NXP Semiconductors (NXPI) Return on Capital Employed [ROCE] (2019 - 2026)
NXP Semiconductors (NXPI) recorded Return on Capital Employed [ROCE] of 18.22% in Q2 2026, up 3.43 percentage points from 14.79% a year earlier and up 1.71 percentage points from the prior quarter.
NXP Semiconductors (NXPI) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, NXP Semiconductors reported Return on Capital Employed [ROCE] of 14.11%, down 1.95 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, though with a five-year change of +11.78 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 16.06% in FY2024 (-2.54 pp), 18.60% in FY2023 (-1.62 pp), 20.22% in FY2022 (+5.79 pp) and 14.43% in FY2021 (+12.09 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q4 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in two of the last eight quarters, with an average year-over-year change of -1.39 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 12.41 percentage points in Q3 2021, against a drop of 4.45 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.51% (Q1 2026), 13.50% (Q4 2025) and 13.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 28.98% |
| 10 | NXP Semiconductors | 61.44 Bn | 48.15 Bn | 2.00 Bn | 18.22% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 18.22% |
| Mar 29, 2026 | 16.51% |
| Dec 31, 2025 | 13.50% |
| Sep 28, 2025 | 13.40% |
| Jun 29, 2025 | 14.79% |
| Mar 30, 2025 | 15.69% |
| Dec 31, 2024 | 16.33% |
| Sep 29, 2024 | 17.85% |
| Jun 30, 2024 | 18.12% |
| Mar 31, 2024 | 17.66% |
| Dec 31, 2023 | 18.25% |
| Oct 1, 2023 | 18.73% |
| Jul 2, 2023 | 19.02% |
| Apr 2, 2023 | 19.45% |
| Dec 31, 2022 | 19.16% |
| Oct 2, 2022 | 18.57% |
| Jul 3, 2022 | 17.56% |
| Apr 3, 2022 | 16.24% |
| Dec 31, 2021 | 14.36% |
| Oct 3, 2021 | 13.27% |
NXP Semiconductors 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=NXPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NXPI", "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=NXPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();