Green Plains (GPRE) Total Liabilities (2009 - 2026)
Green Plains' Total Liabilities came in at $772.91 million for Q3 2026, up 2.0% from $757.53 million a year earlier but down 1.8% from the prior quarter.
Green Plains (GPRE) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Green Plains' Total Liabilities was $812.92 million, down 10.4% from FY2024.
- Total Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $907.64 million in FY2024 (-4.4%), $949.27 million in FY2023 (-10.6%), $1.06 billion in FY2022 (+0.4%) and $1.06 billion in FY2021 (+25.9%).
- The five-year range for quarterly Total Liabilities is $757.53 million (Q3 2025) to $1.21 billion (Q2 2022).
- Year-over-year, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 5.4%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 25.9%), and the weakest in Q2 2024 (a decline of 19.5%).
- Business Quant data shows GPRE's Total Liabilities at $787.22 million (Q2 2026), $795.73 million (Q1 2026) and $812.92 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 1.55 Bn | 670.46 Mn | -5.36 Mn | 1.39 Bn |
| 2 | Rex American Resources | 1.27 Bn | -87.85 Mn | 53.30 Mn | 84.86 Mn |
| 3 | Green Plains | 940.41 Mn | 317.05 Mn | 142.81 Mn | 772.91 Mn |
| 4 | Gevo | 452.70 Mn | 177.08 Mn | 47.81 Mn | 241.84 Mn |
| 5 | Clean Energy Fuels | 405.62 Mn | -158.48 Mn | 41.24 Mn | 480.03 Mn |
| 6 | OPAL Fuels | 215.20 Mn | -105.54 Mn | 27.77 Mn | 971.67 Mn |
| 7 | Montauk Renewables | 136.08 Mn | 63.86 Mn | - | 206.18 Mn |
| 8 | Verde Clean Fuels | 43.66 Mn | -149.00 Mn | - | 2.18 Mn |
| 9 | Blue Biofuels | 38.93 Mn | 38.83 Mn | - | 5.90 Mn |
| 10 | XCF Global | 27.62 Mn | 25.21 Mn | 276,200.00 | 383.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 772.91 Mn |
| Jun 30, 2026 | 787.22 Mn |
| Mar 31, 2026 | 795.73 Mn |
| Dec 31, 2025 | 812.92 Mn |
| Sep 30, 2025 | 757.53 Mn |
| Jun 30, 2025 | 872.08 Mn |
| Mar 31, 2025 | 859.38 Mn |
| Dec 31, 2024 | 907.64 Mn |
| Sep 30, 2024 | 820.99 Mn |
| Jun 30, 2024 | 882.74 Mn |
| Mar 31, 2024 | 898.97 Mn |
| Dec 31, 2023 | 949.27 Mn |
| Sep 30, 2023 | 976.65 Mn |
| Jun 30, 2023 | 1.10 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 988.31 Mn |
| Jun 30, 2022 | 1.21 Bn |
| Mar 31, 2022 | 1.21 Bn |
| Dec 31, 2021 | 1.06 Bn |
Green Plains Total 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-liabilities&ticker=GPRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GPRE", "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-liabilities&ticker=GPRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();