Green Plains (GPRE) Cash & Equivalents (2009 - 2026)
Green Plains (GPRE) reported Cash & Equivalents of $159.99 million for Q3 2026, up 17.7% from $135.9 million a year earlier but down 13.7% from the prior quarter.
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Analysis
Green Plains (GPRE) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Green Plains posted Cash & Equivalents of $182.32 million, up 5.4% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $173.04 million in FY2024 (-50.5%), $349.57 million in FY2023 (-21.4%), $444.66 million in FY2022 (+4.3%) and $426.22 million in FY2021 (+55.1%).
- Five-year quarterly Cash & Equivalents spans a low of $95.72 million in Q1 2026 and a high of $509.2 million in Q1 2022.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with an average decline of 12.9%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 70.7%); the low point was Q1 2025 (a decline of 58.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $185.38 million (Q2 2026), $95.72 million (Q1 2026) and $182.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 1.55 Bn | 670.46 Mn | -5.36 Mn | 134.13 Mn |
| 2 | Rex American Resources | 1.27 Bn | -87.85 Mn | 53.30 Mn | 91.33 Mn |
| 3 | Green Plains | 940.41 Mn | 317.05 Mn | 142.81 Mn | 159.99 Mn |
| 4 | Gevo | 452.70 Mn | 177.08 Mn | 47.81 Mn | 67.55 Mn |
| 5 | Clean Energy Fuels | 405.62 Mn | -158.48 Mn | 41.24 Mn | 141.82 Mn |
| 6 | OPAL Fuels | 215.20 Mn | -105.54 Mn | 27.77 Mn | 86.00 Mn |
| 7 | Montauk Renewables | 136.08 Mn | 63.86 Mn | - | 15.76 Mn |
| 8 | Verde Clean Fuels | 43.66 Mn | -149.00 Mn | - | 52.55 Mn |
| 9 | Blue Biofuels | 38.93 Mn | 38.83 Mn | - | 6,473.00 |
| 10 | XCF Global | 27.62 Mn | 25.21 Mn | 276,200.00 | 329,084.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 159.99 Mn |
| Jun 30, 2026 | 185.38 Mn |
| Mar 31, 2026 | 95.72 Mn |
| Dec 31, 2025 | 182.32 Mn |
| Sep 30, 2025 | 135.90 Mn |
| Jun 30, 2025 | 108.62 Mn |
| Mar 31, 2025 | 98.61 Mn |
| Dec 31, 2024 | 173.04 Mn |
| Sep 30, 2024 | 227.46 Mn |
| Jun 30, 2024 | 195.55 Mn |
| Mar 31, 2024 | 237.30 Mn |
| Dec 31, 2023 | 349.57 Mn |
| Sep 30, 2023 | 326.70 Mn |
| Jun 30, 2023 | 312.86 Mn |
| Mar 31, 2023 | 354.20 Mn |
| Dec 31, 2022 | 444.66 Mn |
| Sep 30, 2022 | 420.84 Mn |
| Jun 30, 2022 | 508.15 Mn |
| Mar 31, 2022 | 509.20 Mn |
| Dec 31, 2021 | 426.22 Mn |
API Access
Green Plains Cash & Equivalents 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=cash-and-equivalents&ticker=GPRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GPRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();