Fuel Tech (FTEK) Return on Sales [ROS] (2010 - 2026)
Fuel Tech (FTEK) posted Return on Sales [ROS] of -24.13% for Q2 2026, down 0.60 percentage points from -23.53% a year earlier but up 2.12 percentage points from the prior quarter.
Fuel Tech (FTEK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Fuel Tech was -16.78%, up 1.38 percentage points year-over-year; for FY2025, it was -13.80%, up 4.91 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +5.43 percentage points (FY2020 to FY2025).
- In prior years, Fuel Tech's Return on Sales [ROS] was -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 Return on Sales [ROS] has run from a low of -40.05% in Q4 2024 to a high of 7.65% in Q3 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -1.84 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 23.38 percentage points; the weakest was Q4 2024, with a drop of 27.43 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -26.25% (Q1 2026), -19.66% (Q4 2025) and 0.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn | 17.16% |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn | 16.70% |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn | 21.37% |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn | 17.71% |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn | -11.64% |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn | 13.26% |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn | -49.05% |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 | -902.45% |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - | - |
| 10 | Fuel Tech | 53.69 Mn | -38.24 Mn | 2.68 Mn | -24.13% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 7.65% |
Fuel Tech Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();