Navitas Semiconductor (NVTS) Return on Capital Employed [ROCE] (2021 - 2026)
Navitas Semiconductor's Return on Capital Employed [ROCE] came in at -18.40% for Q2 2026, up 11.32 percentage points from -29.72% a year earlier and up 7.00 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 Q2 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 four consecutive quarters, with an average year-over-year change of +1.62 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 -25.39% (Q1 2026), -26.08% (Q4 2025) and -25.25% (Q3 2025) in the three quarters before Q2 2026.
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 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn | -18.40% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -12.88% |
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();