SCI Engineered Materials (SCIA) Return on Capital Employed [ROCE] (2011 - 2026)
SCI Engineered Materials' Return on Capital Employed [ROCE] was 19.32% in Q2 2026, up 8.85 percentage points from 10.47% a year earlier and up 5.20 percentage points from the prior quarter.
SCI Engineered Materials (SCIA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at SCI Engineered Materials came in at 12.58%, down 1.01 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, though with a five-year change of +3.83 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 13.59% in FY2024 (-15.03 pp), 28.62% in FY2023 (-3.24 pp), 31.86% in FY2022 (+3.70 pp) and 28.17% in FY2021 (+19.41 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q4 2023.
- 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 -4.18 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2022 (a gain of 19.44 percentage points); the worst was Q3 2024 (a drop of 12.95 percentage points).
- Per Business Quant data, SCIA's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 14.12% (Q1 2026), 10.76% (Q4 2025) and 12.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn | 13.38% |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn | 3.64% |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn | 0.24% |
| 10 | SCI Engineered Materials | 46.73 Mn | 9.48 Mn | 2.28 Mn | 19.32% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.32% |
| Mar 31, 2026 | 14.12% |
| Dec 31, 2025 | 10.76% |
| Sep 30, 2025 | 12.57% |
| Jun 30, 2025 | 10.47% |
| Mar 31, 2025 | 12.15% |
| Dec 31, 2024 | 13.97% |
| Sep 30, 2024 | 16.48% |
| Jun 30, 2024 | 19.11% |
| Mar 31, 2024 | 18.64% |
| Dec 31, 2023 | 23.04% |
| Sep 30, 2023 | 29.43% |
| Jun 30, 2023 | 24.74% |
| Mar 31, 2023 | 30.12% |
| Dec 31, 2022 | 29.47% |
| Sep 30, 2022 | 22.31% |
| Jun 30, 2022 | 35.99% |
| Mar 31, 2022 | 24.81% |
| Dec 31, 2021 | 24.31% |
| Sep 30, 2021 | 21.45% |
SCI Engineered Materials 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=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SCIA", "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=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();