Aemetis (AMTX) Accumulated Expenses (2020 - 2024)
Aemetis' Accumulated Expenses came in at $900,000 for Q4 2024, up 125.0% from $400,000 a year earlier.
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Analysis
Aemetis (AMTX) Accumulated Expenses (2020 - 2024) Analysis & Trends
Going back to Q4 2020, Aemetis' Accumulated Expenses data covers 10 quarters.
- Accumulated Expenses carries a four-year compound annual growth rate of 3.0% (FY2020 to FY2024).
- Going back by year, Accumulated Expenses was $400,000 in FY2023, $300,000 in FY2021 (-62.5%) and $800,000 in FY2020.
- The Q4 2024 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Plug Power | 2.64 Bn | 1.73 Bn | -1.68 Mn |
| 2 | Rex American Resources | 1.45 Bn | 95.61 Mn | 53.30 Mn |
| 3 | Green Plains | 1.05 Bn | 447.15 Mn | 113.03 Mn |
| 4 | Montauk Renewables | 399.65 Mn | 327.43 Mn | - |
| 5 | Clean Energy Fuels | 345.96 Mn | -309.83 Mn | 30.14 Mn |
| 6 | Gevo | 326.35 Mn | 43.33 Mn | 19.80 Mn |
| 7 | OPAL Fuels | 305.82 Mn | 38.43 Mn | 24.47 Mn |
| 8 | Aemetis | 124.64 Mn | 108.40 Mn | 13.52 Mn |
| 9 | Verde Clean Fuels | 48.56 Mn | -149.91 Mn | - |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 900,000.00 |
| Mar 31, 2024 | 200,000.00 |
| Dec 31, 2023 | 400,000.00 |
| Sep 30, 2023 | 200,000.00 |
| Jun 30, 2023 | 200,000.00 |
| Mar 31, 2023 | 100,000.00 |
| Jun 30, 2022 | 10,000.00 |
| Mar 31, 2022 | 200,000.00 |
| Dec 31, 2021 | 300,000.00 |
| Dec 31, 2020 | 800,000.00 |
API Access
Aemetis Accumulated 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=accumulated-expenses&ticker=AMTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();