Mks (MKSI) Return on Capital Employed [ROCE] (2010 - 2026)
Mks (MKSI) recorded Return on Capital Employed [ROCE] of 10.62% in Q2 2026, up 4.13 percentage points from 6.49% a year earlier and up 1.89 percentage points from the prior quarter.
Mks (MKSI) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Mks reported Return on Capital Employed [ROCE] of 6.80%, up 0.63 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -7.02 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 6.16% in FY2024 (+22.59 pp), -16.43% in FY2023 (-25.16 pp), 8.73% in FY2022 (-9.85 pp) and 18.58% in FY2021 (+4.77 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q2 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for nine consecutive quarters, with an average year-over-year change of +10.15 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 24.94 percentage points in Q4 2024, against a drop of 31.28 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.73% (Q1 2026), 6.71% (Q4 2025) and 6.57% (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 | Mks | 18.87 Bn | 16.32 Bn | 595.00 Mn | 10.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.62% |
| Mar 31, 2026 | 8.73% |
| Dec 31, 2025 | 6.71% |
| Sep 30, 2025 | 6.57% |
| Jun 30, 2025 | 6.49% |
| Mar 31, 2025 | 6.44% |
| Dec 31, 2024 | 6.19% |
| Sep 30, 2024 | 4.72% |
| Jun 30, 2024 | 4.60% |
| Mar 31, 2024 | -17.44% |
| Dec 31, 2023 | -18.75% |
| Sep 30, 2023 | -16.94% |
| Jun 30, 2023 | -14.94% |
| Mar 31, 2023 | 4.23% |
| Dec 31, 2022 | 5.89% |
| Sep 30, 2022 | 9.02% |
| Jun 30, 2022 | 16.34% |
| Mar 31, 2022 | 17.19% |
| Dec 31, 2021 | 17.51% |
| Sep 30, 2021 | 17.24% |
Mks 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=MKSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MKSI", "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=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();