in at 15.24% for Q2 2026, down 1.57 percentage points from 16.81% a year earlier but up 4.63 percentage points from the prior quarter.
International Business Machines (IBM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, International Business Machines reported Return on Sales [ROS] of 16.08%, up 1.58 percentage points year-over-year; for FY2025, it came in at 16.08%, up 2.72 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +8.75 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 13.36% in FY2024 (-0.42 pp), 13.78% in FY2023 (+1.37 pp), 12.41% in FY2022 (+1.51 pp) and 10.90% in FY2021 (+3.58 pp).
- The five-year range for quarterly Return on Sales [ROS] is 6.72% (Q1 2024) to 21.74% (Q4 2025).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +1.05 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 40.60 percentage points), and the weakest in Q3 2021 (a drop of 3.91 percentage points).
- Business Quant data shows IBM's Return on Sales [ROS] at 10.61% (Q1 2026), 21.74% (Q4 2025) and 15.49% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 9.24% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 7.30% |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 10.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.24% |
| Mar 31, 2026 | 10.61% |
| Dec 31, 2025 | 21.74% |
| Sep 30, 2025 | 15.49% |
| Jun 30, 2025 | 16.81% |
| Mar 31, 2025 | 8.22% |
| Dec 31, 2024 | 20.55% |
| Sep 30, 2024 | 10.91% |
| Jun 30, 2024 | 13.77% |
| Mar 31, 2024 | 6.72% |
| Dec 31, 2023 | 21.45% |
| Sep 30, 2023 | 12.74% |
| Jun 30, 2023 | 12.37% |
| Mar 31, 2023 | 7.02% |
| Dec 31, 2022 | 19.54% |
| Sep 30, 2022 | 10.12% |
| Jun 30, 2022 | 11.34% |
| Mar 31, 2022 | 7.46% |
| Dec 31, 2021 | 17.81% |
| Sep 30, 2021 | 9.01% |
International Business Machines Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();