Chemours (CC) Return on Capital Employed [ROCE] (2015 - 2026)
Chemours (CC) posted Return on Capital Employed [ROCE] of -2.08% for Q2 2026, down 1.02 percentage points from -1.06% a year earlier and down 0.50 percentage points from the prior quarter.
Chemours (CC) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Chemours' Return on Capital Employed [ROCE] came in at -1.11%, down 6.38 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -7.52 percentage points (FY2020 to FY2025).
- In prior years, Chemours' Return on Capital Employed [ROCE] was 5.27% in FY2024 (+9.76 pp), -4.49% in FY2023 (-18.03 pp), 13.53% in FY2022 (+1.15 pp) and 12.39% in FY2021 (+5.98 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last five quarters, with an average year-over-year change of +0.92 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2022, with a gain of 10.69 percentage points; the weakest was Q3 2023, with a drop of 22.13 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -1.57% (Q1 2026), -1.09% (Q4 2025) and 0.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 24.09% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 10.47% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.58% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 13.38% |
| 10 | Chemours | 2.03 Bn | -487.76 Mn | 286.00 Mn | -2.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.08% |
| Mar 31, 2026 | -1.57% |
| Dec 31, 2025 | -1.09% |
| Sep 30, 2025 | 0.05% |
| Jun 30, 2025 | -1.06% |
| Mar 31, 2025 | 4.47% |
| Dec 31, 2024 | 5.65% |
| Sep 30, 2024 | 4.55% |
| Jun 30, 2024 | 3.11% |
| Mar 31, 2024 | -5.66% |
| Dec 31, 2023 | -4.39% |
| Sep 30, 2023 | -5.10% |
| Jun 30, 2023 | 1.06% |
| Mar 31, 2023 | 11.40% |
| Dec 31, 2022 | 13.32% |
| Sep 30, 2022 | 17.02% |
| Jun 30, 2022 | 17.37% |
| Mar 31, 2022 | 14.58% |
| Dec 31, 2021 | 11.88% |
| Sep 30, 2021 | 9.36% |
Chemours 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=CC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CC", "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=CC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();