Aemetis (AMTX) Cost of Revenue (2011 - 2026)
Aemetis (AMTX) posted Cost of Revenue of $49.19 million for Q2 2026, down 11.5% from $55.6 million a year earlier and down 5.2% from the prior quarter.
Aemetis (AMTX) Cost of Revenue (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Aemetis was $206.23 million, down 10.4% year-over-year; for FY2025, it was $208.75 million, down 22.2% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Aemetis' Cost of Revenue was $268.22 million in FY2024 (+45.2%), $184.7 million in FY2023 (-29.5%), $262.05 million in FY2022 (+28.4%) and $204.01 million in FY2021 (+32.0%).
- Quarterly Cost of Revenue has run from a low of $3.45 million in Q1 2023 to a high of $77.56 million in Q3 2024 over five years.
- On a year-over-year basis, Cost of Revenue increased in two of the last eight quarters, with an average decline of 12.8%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2024, with growth of 58.4%; the weakest was Q1 2023, with a decline of 93.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $51.86 million (Q1 2026), $45.94 million (Q4 2025) and $59.25 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 | 49.19 Mn |
| Mar 31, 2026 | 51.86 Mn |
| Dec 31, 2025 | 45.94 Mn |
| Sep 30, 2025 | 59.25 Mn |
| Jun 30, 2025 | 55.60 Mn |
| Mar 31, 2025 | 47.97 Mn |
| Dec 31, 2024 | 49.04 Mn |
| Sep 30, 2024 | 77.56 Mn |
| Jun 30, 2024 | 68.37 Mn |
| Mar 31, 2024 | 73.25 Mn |
| Dec 31, 2023 | 69.90 Mn |
| Sep 30, 2023 | 68.20 Mn |
| Jun 30, 2023 | 43.16 Mn |
| Mar 31, 2023 | 3.45 Mn |
| Dec 31, 2022 | 67.86 Mn |
| Sep 30, 2022 | 72.94 Mn |
| Jun 30, 2022 | 66.12 Mn |
| Mar 31, 2022 | 55.13 Mn |
| Dec 31, 2021 | 51.68 Mn |
| Sep 30, 2021 | 54.68 Mn |
Aemetis 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=AMTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "AMTX", "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=AMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();