Fuel Tech (FTEK) Non Operating Interest Expenses (2010 - 2023)
Fuel Tech (FTEK) posted Non Operating Interest Expenses of $6,000 for Q4 2023, up 50.0% from $4,000 a year earlier and up 20.0% from the prior quarter.
Fuel Tech (FTEK) Non Operating Interest Expenses (2010 - 2023) Analysis & Trends
For FY2023, Fuel Tech's Non Operating Interest Expenses came in at $21,000, up 23.5% from FY2022.
- Annual Non Operating Interest Expenses shows a three-year compound annual growth rate of 73.8% (FY2020 to FY2023).
- In prior years, Fuel Tech's Non Operating Interest Expenses was $17,000 in FY2022 (-10.5%), $19,000 in FY2021 (+375.0%) and $4,000 in FY2020.
- The Q4 2023 figure stands as the highest quarterly Non Operating Interest Expenses since Q3 2020.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last three quarters, with growth averaging 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2020, with growth of 200.0%; the weakest was Q3 2021, with a decline of 44.4%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $5,000 (Q3 2023), $5,000 (Q2 2023) and $5,000 (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | -73.10 Mn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 7.00 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 27.00 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | - |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 9.10 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 320,000.00 |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | - |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 2.90 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | - |
| 10 | Fuel Tech | 50.57 Mn | -41.36 Mn | 2.68 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 6,000.00 |
| Sep 30, 2023 | 5,000.00 |
| Jun 30, 2023 | 5,000.00 |
| Mar 31, 2023 | 5,000.00 |
| Dec 31, 2022 | 4,000.00 |
| Sep 30, 2022 | 4,000.00 |
| Jun 30, 2022 | 4,000.00 |
| Mar 31, 2022 | 5,000.00 |
| Dec 31, 2021 | 5,000.00 |
| Sep 30, 2021 | 5,000.00 |
| Jun 30, 2021 | 5,000.00 |
| Mar 31, 2021 | 4,000.00 |
| Dec 31, 2020 | -11,000.00 |
| Sep 30, 2020 | 9,000.00 |
| Jun 30, 2020 | 3,000.00 |
| Mar 31, 2020 | 3,000.00 |
| Sep 30, 2019 | 4,000.00 |
| Jun 30, 2019 | 3,000.00 |
| Mar 31, 2019 | 1,000.00 |
| Dec 31, 2015 | -3,000.00 |
Fuel Tech Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();