FutureFuel (FF) Return on Capital Employed [ROCE] (2011 - 2026)
FutureFuel (FF) posted Return on Capital Employed [ROCE] of -18.89% for Q2 2026, down 0.37 percentage points from -18.52% a year earlier but up 15.17 percentage points from the prior quarter.
FutureFuel (FF) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, FutureFuel's Return on Capital Employed [ROCE] came in at -25.69%, down 28.01 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -30.33 percentage points (FY2020 to FY2025).
- In prior years, FutureFuel's Return on Capital Employed [ROCE] was 2.32% in FY2024 (-6.22 pp), 8.55% in FY2023 (+2.58 pp), 5.97% in FY2022 (+2.36 pp) and 3.61% in FY2021 (-1.04 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -34.06% in Q1 2026 to a high of 14.60% in Q1 2023 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last seven quarters, with an average year-over-year change of -17.12 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2022, with a gain of 10.60 percentage points; the weakest was Q3 2025, with a drop of 34.10 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -34.06% (Q1 2026), -31.08% (Q4 2025) and -23.12% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | - |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 17.58% |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 10.47% |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 13.38% |
| 10 | FutureFuel | 239.74 Mn | 46.13 Mn | 15.02 Mn | -18.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18.89% |
| Mar 31, 2026 | -34.06% |
| Dec 31, 2025 | -31.08% |
| Sep 30, 2025 | -23.12% |
| Jun 30, 2025 | -18.52% |
| Mar 31, 2025 | -7.28% |
| Dec 31, 2024 | 2.91% |
| Sep 30, 2024 | 10.98% |
| Jun 30, 2024 | 10.12% |
| Mar 31, 2024 | 5.10% |
| Dec 31, 2023 | 8.69% |
| Sep 30, 2023 | 5.89% |
| Jun 30, 2023 | 11.07% |
| Mar 31, 2023 | 14.60% |
| Dec 31, 2022 | 6.00% |
| Sep 30, 2022 | 9.49% |
| Jun 30, 2022 | 6.23% |
| Mar 31, 2022 | 5.58% |
| Dec 31, 2021 | 4.24% |
| Sep 30, 2021 | -1.11% |
FutureFuel 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=FF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FF", "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=FF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();