Fuel Tech (FTEK) Operating Margin (2009 - 2026)
Fuel Tech (FTEK) recorded Operating Margin of -6.03% in Q3 2026, down 6.08 percentage points from 0.05% a year earlier but up 18.10 percentage points from the prior quarter.
Fuel Tech (FTEK) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Fuel Tech's Operating Margin came in at -17.93% as of Sep 30, 2026, down 0.24 percentage points year-over-year; for FY2025, it was -13.80%, up 4.91 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +5.43 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -18.71% in FY2024 (-8.89 pp), -9.81% in FY2023 (-4.15 pp), -5.67% in FY2022 (+0.47 pp) and -6.14% in FY2021 (+13.09 pp).
- Quarterly Operating Margin has ranged from -40.05% in Q4 2024 to 2.39% in Q3 2022 over the past five years.
- On a year-over-year basis, Operating Margin has declined for three consecutive quarters, with an average year-over-year change of -2.11 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 23.38 percentage points in Q4 2021, against a drop of 27.43 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -24.13% (Q2 2026), -26.25% (Q1 2026) and -19.66% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | 17.26% |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | 19.75% |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | 17.49% |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | 20.23% |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | 2.60% |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 13.55% |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | -87.49% |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | -902.45% |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | - |
| 10 | Fuel Tech | 42.77 Mn | -41.13 Mn | 3.91 Mn | -6.03% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -6.03% |
| Jun 30, 2026 | -24.13% |
| Mar 31, 2026 | -26.25% |
| Dec 31, 2025 | -19.66% |
| Sep 30, 2025 | 0.05% |
| Jun 30, 2025 | -23.53% |
| Mar 31, 2025 | -14.92% |
| Dec 31, 2024 | -40.05% |
| Sep 30, 2024 | -2.28% |
| Jun 30, 2024 | -10.15% |
| Mar 31, 2024 | -34.13% |
| Dec 31, 2023 | -12.62% |
| Sep 30, 2023 | 1.66% |
| Jun 30, 2023 | -24.39% |
| Mar 31, 2023 | -9.03% |
| Dec 31, 2022 | -3.56% |
| Sep 30, 2022 | 2.39% |
| Jun 30, 2022 | -7.62% |
| Mar 31, 2022 | -17.78% |
| Dec 31, 2021 | -3.43% |
Fuel Tech Operating Margin 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=operating-margin&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();