Rogers (ROG) Return on Capital Employed [ROCE] (2011 - 2026)
Rogers' Return on Capital Employed [ROCE] was 4.11% in Q2 2026, up 9.00 percentage points from -4.89% a year earlier and up 6.73 percentage points from the prior quarter.
Rogers (ROG) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Rogers came in at -3.38%, down 5.20 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, with a five-year change of -9.20 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 1.81% in FY2024 (-4.01 pp), 5.82% in FY2023 (-3.94 pp), 9.76% in FY2022 (+0.51 pp) and 9.25% in FY2021 (+3.43 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in 1 of the last eight quarters, with an average year-over-year change of -4.43 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 9.00 percentage points); the worst was Q2 2025 (a drop of 10.77 percentage points).
- Per Business Quant data, ROG's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -2.61% (Q1 2026), -3.43% (Q4 2025) and -4.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 13.38% |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 3.64% |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 1.45% |
| 10 | Rogers | 2.24 Bn | 1.47 Bn | 70.40 Mn | 4.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.11% |
| Mar 31, 2026 | -2.61% |
| Dec 31, 2025 | -3.43% |
| Sep 30, 2025 | -4.91% |
| Jun 30, 2025 | -4.89% |
| Mar 31, 2025 | 0.94% |
| Dec 31, 2024 | 1.80% |
| Sep 30, 2024 | 4.90% |
| Jun 30, 2024 | 5.89% |
| Mar 31, 2024 | 7.02% |
| Dec 31, 2023 | 6.08% |
| Sep 30, 2023 | 9.62% |
| Jun 30, 2023 | 8.75% |
| Mar 31, 2023 | 8.27% |
| Dec 31, 2022 | 9.67% |
| Sep 30, 2022 | 4.84% |
| Jun 30, 2022 | 6.01% |
| Mar 31, 2022 | 6.96% |
| Dec 31, 2021 | 8.96% |
| Sep 30, 2021 | 10.63% |
Rogers 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=ROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ROG", "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=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();