Fmc (FMC) Return on Capital Employed [ROCE] (2009 - 2026)
Fmc's Return on Capital Employed [ROCE] came in at -29.17% for Q2 2026, down 35.72 percentage points from 6.55% a year earlier but up 1.62 percentage points from the prior quarter.
Fmc (FMC) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Fmc's Return on Capital Employed [ROCE] was -23.55%, down 29.32 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, with a five-year change of -36.00 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 5.78% in FY2024 (-1.03 pp), 6.81% in FY2023 (-9.26 pp), 16.07% in FY2022 (+1.09 pp) and 14.97% in FY2021 (+2.52 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -30.79% (Q1 2026) to 16.89% (Q1 2023).
- Year-over-year, Return on Capital Employed [ROCE] has declined for four consecutive quarters, with an average year-over-year change of -13.49 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2025 (a gain of 3.55 percentage points), and the weakest in Q1 2026 (a drop of 36.62 percentage points).
- Business Quant data shows FMC's Return on Capital Employed [ROCE] at -30.79% (Q1 2026), -22.84% (Q4 2025) and 0.28% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn | 13.38% |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn | 3.64% |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn | 0.24% |
| 10 | Fmc | 635.17 Mn | -1.31 Bn | 342.10 Mn | -29.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.17% |
| Mar 31, 2026 | -30.79% |
| Dec 31, 2025 | -22.84% |
| Sep 30, 2025 | 0.28% |
| Jun 30, 2025 | 6.55% |
| Mar 31, 2025 | 5.83% |
| Dec 31, 2024 | 5.68% |
| Sep 30, 2024 | 3.38% |
| Jun 30, 2024 | 2.99% |
| Mar 31, 2024 | 3.87% |
| Dec 31, 2023 | 6.90% |
| Sep 30, 2023 | 11.64% |
| Jun 30, 2023 | 13.91% |
| Mar 31, 2023 | 16.89% |
| Dec 31, 2022 | 15.96% |
| Sep 30, 2022 | 14.05% |
| Jun 30, 2022 | 14.69% |
| Mar 31, 2022 | 15.50% |
| Dec 31, 2021 | 14.73% |
| Sep 30, 2021 | 12.55% |
Fmc 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=FMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FMC", "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=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();