Fuel Tech (FTEK) Amortizatization of Intangibles (2010 - 2026)
Fuel Tech's Amortizatization of Intangibles came in at $18,000 for Q2 2026, up 100.0% from $9,000 a year earlier but down 30.8% from the prior quarter.
Fuel Tech (FTEK) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fuel Tech reported Amortizatization of Intangibles of $62,000, up 40.9% year-over-year; for FY2025, it was $36,000, down 36.8% from FY2024.
- Amortizatization of Intangibles has declined in each of the last 11 years, with a five-year compound annual growth rate of -27.9% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $57,000 in FY2024 (-6.6%), $61,000 in FY2023 (-30.7%), $88,000 in FY2022 (-43.9%) and $157,000 in FY2021 (-15.1%).
- The five-year range for quarterly Amortizatization of Intangibles is $9,000 (Q1 2025) to $43,000 (Q4 2021).
- Year-over-year, Amortizatization of Intangibles increased in two of the last eight quarters, with growth averaging 14.5%.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q1 2026 (growth of 188.9%), and the weakest in Q1 2022 (a decline of 58.8%).
- Business Quant data shows FTEK's Amortizatization of Intangibles at $26,000 (Q1 2026), $9,000 (Q4 2025) and $9,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 85.10 Mn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 75.00 Mn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 17.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 7.01 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | - |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 1.07 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | - |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | - |
| 10 | Fuel Tech | 51.82 Mn | -40.11 Mn | 2.68 Mn | 18,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18,000.00 |
| Mar 31, 2026 | 26,000.00 |
| Dec 31, 2025 | 9,000.00 |
| Sep 30, 2025 | 9,000.00 |
| Jun 30, 2025 | 9,000.00 |
| Mar 31, 2025 | 9,000.00 |
| Dec 31, 2024 | 15,000.00 |
| Sep 30, 2024 | 11,000.00 |
| Jun 30, 2024 | 15,000.00 |
| Mar 31, 2024 | 16,000.00 |
| Dec 31, 2023 | 15,000.00 |
| Sep 30, 2023 | 16,000.00 |
| Jun 30, 2023 | 19,000.00 |
| Mar 31, 2023 | 11,000.00 |
| Dec 31, 2022 | 18,000.00 |
| Sep 30, 2022 | 20,000.00 |
| Jun 30, 2022 | 36,000.00 |
| Mar 31, 2022 | 14,000.00 |
| Dec 31, 2021 | 43,000.00 |
| Sep 30, 2021 | 43,000.00 |
Fuel Tech Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();