Daqo New Energy (DQ) Return on Capital Employed [ROCE] (2010 - 2026)
Daqo New Energy's Return on Capital Employed [ROCE] was -4.92% in Q2 2026, up 5.81 percentage points from -10.73% a year earlier and up 0.22 percentage points from the prior quarter.
Daqo New Energy (DQ) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Daqo New Energy came in at -4.55%, up 4.26 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -24.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -8.81% in FY2024 (-20.55 pp), 11.74% in FY2023 (-52.51 pp), 64.25% in FY2022 (+11.14 pp) and 53.11% in FY2021 (+33.04 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -12.00% (Q1 2025) and 72.46% (Q1 2022) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of -7.60 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2022 (a gain of 47.13 percentage points); the worst was Q4 2023 (a drop of 34.67 percentage points).
- Per Business Quant data, DQ's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -5.15% (Q1 2026), -4.58% (Q4 2025) and -9.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.41 Bn | 216.99 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 107.42 Bn | 99.99 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 82.89 Bn | 81.93 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 68.59 Bn | 63.78 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 43.02 Bn | 32.53 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.89 Bn | 30.72 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 24.80 Bn | 17.45 Bn | 1.81 Bn | 13.38% |
| 8 | International Flavors & Fragrances | 24.08 Bn | 21.74 Bn | 853.00 Mn | 3.64% |
| 9 | Dow | 23.65 Bn | 7.14 Bn | 2.17 Bn | 0.24% |
| 10 | Daqo New Energy | 689.00 Mn | -3.78 Bn | -82.71 Mn | -4.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.92% |
| Mar 31, 2026 | -5.14% |
| Dec 31, 2025 | -4.58% |
| Sep 30, 2025 | -9.40% |
| Jun 30, 2025 | -10.73% |
| Mar 31, 2025 | -12.00% |
| Dec 31, 2024 | -9.08% |
| Sep 30, 2024 | -2.83% |
| Jun 30, 2024 | -0.92% |
| Mar 31, 2024 | 5.29% |
| Dec 31, 2023 | 12.01% |
| Sep 30, 2023 | 20.36% |
| Jun 30, 2023 | 28.30% |
| Mar 31, 2023 | 38.95% |
| Dec 31, 2022 | 46.68% |
| Sep 30, 2022 | 45.73% |
| Jun 30, 2022 | 51.47% |
| Mar 31, 2022 | 58.87% |
| Dec 31, 2021 | 40.19% |
| Sep 30, 2021 | 47.87% |
Daqo New Energy 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=DQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DQ", "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=DQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();