Fuel Tech (FTEK) Total Non-Current Liabilities (2010 - 2026)
Fuel Tech (FTEK) recorded Total Non-Current Liabilities of $5.53 million in Q2 2026, down 8.3% from $6.04 million a year earlier and down 1.9% from the prior quarter.
Fuel Tech (FTEK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Fuel Tech reported Total Non-Current Liabilities of $6.95 million, up 5.7% from FY2024.
- Annual Total Non-Current Liabilities has increased for four straight years, though with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $6.58 million in FY2024 (+2.9%), $6.39 million in FY2023 (+27.6%), $5.01 million in FY2022 (+43.8%) and $3.48 million in FY2021 (-53.3%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 4.6%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 43.8% in Q4 2022, against a decline of 53.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.64 million (Q1 2026), $6.95 million (Q4 2025) and $6.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 19.38 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 6.11 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 4.74 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 143.42 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 1.63 Bn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 222.57 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 24.14 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 100.65 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 4.27 Mn |
| 10 | Fuel Tech | 50.57 Mn | -41.36 Mn | 2.68 Mn | 5.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.53 Mn |
| Mar 31, 2026 | 5.64 Mn |
| Dec 31, 2025 | 6.95 Mn |
| Sep 30, 2025 | 6.60 Mn |
| Jun 30, 2025 | 6.04 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 6.58 Mn |
| Sep 30, 2024 | 5.97 Mn |
| Jun 30, 2024 | 5.15 Mn |
| Mar 31, 2024 | 5.21 Mn |
| Dec 31, 2023 | 6.39 Mn |
| Sep 30, 2023 | 5.96 Mn |
| Jun 30, 2023 | 5.68 Mn |
| Mar 31, 2023 | 5.40 Mn |
| Dec 31, 2022 | 5.01 Mn |
| Sep 30, 2022 | 4.61 Mn |
| Jun 30, 2022 | 4.28 Mn |
| Mar 31, 2022 | 4.22 Mn |
| Dec 31, 2021 | 3.48 Mn |
| Sep 30, 2021 | 4.29 Mn |
Fuel Tech Total Non-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-non-current-liabilities&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();