Gevo (GEVO) Operating Expenses (2010 - 2026)
Gevo (GEVO) recorded Operating Expenses of $191.51 million in Q2 2026, compared with $13.14 million a year earlier and up 300.3% from the prior quarter.
Gevo (GEVO) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Gevo's Operating Expenses came in at $333.28 million as of Jun 30, 2026, up 193.1% year-over-year; for FY2025, it was $180.79 million, up 67.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 59.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $107.74 million in FY2024 (+8.8%), $99.04 million in FY2023 (-4.6%), $103.86 million in FY2022 (+70.8%) and $60.8 million in FY2021 (+247.6%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses rose in four of the last seven quarters, with growth averaging 27.3%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 300.3% in Q4 2021, against a decline of 55.1% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $47.85 million (Q1 2026), $47.53 million (Q4 2025) and $46.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.67 Bn | 1.75 Bn | -1.68 Mn | 62.43 Mn |
| 2 | Rex American Resources | 1.41 Bn | 56.79 Mn | 53.30 Mn | 15.62 Mn |
| 3 | Green Plains | 1.03 Bn | 431.73 Mn | 113.03 Mn | 378.35 Mn |
| 4 | Montauk Renewables | 421.14 Mn | 348.92 Mn | - | 54.10 Mn |
| 5 | Clean Energy Fuels | 345.96 Mn | -309.83 Mn | 30.14 Mn | 111.49 Mn |
| 6 | Gevo | 328.83 Mn | 45.80 Mn | 19.80 Mn | 191.51 Mn |
| 7 | OPAL Fuels | 309.32 Mn | 41.92 Mn | 24.47 Mn | 86.41 Mn |
| 8 | Aemetis | 131.85 Mn | 115.60 Mn | 13.52 Mn | 7.74 Mn |
| 9 | Verde Clean Fuels | 50.34 Mn | -148.13 Mn | - | 2.52 Mn |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - | 731,106.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.51 Mn |
| Mar 31, 2026 | 47.85 Mn |
| Dec 31, 2025 | 47.53 Mn |
| Sep 30, 2025 | 46.40 Mn |
| Jun 30, 2025 | 13.14 Mn |
| Mar 31, 2025 | 49.25 Mn |
| Dec 31, 2024 | 25.35 Mn |
| Sep 30, 2024 | 25.97 Mn |
| Jun 30, 2024 | 29.29 Mn |
| Mar 31, 2024 | 27.13 Mn |
| Dec 31, 2023 | 25.71 Mn |
| Sep 30, 2023 | 25.25 Mn |
| Jun 30, 2023 | 23.15 Mn |
| Mar 31, 2023 | 24.92 Mn |
| Dec 31, 2022 | 27.24 Mn |
| Sep 30, 2022 | 44.24 Mn |
| Jun 30, 2022 | 16.20 Mn |
| Mar 31, 2022 | 16.19 Mn |
| Dec 31, 2021 | 24.80 Mn |
| Sep 30, 2021 | 11.37 Mn |
Gevo Operating 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=operating-expenses&ticker=GEVO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GEVO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GEVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();