Green Plains (GPRE) Cost of Revenue (2010 - 2026)
Green Plains (GPRE) reported Cost of Revenue of $333.19 million for Q2 2026, down 34.8% from $511.26 million a year earlier and down 6.9% from the prior quarter.
Green Plains (GPRE) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Green Plains' Cost of Revenue came in at $1.54 billion, down 32.3% year-over-year; for FY2025, it came in at $1.95 billion, down 16.0% from FY2024.
- Cost of Revenue has declined for three consecutive years, though with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $2.33 billion in FY2024 (-25.6%), $3.13 billion in FY2023 (-11.8%), $3.55 billion in FY2022 (+35.2%) and $2.63 billion in FY2021 (+44.9%).
- The Q2 2026 figure ranks as the lowest quarterly Cost of Revenue in data going back to Q2 2010.
- Year over year, Cost of Revenue has now declined in each of the last five quarters, with an average decline of 22.3% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q3 2021 (growth of 85.4%); the low point was Q1 2026 (a decline of 40.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $357.86 million (Q1 2026), $388.7 million (Q4 2025) and $456.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.65 Bn | 1.74 Bn | -1.68 Mn | 179.97 Mn |
| 2 | Rex American Resources | 1.44 Bn | 80.02 Mn | 53.30 Mn | 133.60 Mn |
| 3 | Green Plains | 1.07 Bn | 468.18 Mn | 113.03 Mn | 333.19 Mn |
| 4 | Montauk Renewables | 411.11 Mn | 338.89 Mn | - | - |
| 5 | Clean Energy Fuels | 343.76 Mn | -312.04 Mn | 30.14 Mn | 76.22 Mn |
| 6 | Gevo | 323.88 Mn | 40.86 Mn | 19.80 Mn | 19.92 Mn |
| 7 | OPAL Fuels | 304.08 Mn | 36.68 Mn | 24.47 Mn | 58.93 Mn |
| 8 | Aemetis | 123.92 Mn | 107.68 Mn | 13.52 Mn | 49.19 Mn |
| 9 | Verde Clean Fuels | 48.56 Mn | -149.91 Mn | - | - |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 333.19 Mn |
| Mar 31, 2026 | 357.86 Mn |
| Dec 31, 2025 | 388.70 Mn |
| Sep 30, 2025 | 456.32 Mn |
| Jun 30, 2025 | 511.26 Mn |
| Mar 31, 2025 | 598.48 Mn |
| Dec 31, 2024 | 577.87 Mn |
| Sep 30, 2024 | 580.63 Mn |
| Jun 30, 2024 | 581.00 Mn |
| Mar 31, 2024 | 588.85 Mn |
| Dec 31, 2023 | 638.57 Mn |
| Sep 30, 2023 | 818.01 Mn |
| Jun 30, 2023 | 842.16 Mn |
| Mar 31, 2023 | 832.26 Mn |
| Dec 31, 2022 | 899.49 Mn |
| Sep 30, 2022 | 956.86 Mn |
| Jun 30, 2022 | 921.31 Mn |
| Mar 31, 2022 | 772.51 Mn |
| Dec 31, 2021 | 746.29 Mn |
| Sep 30, 2021 | 730.18 Mn |
Green Plains Cost of Revenue 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=cost-of-revenue&ticker=GPRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GPRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();