Fuel Tech (FTEK) Total Current Liabilities (2009 - 2026)
Fuel Tech (FTEK) recorded Total Current Liabilities of $4.98 million in Q3 2026, down 15.8% from $5.91 million a year earlier but up 1.4% from the prior quarter.
Fuel Tech (FTEK) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Fuel Tech reported Total Current Liabilities of $6.27 million, up 7.1% from FY2024.
- Annual Total Current Liabilities has increased for four straight years, with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $5.86 million in FY2024 (+2.9%), $5.69 million in FY2023 (+19.3%), $4.77 million in FY2022 (+47.9%) and $3.22 million in FY2021 (-41.7%).
- Quarterly Total Current Liabilities has ranged from $3.22 million in Q4 2021 to $6.27 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in five of the last eight quarters, with growth averaging 3.4%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 47.9% in Q4 2022, against a decline of 41.7% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.91 million (Q2 2026), $4.99 million (Q1 2026) and $6.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | 6.38 Bn |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | 1.64 Bn |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | 2.84 Bn |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | 148.30 Mn |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | 740.52 Mn |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 123.73 Mn |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | 19.89 Mn |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | 9.86 Mn |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | 2.19 Mn |
| 10 | Fuel Tech | 42.77 Mn | -41.13 Mn | 3.91 Mn | 4.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.98 Mn |
| Jun 30, 2026 | 4.91 Mn |
| Mar 31, 2026 | 4.99 Mn |
| Dec 31, 2025 | 6.27 Mn |
| Sep 30, 2025 | 5.91 Mn |
| Jun 30, 2025 | 5.33 Mn |
| Mar 31, 2025 | 4.29 Mn |
| Dec 31, 2024 | 5.86 Mn |
| Sep 30, 2024 | 5.32 Mn |
| Jun 30, 2024 | 4.48 Mn |
| Mar 31, 2024 | 4.53 Mn |
| Dec 31, 2023 | 5.69 Mn |
| Sep 30, 2023 | 5.43 Mn |
| Jun 30, 2023 | 5.13 Mn |
| Mar 31, 2023 | 5.18 Mn |
| Dec 31, 2022 | 4.77 Mn |
| Sep 30, 2022 | 4.37 Mn |
| Jun 30, 2022 | 4.03 Mn |
| Mar 31, 2022 | 3.98 Mn |
| Dec 31, 2021 | 3.22 Mn |
Fuel Tech Total Current Liabilities 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=total-current-liabilities&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();