Gevo (GEVO) Total Non-Current Liabilities (2010 - 2026)
Gevo's Total Non-Current Liabilities was $215.23 million in Q2 2026, down 10.1% from $239.42 million a year earlier but up 5.8% from the prior quarter.
Gevo (GEVO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Gevo came in at $250.34 million, up 170.3% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 114.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $92.62 million in FY2024, $94.45 million in FY2022 (-3.7%) and $98.04 million in FY2021.
- Quarterly Total Non-Current Liabilities has moved between $77.39 million (Q3 2024) and $250.34 million (Q4 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last five quarters, with growth averaging 94.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2022 (growth of 852.0%); the worst was Q2 2023 (a decline of 17.7%).
- Per Business Quant data, GEVO's Total Non-Current Liabilities in the three quarters before Q2 2026 was $203.47 million (Q1 2026), $250.34 million (Q4 2025) and $214.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 1.93 Bn | 1.01 Bn | -1.68 Mn | 1.43 Bn |
| 2 | Rex American Resources | 1.32 Bn | -133.20 Mn | 53.30 Mn | 18.32 Mn |
| 3 | Green Plains | 958.93 Mn | 359.60 Mn | 113.03 Mn | 740.53 Mn |
| 4 | Clean Energy Fuels | 310.56 Mn | -350.58 Mn | 30.14 Mn | 442.45 Mn |
| 5 | Montauk Renewables | 292.94 Mn | 220.71 Mn | - | 25,000.00 |
| 6 | Gevo | 269.06 Mn | -21.75 Mn | 19.80 Mn | 215.23 Mn |
| 7 | Aemetis | 85.42 Mn | 69.17 Mn | 13.52 Mn | 196.26 Mn |
| 8 | OPAL Fuels | 45.05 Mn | -233.89 Mn | 24.47 Mn | 981.15 Mn |
| 9 | Blue Biofuels | 30.52 Mn | 30.33 Mn | - | 2.00 Mn |
| 10 | Verde Clean Fuels | 21.91 Mn | -202.48 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 215.23 Mn |
| Mar 31, 2026 | 203.13 Mn |
| Dec 31, 2025 | 249.98 Mn |
| Sep 30, 2025 | 213.76 Mn |
| Jun 30, 2025 | 237.24 Mn |
| Mar 31, 2025 | 246.22 Mn |
| Dec 31, 2024 | 92.62 Mn |
| Sep 30, 2024 | 77.39 Mn |
| Jun 30, 2024 | 94.07 Mn |
| Jun 30, 2023 | 91.18 Mn |
| Mar 31, 2023 | 94.67 Mn |
| Dec 31, 2022 | 94.45 Mn |
| Sep 30, 2022 | 102.95 Mn |
| Jun 30, 2022 | 110.84 Mn |
| Mar 31, 2022 | 104.13 Mn |
| Dec 31, 2021 | 98.04 Mn |
| Sep 30, 2021 | 115.46 Mn |
| Jun 30, 2021 | 109.47 Mn |
| Mar 31, 2021 | 10.94 Mn |
| Dec 31, 2020 | 5.54 Mn |
Gevo 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=GEVO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GEVO", "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=GEVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();