Fuel Tech (FTEK) Selling, General & Administrative (2010 - 2026)
Fuel Tech (FTEK) recorded Selling, General & Administrative of $3.59 million in Q2 2026, up 7.4% from $3.35 million a year earlier but down 3.3% from the prior quarter.
Fuel Tech (FTEK) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Fuel Tech's Selling, General & Administrative came in at $14.67 million as of Jun 30, 2026, up 5.9% year-over-year; for FY2025, it was $14.05 million, up 2.1% from FY2024.
- Annual Selling, General & Administrative has increased for four straight years, with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $13.76 million in FY2024 (+7.5%), $12.8 million in FY2023 (+4.3%), $12.28 million in FY2022 (+1.8%) and $12.06 million in FY2021 (-11.4%).
- Quarterly Selling, General & Administrative has ranged from $2.8 million in Q3 2021 to $4.16 million in Q4 2025 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for three consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 19.6% in Q4 2023, against a decline of 15.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.72 million (Q1 2026), $4.16 million (Q4 2025) and $3.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 503.00 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 514.00 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 63.89 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 6.80 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 8.42 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 3.82 Mn |
| 10 | Fuel Tech | 50.57 Mn | -41.36 Mn | 2.68 Mn | 3.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.59 Mn |
| Mar 31, 2026 | 3.72 Mn |
| Dec 31, 2025 | 4.16 Mn |
| Sep 30, 2025 | 3.21 Mn |
| Jun 30, 2025 | 3.35 Mn |
| Mar 31, 2025 | 3.34 Mn |
| Dec 31, 2024 | 3.95 Mn |
| Sep 30, 2024 | 3.23 Mn |
| Jun 30, 2024 | 3.25 Mn |
| Mar 31, 2024 | 3.35 Mn |
| Dec 31, 2023 | 3.68 Mn |
| Sep 30, 2023 | 2.97 Mn |
| Jun 30, 2023 | 2.92 Mn |
| Mar 31, 2023 | 3.25 Mn |
| Dec 31, 2022 | 3.07 Mn |
| Sep 30, 2022 | 3.27 Mn |
| Jun 30, 2022 | 2.87 Mn |
| Mar 31, 2022 | 3.05 Mn |
| Dec 31, 2021 | 3.20 Mn |
| Sep 30, 2021 | 2.80 Mn |
Fuel Tech Selling, General & Administrative 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=selling-general-and-administrative&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();