DuPont de Nemours (DD) Return on Capital Employed [ROCE] (2017 - 2026)
DuPont de Nemours' Return on Capital Employed [ROCE] was 8.49% in Q2 2026, up 3.67 percentage points from 4.82% a year earlier and up 0.26 percentage points from the prior quarter.
DuPont de Nemours (DD) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at DuPont de Nemours came in at 4.29%, up 1.05 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +2.29 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 3.24% in FY2024 (+0.29 pp), 2.95% in FY2023 (-3.61 pp), 6.56% in FY2022 (+2.00 pp) and 4.56% in FY2021 (+2.56 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2018.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for seven straight quarters, with an average year-over-year change of +2.02 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2025 (a gain of 6.35 percentage points); the worst was Q3 2024 (a drop of 8.16 percentage points).
- Per Business Quant data, DD's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 8.23% (Q1 2026), 5.66% (Q4 2025) and 4.70% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 13.38% |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 3.64% |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 0.24% |
| 10 | DuPont de Nemours | 18.24 Bn | 13.23 Bn | 639.00 Mn | 8.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.49% |
| Mar 31, 2026 | 8.23% |
| Dec 31, 2025 | 5.66% |
| Sep 30, 2025 | 4.70% |
| Jun 30, 2025 | 4.82% |
| Mar 31, 2025 | 3.97% |
| Dec 31, 2024 | 3.13% |
| Sep 30, 2024 | -1.65% |
| Jun 30, 2024 | -0.10% |
| Mar 31, 2024 | 1.46% |
| Dec 31, 2023 | 3.05% |
| Sep 30, 2023 | 6.51% |
| Jun 30, 2023 | 6.66% |
| Mar 31, 2023 | 6.73% |
| Dec 31, 2022 | 6.70% |
| Sep 30, 2022 | 6.78% |
| Jun 30, 2022 | 6.28% |
| Mar 31, 2022 | 6.05% |
| Dec 31, 2021 | 5.95% |
| Sep 30, 2021 | 7.80% |
DuPont de Nemours 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=DD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DD", "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=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();