Aemetis (AMTX) Total Liabilities (2010 - 2026)
Aemetis' Total Liabilities came in at $611.29 million for Q2 2026, up 15.5% from $529.27 million a year earlier and up 3.4% from the prior quarter.
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Analysis
Aemetis (AMTX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Aemetis' Total Liabilities was $566.67 million, up 8.3% from FY2024.
- Total Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $523.23 million in FY2024 (+13.7%), $460.38 million in FY2023 (+12.6%), $408.97 million in FY2022 (+45.5%) and $281.07 million in FY2021 (-9.3%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for 18 consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2023 (growth of 49.9%), and the weakest in Q4 2021 (a decline of 9.3%).
- Business Quant data shows AMTX's Total Liabilities at $591.47 million (Q1 2026), $566.67 million (Q4 2025) and $545.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.71 Bn | 1.80 Bn | -1.68 Mn | 1.61 Bn |
| 2 | Rex American Resources | 1.44 Bn | 86.32 Mn | 53.30 Mn | 84.86 Mn |
| 3 | Green Plains | 1.06 Bn | 456.27 Mn | 113.03 Mn | 787.13 Mn |
| 4 | Montauk Renewables | 391.06 Mn | 318.84 Mn | - | 206.18 Mn |
| 5 | Clean Energy Fuels | 343.76 Mn | -312.04 Mn | 30.14 Mn | 467.13 Mn |
| 6 | Gevo | 326.35 Mn | 43.33 Mn | 19.80 Mn | 217.55 Mn |
| 7 | OPAL Fuels | 305.82 Mn | 38.43 Mn | 24.47 Mn | 1.00 Bn |
| 8 | Aemetis | 128.25 Mn | 112.00 Mn | 13.52 Mn | 611.29 Mn |
| 9 | Verde Clean Fuels | 47.67 Mn | -150.80 Mn | - | 2.08 Mn |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - | 5.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 611.29 Mn |
| Mar 31, 2026 | 591.47 Mn |
| Dec 31, 2025 | 566.67 Mn |
| Sep 30, 2025 | 545.97 Mn |
| Jun 30, 2025 | 529.27 Mn |
| Mar 31, 2025 | 540.54 Mn |
| Dec 31, 2024 | 523.23 Mn |
| Sep 30, 2024 | 518.21 Mn |
| Jun 30, 2024 | 508.25 Mn |
| Mar 31, 2024 | 491.44 Mn |
| Dec 31, 2023 | 460.38 Mn |
| Sep 30, 2023 | 477.43 Mn |
| Jun 30, 2023 | 451.52 Mn |
| Mar 31, 2023 | 432.80 Mn |
| Dec 31, 2022 | 408.97 Mn |
| Sep 30, 2022 | 383.77 Mn |
| Jun 30, 2022 | 301.17 Mn |
| Mar 31, 2022 | 295.08 Mn |
| Dec 31, 2021 | 281.07 Mn |
| Sep 30, 2021 | 279.07 Mn |
API Access
Aemetis Total Liabilities 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=total-liabilities&ticker=AMTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();