Dow (DOW) Return on Capital Employed [ROCE] (2009 - 2026)
Dow (DOW) posted Return on Capital Employed [ROCE] of 1.45% for Q3 2026, up 1.69 percentage points from -0.25% a year earlier and up 1.21 percentage points from the prior quarter.
Dow (DOW) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Dow's Return on Capital Employed [ROCE] came in at -3.01%, down 7.47 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, Dow's Return on Capital Employed [ROCE] was 4.46% in FY2024 (+0.62 pp), 3.84% in FY2023 (-7.89 pp), 11.73% in FY2022 (-5.14 pp) and 16.87% in FY2021 (+12.37 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -2.76 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 16.04 percentage points; the weakest was Q2 2023, with a drop of 11.74 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 0.24% (Q2 2026), -2.77% (Q1 2026) and -2.90% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 12.62% |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 10.83% |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 23.55% |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 9.92% |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 12.90% |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 11.12% |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 18.14% |
| 10 | Dow | 22.79 Bn | 8.23 Bn | 1.38 Bn | -1.84% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.84% |
| Jun 30, 2026 | -3.24% |
| Mar 31, 2026 | -6.38% |
| Dec 31, 2025 | -6.40% |
| Sep 30, 2025 | -3.80% |
| Jun 30, 2025 | -3.40% |
| Mar 31, 2025 | -0.66% |
| Dec 31, 2024 | 0.85% |
| Sep 30, 2024 | 0.90% |
| Jun 30, 2024 | 1.17% |
| Mar 31, 2024 | 1.56% |
| Dec 31, 2023 | 0.44% |
| Sep 30, 2023 | 1.04% |
| Jun 30, 2023 | 2.29% |
| Mar 31, 2023 | 4.66% |
| Dec 31, 2022 | 8.63% |
| Sep 30, 2022 | 11.30% |
| Jun 30, 2022 | 13.88% |
| Mar 31, 2022 | 14.28% |
| Dec 31, 2021 | 13.06% |
Dow 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=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DOW", "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=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();