Green Plains (GPRE) Return on Sales [ROS] (2010 - 2026)
Green Plains' Return on Sales [ROS] was 15.21% in Q2 2026, up 20.34 percentage points from -5.13% a year earlier and up 5.17 percentage points from the prior quarter.
Green Plains (GPRE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Green Plains' Return on Sales [ROS] was 7.44% through Jun 30, 2026, up 10.58 percentage points year-over-year; for FY2025, it came in at -3.22%, down 1.28 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +3.16 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -1.93% in FY2024 (-0.06 pp), -1.87% in FY2023 (+0.83 pp), -2.70% in FY2022 (-3.60 pp) and 0.90% in FY2021 (+7.28 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2018.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +4.40 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2026 (a gain of 20.39 percentage points); the worst was Q1 2022 (a drop of 11.79 percentage points).
- Per Business Quant data, GPRE's Return on Sales [ROS] in the three quarters before Q2 2026 was 10.04% (Q1 2026), -2.45% (Q4 2025) and 6.66% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.65 Bn | 1.74 Bn | -1.68 Mn | -35.96% |
| 2 | Rex American Resources | 1.44 Bn | 80.02 Mn | 53.30 Mn | 22.36% |
| 3 | Green Plains | 1.07 Bn | 468.18 Mn | 113.03 Mn | 15.21% |
| 4 | Montauk Renewables | 411.11 Mn | 338.89 Mn | - | -0.14% |
| 5 | Clean Energy Fuels | 343.76 Mn | -312.04 Mn | 30.14 Mn | -4.82% |
| 6 | Gevo | 323.88 Mn | 40.86 Mn | 19.80 Mn | -369.25% |
| 7 | OPAL Fuels | 304.08 Mn | 36.68 Mn | 24.47 Mn | -3.61% |
| 8 | Aemetis | 123.92 Mn | 107.68 Mn | 13.52 Mn | 9.21% |
| 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 | 15.21% |
| Mar 31, 2026 | 10.04% |
| Dec 31, 2025 | -2.45% |
| Sep 30, 2025 | 6.66% |
| Jun 30, 2025 | -5.13% |
| Mar 31, 2025 | -10.35% |
| Dec 31, 2024 | -7.01% |
| Sep 30, 2024 | 8.51% |
| Jun 30, 2024 | -2.86% |
| Mar 31, 2024 | -7.52% |
| Dec 31, 2023 | 2.28% |
| Sep 30, 2023 | 2.37% |
| Jun 30, 2023 | -4.95% |
| Mar 31, 2023 | -6.79% |
| Dec 31, 2022 | -2.52% |
| Sep 30, 2022 | -6.48% |
| Jun 30, 2022 | 3.34% |
| Mar 31, 2022 | -6.13% |
| Dec 31, 2021 | 0.97% |
| Sep 30, 2021 | -5.98% |
Green Plains Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GPRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GPRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();