STMicroelectronics (STM) Return on Capital Employed [ROCE] (2009 - 2026)
STMicroelectronics' Return on Capital Employed [ROCE] was 4.32% in Q3 2026, up 2.35 percentage points from 1.97% a year earlier and up 0.58 percentage points from the prior quarter.
STMicroelectronics (STM) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at STMicroelectronics came in at 0.82%, down 7.23 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, with a five-year change of -12.27 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 8.05% in FY2024 (-16.89 pp), 24.94% in FY2023 (-6.94 pp), 31.88% in FY2022 (+11.80 pp) and 20.08% in FY2021 (+6.99 pp).
- The Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -7.03 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2022 (a gain of 11.21 percentage points); the worst was Q4 2024 (a drop of 15.47 percentage points).
- Per Business Quant data, STM's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was 3.74% (Q2 2026), 2.23% (Q1 2026) and 1.51% (Q4 2025).
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 | STMicroelectronics | 41.54 Bn | 27.26 Bn | 1.40 Bn | 4.32% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 4.32% |
| Jun 27, 2026 | 3.74% |
| Mar 28, 2026 | 2.23% |
| Dec 31, 2025 | 1.48% |
| Sep 27, 2025 | 1.93% |
| Jun 28, 2025 | 2.95% |
| Mar 29, 2025 | 5.35% |
| Dec 31, 2024 | 7.85% |
| Sep 28, 2024 | 11.09% |
| Jun 29, 2024 | 14.91% |
| Mar 30, 2024 | 18.73% |
| Dec 31, 2023 | 23.31% |
| Sep 30, 2023 | 26.36% |
| Jul 1, 2023 | 28.02% |
| Apr 1, 2023 | 28.74% |
| Dec 31, 2022 | 29.03% |
| Oct 1, 2022 | 28.96% |
| Jul 2, 2022 | 25.86% |
| Apr 2, 2022 | 22.30% |
| Dec 31, 2021 | 19.74% |
STMicroelectronics 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=STM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "STM", "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=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();