Fuel Tech (FTEK) Depreciation and Depletion (2010 - 2026)
Fuel Tech (FTEK) posted Depreciation and Depletion of $184,000 for Q3 2026, up 12.9% from $163,000 a year earlier and up 3.4% from the prior quarter.
Fuel Tech (FTEK) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation and Depletion at Fuel Tech was $710,000, up 10.1% year-over-year; for FY2025, it was $663,000, up 64.5% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, Fuel Tech's Depreciation and Depletion was $403,000 in FY2024 (+43.4%), $281,000 in FY2023 (-20.2%), $352,000 in FY2022 (-39.7%) and $584,000 in FY2021 (-11.9%).
- The Q3 2026 figure stands as the highest quarterly Depreciation and Depletion since Q2 2019.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last eight quarters, with growth averaging 86.2% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2024, with growth of 355.9%; the weakest was Q4 2023, with a decline of 60.0%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $178,000 (Q2 2026), $175,000 (Q1 2026) and $173,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | 181.10 Mn |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | 11.00 Mn |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | 65.00 Mn |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | 2.64 Mn |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | - |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | - |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | - |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | 387,000.00 |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | - |
| 10 | Fuel Tech | 42.77 Mn | -41.13 Mn | 3.91 Mn | 184,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 184,000.00 |
| Jun 30, 2026 | 178,000.00 |
| Mar 31, 2026 | 175,000.00 |
| Dec 31, 2025 | 173,000.00 |
| Sep 30, 2025 | 163,000.00 |
| Jun 30, 2025 | 163,000.00 |
| Mar 31, 2025 | 164,000.00 |
| Dec 31, 2024 | 155,000.00 |
| Sep 30, 2024 | 87,000.00 |
| Jun 30, 2024 | 81,000.00 |
| Mar 31, 2024 | 80,000.00 |
| Dec 31, 2023 | 34,000.00 |
| Sep 30, 2023 | 93,000.00 |
| Jun 30, 2023 | 75,000.00 |
| Mar 31, 2023 | 79,000.00 |
| Dec 31, 2022 | 85,000.00 |
| Sep 30, 2022 | 85,000.00 |
| Jun 30, 2022 | 88,000.00 |
| Mar 31, 2022 | 94,000.00 |
| Dec 31, 2021 | 127,000.00 |
Fuel Tech Depreciation and Depletion 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=depreciation-and-depletion&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();