FutureFuel (FF) Total Non-Current Liabilities (2010 - 2026)
FutureFuel's Total Non-Current Liabilities came in at $33.34 million for Q2 2026, up 264.6% from $9.14 million a year earlier and up 70.9% from the prior quarter.
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Analysis
FutureFuel (FF) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, FutureFuel's Total Non-Current Liabilities was $19.94 million, up 132.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $8.56 million in FY2024 (-46.0%), $15.86 million in FY2023 (-6.0%), $16.87 million in FY2022 (-17.1%) and $20.35 million in FY2021 (-44.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q4 2020.
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 43.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 264.6%), and the weakest in Q4 2024 (a decline of 46.0%).
- Business Quant data shows FF's Total Non-Current Liabilities at $19.51 million (Q1 2026), $19.94 million (Q4 2025) and $9.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.67 Bn | 213.25 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 116.51 Bn | 109.07 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 81.70 Bn | 80.74 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 67.33 Bn | 62.52 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 41.01 Bn | 30.52 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.46 Bn | 30.29 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Qnity Electronics | 25.24 Bn | 22.38 Bn | 666.00 Mn | 5.75 Bn |
| 8 | Ati | 25.13 Bn | 23.15 Bn | 309.80 Mn | 3.41 Bn |
| 9 | Ppg Industries | 24.28 Bn | 16.93 Bn | 1.81 Bn | 13.30 Bn |
| 10 | FutureFuel | 243.44 Mn | 49.83 Mn | 15.02 Mn | 33.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.34 Mn |
| Mar 31, 2026 | 19.51 Mn |
| Dec 31, 2025 | 19.94 Mn |
| Sep 30, 2025 | 9.05 Mn |
| Jun 30, 2025 | 9.14 Mn |
| Mar 31, 2025 | 8.68 Mn |
| Dec 31, 2024 | 8.56 Mn |
| Sep 30, 2024 | 13.52 Mn |
| Jun 30, 2024 | 13.65 Mn |
| Mar 31, 2024 | 16.04 Mn |
| Dec 31, 2023 | 15.86 Mn |
| Sep 30, 2023 | 16.70 Mn |
| Jun 30, 2023 | 15.45 Mn |
| Mar 31, 2023 | 15.60 Mn |
| Dec 31, 2022 | 16.87 Mn |
| Sep 30, 2022 | 14.13 Mn |
| Jun 30, 2022 | 13.76 Mn |
| Mar 31, 2022 | 17.03 Mn |
| Dec 31, 2021 | 20.35 Mn |
| Sep 30, 2021 | 19.93 Mn |
API Access
FutureFuel 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=FF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FF", "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=FF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();