Navitas Semiconductor (NVTS) Return on Capital Employed [ROCE] (2021 - 2026)
Navitas Semiconductor's Return on Capital Employed [ROCE] came in at -16.61% for Q3 2026, up 8.64 percentage points from -25.25% a year earlier and up 1.79 percentage points from the prior quarter.
Navitas Semiconductor (NVTS) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Navitas Semiconductor's Return on Capital Employed [ROCE] was -27.41%, up 3.95 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a four-year change of +15.05 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -31.37% in FY2024 (-2.33 pp), -29.03% in FY2023 (+7.32 pp), -36.36% in FY2022 (+6.11 pp) and -42.47% in FY2021.
- The Q3 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q3 2021.
- Year-over-year, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +2.97 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 11.32 percentage points), and the weakest in Q3 2022 (a drop of 24.20 percentage points).
- Business Quant data shows NVTS's Return on Capital Employed [ROCE] at -18.40% (Q2 2026), -25.39% (Q1 2026) and -26.08% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.74% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 8.88% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 80.04% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.30% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 72.24% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 10.71% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 0.99% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Navitas Semiconductor | 2.35 Bn | 799.61 Mn | 5.51 Mn | -16.61% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -16.61% |
| Jun 30, 2026 | -18.40% |
| Mar 31, 2026 | -25.39% |
| Dec 31, 2025 | -26.08% |
| Sep 30, 2025 | -25.25% |
| Jun 30, 2025 | -29.72% |
| Mar 31, 2025 | -34.45% |
| Dec 31, 2024 | -34.07% |
| Sep 30, 2024 | -29.38% |
| Jun 30, 2024 | -27.83% |
| Mar 31, 2024 | -26.28% |
| Dec 31, 2023 | -26.77% |
| Sep 30, 2023 | -27.16% |
| Jun 30, 2023 | -31.15% |
| Mar 31, 2023 | -31.25% |
| Dec 31, 2022 | -29.87% |
| Sep 30, 2022 | -37.08% |
| Jun 30, 2022 | -36.04% |
| Mar 31, 2022 | -34.57% |
| Dec 31, 2021 | -25.97% |
Navitas 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=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NVTS", "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=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();