Green Plains (GPRE) Total Current Liabilities (2010 - 2026)
Green Plains (GPRE) posted Total Current Liabilities of $313.75 million for Q2 2026, up 5.6% from $297 million a year earlier but down 1.3% from the prior quarter.
Green Plains (GPRE) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Green Plains' Total Current Liabilities came in at $268.71 million, down 30.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- In prior years, Green Plains' Total Current Liabilities was $385.69 million in FY2024 (+0.2%), $384.96 million in FY2023 (-20.9%), $486.92 million in FY2022 (+3.2%) and $471.8 million in FY2021 (+4.3%).
- Quarterly Total Current Liabilities has run from a low of $266.09 million in Q3 2025 to a high of $647.57 million in Q2 2022 over five years.
- On a year-over-year basis, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 9.6%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2022, with growth of 74.7%; the weakest was Q2 2024, with a decline of 36.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $318.03 million (Q1 2026), $268.71 million (Q4 2025) and $266.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.60 Bn | 1.68 Bn | -1.68 Mn | 493.88 Mn |
| 2 | Rex American Resources | 1.41 Bn | 57.46 Mn | 53.30 Mn | 66.54 Mn |
| 3 | Green Plains | 1.04 Bn | 438.04 Mn | 113.03 Mn | 313.75 Mn |
| 4 | Montauk Renewables | 401.08 Mn | 328.86 Mn | - | 44.33 Mn |
| 5 | Clean Energy Fuels | 350.37 Mn | -305.43 Mn | 30.14 Mn | 130.71 Mn |
| 6 | Gevo | 331.30 Mn | 48.28 Mn | 19.80 Mn | 37.64 Mn |
| 7 | OPAL Fuels | 314.56 Mn | 47.17 Mn | 24.47 Mn | 89.88 Mn |
| 8 | Aemetis | 133.29 Mn | 117.04 Mn | 13.52 Mn | 415.03 Mn |
| 9 | Verde Clean Fuels | 50.79 Mn | -147.69 Mn | - | 2.08 Mn |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - | 3.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 313.75 Mn |
| Mar 31, 2026 | 318.03 Mn |
| Dec 31, 2025 | 268.71 Mn |
| Sep 30, 2025 | 266.09 Mn |
| Jun 30, 2025 | 297.00 Mn |
| Mar 31, 2025 | 325.74 Mn |
| Dec 31, 2024 | 385.69 Mn |
| Sep 30, 2024 | 316.12 Mn |
| Jun 30, 2024 | 328.46 Mn |
| Mar 31, 2024 | 336.40 Mn |
| Dec 31, 2023 | 384.96 Mn |
| Sep 30, 2023 | 402.47 Mn |
| Jun 30, 2023 | 513.79 Mn |
| Mar 31, 2023 | 478.84 Mn |
| Dec 31, 2022 | 486.92 Mn |
| Sep 30, 2022 | 420.60 Mn |
| Jun 30, 2022 | 647.57 Mn |
| Mar 31, 2022 | 580.66 Mn |
| Dec 31, 2021 | 471.80 Mn |
| Sep 30, 2021 | 404.30 Mn |
Green Plains 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=GPRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GPRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();