On Semiconductor (ON) Return on Capital Employed [ROCE] (2010 - 2026)
On Semiconductor's Return on Capital Employed [ROCE] came in at 6.29% for Q2 2026, up 2.32 percentage points from 3.97% a year earlier and up 0.84 percentage points from the prior quarter.
On Semiconductor (ON) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, On Semiconductor's Return on Capital Employed [ROCE] was 0.70%, down 13.65 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, with a five-year change of -4.37 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 14.35% in FY2024 (-10.03 pp), 24.38% in FY2023 (-2.62 pp), 27.00% in FY2022 (+10.07 pp) and 16.93% in FY2021 (+11.86 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -9.32 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2022 (a gain of 15.07 percentage points), and the weakest in Q1 2025 (a drop of 16.90 percentage points).
- Business Quant data shows ON's Return on Capital Employed [ROCE] at 5.45% (Q1 2026), 0.73% (Q4 2025) and 2.47% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 8.44% |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 72.24% |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 28.98% |
| 10 | On Semiconductor | 28.62 Bn | 16.93 Bn | 616.30 Mn | 6.29% |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 6.29% |
| Apr 3, 2026 | 5.45% |
| Dec 31, 2025 | 0.73% |
| Oct 3, 2025 | 2.47% |
| Jul 4, 2025 | 3.97% |
| Apr 4, 2025 | 5.40% |
| Dec 31, 2024 | 13.95% |
| Sep 27, 2024 | 16.90% |
| Jun 28, 2024 | 19.29% |
| Mar 29, 2024 | 22.29% |
| Dec 31, 2023 | 22.94% |
| Sep 29, 2023 | 24.99% |
| Jun 30, 2023 | 23.59% |
| Mar 31, 2023 | 23.86% |
| Dec 31, 2022 | 24.90% |
| Sep 30, 2022 | 23.26% |
| Jul 1, 2022 | 24.02% |
| Apr 1, 2022 | 21.66% |
| Dec 31, 2021 | 16.64% |
| Oct 1, 2021 | 13.32% |
On Semiconductor Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=ON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ON", "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-capital-employed-%5Broce%5D&ticker=ON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();