Green Plains (GPRE) Accumulated Expenses (2010 - 2026)
Green Plains (GPRE) posted Accumulated Expenses of $42.53 million for Q2 2026, down 4.2% from $44.41 million a year earlier and down 37.7% from the prior quarter.
Green Plains (GPRE) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Green Plains' Accumulated Expenses came in at $39.43 million, down 26.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior years, Green Plains' Accumulated Expenses was $53.71 million in FY2024 (-5.8%), $57.03 million in FY2023 (+28.3%), $44.44 million in FY2022 (-22.0%) and $56.98 million in FY2021 (+48.1%).
- Quarterly Accumulated Expenses has run from a low of $39.43 million in Q4 2025 to a high of $68.29 million in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 1.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 49.0%; the weakest was Q4 2025, with a decline of 26.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $68.29 million (Q1 2026), $39.43 million (Q4 2025) and $59.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Plug Power | 2.71 Bn | 1.80 Bn | -1.68 Mn |
| 2 | Rex American Resources | 1.44 Bn | 86.32 Mn | 53.30 Mn |
| 3 | Green Plains | 1.06 Bn | 456.27 Mn | 113.03 Mn |
| 4 | Montauk Renewables | 391.06 Mn | 318.84 Mn | - |
| 5 | Clean Energy Fuels | 343.76 Mn | -312.04 Mn | 30.14 Mn |
| 6 | Gevo | 326.35 Mn | 43.33 Mn | 19.80 Mn |
| 7 | OPAL Fuels | 305.82 Mn | 38.43 Mn | 24.47 Mn |
| 8 | Aemetis | 128.25 Mn | 112.00 Mn | 13.52 Mn |
| 9 | Verde Clean Fuels | 47.67 Mn | -150.80 Mn | - |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.53 Mn |
| Mar 31, 2026 | 68.29 Mn |
| Dec 31, 2025 | 39.43 Mn |
| Sep 30, 2025 | 59.08 Mn |
| Jun 30, 2025 | 44.41 Mn |
| Mar 31, 2025 | 48.55 Mn |
| Dec 31, 2024 | 53.71 Mn |
| Sep 30, 2024 | 50.08 Mn |
| Jun 30, 2024 | 52.08 Mn |
| Mar 31, 2024 | 50.35 Mn |
| Dec 31, 2023 | 57.03 Mn |
| Sep 30, 2023 | 57.28 Mn |
| Jun 30, 2023 | 50.22 Mn |
| Mar 31, 2023 | 47.26 Mn |
| Dec 31, 2022 | 44.44 Mn |
| Sep 30, 2022 | 45.95 Mn |
| Jun 30, 2022 | 45.12 Mn |
| Mar 31, 2022 | 46.98 Mn |
| Dec 31, 2021 | 56.98 Mn |
| Sep 30, 2021 | 42.73 Mn |
Green Plains Accumulated Expenses 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=accumulated-expenses&ticker=GPRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GPRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();