Fuel Tech (FTEK) Return on Capital Employed [ROCE] (2009 - 2026)
Fuel Tech's Return on Capital Employed [ROCE] was -13.40% in Q3 2026, down 2.87 percentage points from -10.52% a year earlier and down 1.63 percentage points from the prior quarter.
Fuel Tech (FTEK) Return on Capital Employed [ROCE] (2009 - 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 Q3 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q4 2020.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for three straight quarters, with an average year-over-year change of -2.01 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 14.01 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 Q3 2026 was -11.77% (Q2 2026), -10.59% (Q1 2026) and -8.92% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | 12.02% |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | 18.77% |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | 9.47% |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | 20.10% |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | -0.14% |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 12.95% |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | 0.44% |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | -21.41% |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | -4.66% |
| 10 | Fuel Tech | 42.77 Mn | -41.13 Mn | 3.91 Mn | -13.40% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -13.40% |
| 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% |
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();