Fuel Tech (FTEK) Return on Capital Employed [ROCE] (2011 - 2026)
Fuel Tech's Return on Capital Employed [ROCE] was -11.77% in Q2 2026, down 0.80 percentage points from -10.97% a year earlier and down 1.18 percentage points from the prior quarter.
Fuel Tech (FTEK) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Fuel Tech came in at -8.82%, up 1.93 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +8.30 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -10.75% in FY2024 (-4.79 pp), -5.96% in FY2023 (-2.59 pp), -3.37% in FY2022 (+0.67 pp) and -4.05% in FY2021 (+13.08 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q4 2020.
- 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 -2.01 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2021 (a gain of 24.96 percentage points); the worst was Q1 2024 (a drop of 5.47 percentage points).
- Per Business Quant data, FTEK's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -10.59% (Q1 2026), -8.92% (Q4 2025) and -10.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn | 13.27% |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn | 9.16% |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn | 21.41% |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn | 20.14% |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn | -0.31% |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn | 12.53% |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn | 7.70% |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 | -21.02% |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - | -15.30% |
| 10 | Fuel Tech | 53.69 Mn | -38.24 Mn | 2.68 Mn | -11.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.77% |
| Mar 31, 2026 | -10.59% |
| Dec 31, 2025 | -8.92% |
| Sep 30, 2025 | -10.52% |
| Jun 30, 2025 | -10.97% |
| Mar 31, 2025 | -9.12% |
| Dec 31, 2024 | -10.78% |
| Sep 30, 2024 | -7.66% |
| Jun 30, 2024 | -6.87% |
| Mar 31, 2024 | -8.13% |
| Dec 31, 2023 | -5.95% |
| Sep 30, 2023 | -4.73% |
| Jun 30, 2023 | -4.57% |
| Mar 31, 2023 | -2.67% |
| Dec 31, 2022 | -3.38% |
| Sep 30, 2022 | -3.33% |
| Jun 30, 2022 | -2.45% |
| Mar 31, 2022 | -2.87% |
| Dec 31, 2021 | -3.15% |
| Sep 30, 2021 | -6.30% |
Fuel Tech 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=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FTEK", "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=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();